# Docker Registry Paths and Example Code
Docker Registry Paths and Example Code

The following topics list the Docker registry path and other parameters for each of the Amazon SageMaker AI provided algorithms and Deep Learning Containers (DLC). For more information, see [Use Pre-built SageMaker Docker images](https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-prebuilt.html).

Use the path as follows:
+ To create a training job ([create\$1training\$1job](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_training_job)), specify the Docker registry path (`TrainingImage`) and the training input mode (`TrainingInputMode`) for the training image. You create a training job to train a model using a specific dataset.
+ To create a model ([create\$1model](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_model)), specify the Docker registry path (`Image`) for the inference image (`PrimaryContainer Image`). SageMaker AI launches machine learning compute instances that are based on the endpoint configuration and deploys the model, which includes the artifacts (the result of model training).
+ To create a model monitor, select the AWS Region, then select **Model Monitor (algorithm)**. For more information, see [Amazon SageMaker AI Model Monitor prebuilt container](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-pre-built-container.html).

**Note**  
Pre-built container images are owned by SageMaker AI, and in some cases include proprietary code. Capabilities such as training and processing jobs, batch transform, and real-time inference use service-owned credentials to pull and run images on managed SageMaker AI instances. Because customer credentials aren't used, any AWS IAM policies (including service control policies and resource control policies) that deny Amazon ECR permissions don't prevent the use of pre-built images.

**Note**  
For the registry path, use the `:1` version tag to ensure that you are using a stable version of the algorithm/DLC. You can reliably host a model trained using an image with the `:1` tag on an inference image that has the `:1` tag. Using the `:latest` tag in the registry path provides you with the most up-to-date version of the algorithm/DLC, but might cause problems with backward compatibility. Avoid using the `:latest` tag for production purposes.

**Important**  
When you retrieve the SageMaker AI XGBoost image URI, do not use `:latest` or `:1` for the image URI tag. You must specify one of the [Supported versions](https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost.html#xgboost-supported-versions) to choose the SageMaker AI-managed XGBoost container with the native XGBoost package version that you want to use. To find the package version migrated into the SageMaker AI XGBoost containers, choose your AWS Region then navigate to the **XGBoost (algorithm)** section.

To find the registry path, choose the AWS Region, then choose the algorithm or DLC.

**Topics**
+ [US East (N. Virginia)](ecr-us-east-1.md)
+ [US East (Ohio)](ecr-us-east-2.md)
+ [US West (N. California)](ecr-us-west-1.md)
+ [US West (Oregon)](ecr-us-west-2.md)
+ [Africa (Cape Town)](ecr-af-south-1.md)
+ [Asia Pacific (Hong Kong)](ecr-ap-east-1.md)
+ [Docker Registry Paths and Example Code for (ap-east-2)](ecr-ap-east-2.md)
+ [Asia Pacific (Hyderabad)](ecr-ap-south-2.md)
+ [Asia Pacific (Jakarta)](ecr-ap-southeast-3.md)
+ [Asia Pacific (Malaysia)](ecr-ap-southeast-5.md)
+ [Asia Pacific (Melbourne)](ecr-ap-southeast-4.md)
+ [Asia Pacific (Mumbai)](ecr-ap-south-1.md)
+ [Asia Pacific (Osaka)](ecr-ap-northeast-3.md)
+ [Asia Pacific (Seoul)](ecr-ap-northeast-2.md)
+ [Asia Pacific (Singapore)](ecr-ap-southeast-1.md)
+ [Asia Pacific (Sydney)](ecr-ap-southeast-2.md)
+ [Asia Pacific (Thailand)](ecr-ap-southeast-7.md)
+ [Asia Pacific (Tokyo)](ecr-ap-northeast-1.md)
+ [Canada (Central)](ecr-ca-central-1.md)
+ [Canada West (Calgary)](ecr-ca-west-1.md)
+ [China (Beijing)](ecr-cn-north-1.md)
+ [China (Ningxia)](ecr-cn-northwest-1.md)
+ [Europe (Frankfurt)](ecr-eu-central-1.md)
+ [Europe (Ireland)](ecr-eu-west-1.md)
+ [Europe (London)](ecr-eu-west-2.md)
+ [Europe (Milan)](ecr-eu-south-1.md)
+ [Europe (Paris)](ecr-eu-west-3.md)
+ [Europe (Spain)](ecr-eu-south-2.md)
+ [Europe (Stockholm)](ecr-eu-north-1.md)
+ [Europe (Zurich)](ecr-eu-central-2.md)
+ [Israel (Tel Aviv)](ecr-il-central-1.md)
+ [Mexico (Central)](ecr-mx-central-1.md)
+ [Middle East (Bahrain)](ecr-me-south-1.md)
+ [Middle East (UAE)](ecr-me-central-1.md)
+ [South America (São Paulo)](ecr-sa-east-1.md)
+ [AWS GovCloud (US-East)](ecr-us-gov-east-1.md)
+ [AWS GovCloud (US-West)](ecr-us-gov-west-1.md)

# Docker Registry Paths and Example Code for US East (N. Virginia) (us-east-1)
US East (N. Virginia)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-east-1)
+ [

## BlazingText (algorithm)
](#blazingtext-us-east-1)
+ [

## Chainer (DLC)
](#chainer-us-east-1)
+ [

## Clarify (algorithm)
](#clarify-us-east-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-east-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-us-east-1)
+ [

## Debugger (algorithm)
](#debugger-us-east-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-east-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-east-1)
+ [

## Hugging Face (algorithm)
](#huggingface-us-east-1)
+ [

## IP Insights (algorithm)
](#ipinsights-us-east-1)
+ [

## Image classification (algorithm)
](#image-classification-us-east-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-east-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-east-1)
+ [

## K-Means (algorithm)
](#kmeans-us-east-1)
+ [

## KNN (algorithm)
](#knn-us-east-1)
+ [

## LDA (algorithm)
](#lda-us-east-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-east-1)
+ [

## MXNet (DLC)
](#mxnet-us-east-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-us-east-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-us-east-1)
+ [

## NTM (algorithm)
](#ntm-us-east-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-east-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-east-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-east-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-east-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-east-1)
+ [

## Object Detection (algorithm)
](#object-detection-us-east-1)
+ [

## Object2Vec (algorithm)
](#object2vec-us-east-1)
+ [

## PCA (algorithm)
](#pca-us-east-1)
+ [

## PyTorch (DLC)
](#pytorch-us-east-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-us-east-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-us-east-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-east-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-us-east-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-east-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-east-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-east-1)
+ [

## Spark (algorithm)
](#spark-us-east-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-us-east-1)
+ [

## Tensorflow (DLC)
](#tensorflow-us-east-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-us-east-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-east-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-us-east-1)
+ [

## VW (algorithm)
](#vw-us-east-1)
+ [

## XGBoost (algorithm)
](#xgboost-us-east-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-east-1',image_scope='inference',version='0.4')

# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:0.4-cpu-py38'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-east-1')

# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/blazingtext:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')

# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:5.0.0-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-east-1',version='1.0',image_scope='processing')

# Output path
'205585389593.dkr.ecr.us-east-1.amazonaws.com/sagemaker-clarify-processing:1.0'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 205585389593.dkr.ecr.us-east-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')

# Output path
'763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='us-east-1')

# Output path
'663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:1.x'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-east-1')

# Output path
'503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-east-1')

# Output path
'522234722520.dkr.ecr.us-east-1.amazonaws.com/forecasting-deepar:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 522234722520.dkr.ecr.us-east-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')

# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.4.2-gpu-py37'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/ipinsights:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-east-1')

# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/image-classification:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:1.5.1-inf-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-east-1',version='1.9',py_version='py3')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:1.9-inf-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/kmeans:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/knn:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-east-1')

# Output path
'766337827248.dkr.ecr.us-east-1.amazonaws.com/lda:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 766337827248.dkr.ecr.us-east-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')

# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:1.4.1-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')

# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='us-east-1')

# Output path
'156813124566.dkr.ecr.us-east-1.amazonaws.com/sagemaker-model-monitor-analyzer'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 156813124566.dkr.ecr.us-east-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/ntm:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-east-1')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/image-classification-neo:latest'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-mxnet:1.8-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:1.6-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:1.15.3-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-east-1')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/xgboost-neo:latest'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-east-1')

# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/object-detection:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/object2vec:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/pca:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')

# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.8.0-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')

# Output path
'763104351884.dkr.ecr.us-west-2.amazon.aws.com/pytorch-neuron:1.10.2-neuron-py37-sdk1.19.0-ubuntu18.04'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')

# Output path
'763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-trcomp-training:1.12.0-gpu-py38-cu113-ubuntu20.04-sagemaker'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-east-1')

# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='us-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')

# Output path
'462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-cpu-py36'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-east-1',version='0.23-1',image_scope='inference')

# Output path
'683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:0.23-1-cpu-py3'
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-east-1')

# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/semantic-segmentation:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-east-1')

# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/seq2seq:1'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-east-1',version='3.0',image_scope='processing')

# Output path
'173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:3.0-cpu'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-east-1',version='2.4')

# Output path
'683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:2.4'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')

# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:1.12.0-cpu'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-east-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')

# Output path
'462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-cpu-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-east-1',version='1.15.0',instance_type='ml.inf1.6xlarge')

# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-tensorflow:1.15.0-inf-py3'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')

# Output path
'462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-cpu-py36'
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='us-east-1',version='8.7.0',image_scope='training')

# Output path
'462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-cpu'
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-east-1',version='1.5-1')

# Output path
'683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:1.5-1'
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for US East (Ohio) (us-east-2)
US East (Ohio)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-east-2)
+ [

## BlazingText (algorithm)
](#blazingtext-us-east-2)
+ [

## Chainer (DLC)
](#chainer-us-east-2)
+ [

## Clarify (algorithm)
](#clarify-us-east-2)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-east-2)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-us-east-2)
+ [

## Debugger (algorithm)
](#debugger-us-east-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-east-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-east-2)
+ [

## Hugging Face (algorithm)
](#huggingface-us-east-2)
+ [

## IP Insights (algorithm)
](#ipinsights-us-east-2)
+ [

## Image classification (algorithm)
](#image-classification-us-east-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-east-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-east-2)
+ [

## K-Means (algorithm)
](#kmeans-us-east-2)
+ [

## KNN (algorithm)
](#knn-us-east-2)
+ [

## LDA (algorithm)
](#lda-us-east-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-east-2)
+ [

## MXNet (DLC)
](#mxnet-us-east-2)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-us-east-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-us-east-2)
+ [

## NTM (algorithm)
](#ntm-us-east-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-east-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-east-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-east-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-east-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-east-2)
+ [

## Object Detection (algorithm)
](#object-detection-us-east-2)
+ [

## Object2Vec (algorithm)
](#object2vec-us-east-2)
+ [

## PCA (algorithm)
](#pca-us-east-2)
+ [

## PyTorch (DLC)
](#pytorch-us-east-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-us-east-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-us-east-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-east-2)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-us-east-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-east-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-east-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-east-2)
+ [

## Spark (algorithm)
](#spark-us-east-2)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-us-east-2)
+ [

## Tensorflow (DLC)
](#tensorflow-us-east-2)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-us-east-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-east-2)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-us-east-2)
+ [

## VW (algorithm)
](#vw-us-east-2)
+ [

## XGBoost (algorithm)
](#xgboost-us-east-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-east-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-east-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-east-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 211330385671.dkr.ecr.us-east-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 915447279597.dkr.ecr.us-east-2.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 566113047672.dkr.ecr.us-east-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-east-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-east-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-east-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 999911452149.dkr.ecr.us-east-2.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-east-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-east-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 777275614652.dkr.ecr.us-east-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-east-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-east-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-east-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-east-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='us-east-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-east-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-east-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-east-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-east-2',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-east-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-east-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-east-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-east-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='us-east-2',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-east-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for US West (N. California) (us-west-1)
US West (N. California)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-west-1)
+ [

## BlazingText (algorithm)
](#blazingtext-us-west-1)
+ [

## Chainer (DLC)
](#chainer-us-west-1)
+ [

## Clarify (algorithm)
](#clarify-us-west-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-west-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-us-west-1)
+ [

## Debugger (algorithm)
](#debugger-us-west-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-west-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-west-1)
+ [

## Hugging Face (algorithm)
](#huggingface-us-west-1)
+ [

## IP Insights (algorithm)
](#ipinsights-us-west-1)
+ [

## Image classification (algorithm)
](#image-classification-us-west-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-west-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-west-1)
+ [

## K-Means (algorithm)
](#kmeans-us-west-1)
+ [

## KNN (algorithm)
](#knn-us-west-1)
+ [

## LDA (algorithm)
](#lda-us-west-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-west-1)
+ [

## MXNet (DLC)
](#mxnet-us-west-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-us-west-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-us-west-1)
+ [

## NTM (algorithm)
](#ntm-us-west-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-west-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-west-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-west-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-west-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-west-1)
+ [

## Object Detection (algorithm)
](#object-detection-us-west-1)
+ [

## Object2Vec (algorithm)
](#object2vec-us-west-1)
+ [

## PCA (algorithm)
](#pca-us-west-1)
+ [

## PyTorch (DLC)
](#pytorch-us-west-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-us-west-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-west-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-us-west-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-west-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-west-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-west-1)
+ [

## Spark (algorithm)
](#spark-us-west-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-us-west-1)
+ [

## Tensorflow (DLC)
](#tensorflow-us-west-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-us-west-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-west-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-us-west-1)
+ [

## VW (algorithm)
](#vw-us-west-1)
+ [

## XGBoost (algorithm)
](#xgboost-us-west-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-west-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-west-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-west-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 740489534195.dkr.ecr.us-west-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 926135532090.dkr.ecr.us-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 926135532090.dkr.ecr.us-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 926135532090.dkr.ecr.us-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685455198987.dkr.ecr.us-west-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-west-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-west-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-west-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 890145073186.dkr.ecr.us-west-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-west-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-west-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-west-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='us-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-west-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-west-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 667973535471.dkr.ecr.us-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 667973535471.dkr.ecr.us-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 667973535471.dkr.ecr.us-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 667973535471.dkr.ecr.us-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 667973535471.dkr.ecr.us-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-west-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-west-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-west-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 710691900526.dkr.ecr.us-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='us-west-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-west-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 632365934929.dkr.ecr.us-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 746614075791.dkr.ecr.us-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for US West (Oregon) (us-west-2)
US West (Oregon)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-west-2)
+ [

## BlazingText (algorithm)
](#blazingtext-us-west-2)
+ [

## Chainer (DLC)
](#chainer-us-west-2)
+ [

## Clarify (algorithm)
](#clarify-us-west-2)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-west-2)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-us-west-2)
+ [

## Debugger (algorithm)
](#debugger-us-west-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-west-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-west-2)
+ [

## Hugging Face (algorithm)
](#huggingface-us-west-2)
+ [

## IP Insights (algorithm)
](#ipinsights-us-west-2)
+ [

## Image classification (algorithm)
](#image-classification-us-west-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-west-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-west-2)
+ [

## K-Means (algorithm)
](#kmeans-us-west-2)
+ [

## KNN (algorithm)
](#knn-us-west-2)
+ [

## LDA (algorithm)
](#lda-us-west-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-west-2)
+ [

## MXNet (DLC)
](#mxnet-us-west-2)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-us-west-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-us-west-2)
+ [

## NTM (algorithm)
](#ntm-us-west-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-west-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-west-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-west-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-west-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-west-2)
+ [

## Object Detection (algorithm)
](#object-detection-us-west-2)
+ [

## Object2Vec (algorithm)
](#object2vec-us-west-2)
+ [

## PCA (algorithm)
](#pca-us-west-2)
+ [

## PyTorch (DLC)
](#pytorch-us-west-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-us-west-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-us-west-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-west-2)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-us-west-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-west-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-west-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-west-2)
+ [

## Spark (algorithm)
](#spark-us-west-2)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-us-west-2)
+ [

## Tensorflow (DLC)
](#tensorflow-us-west-2)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-us-west-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-west-2)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-us-west-2)
+ [

## VW (algorithm)
](#vw-us-west-2)
+ [

## XGBoost (algorithm)
](#xgboost-us-west-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-west-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-west-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-west-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306415355426.dkr.ecr.us-west-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174368400705.dkr.ecr.us-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 174368400705.dkr.ecr.us-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 174368400705.dkr.ecr.us-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 156387875391.dkr.ecr.us-west-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-west-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-west-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-west-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 266724342769.dkr.ecr.us-west-2.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-west-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-west-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 159807026194.dkr.ecr.us-west-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-west-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-west-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-west-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-west-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 174872318107.dkr.ecr.us-west-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='us-west-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-west-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-west-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 153931337802.dkr.ecr.us-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 153931337802.dkr.ecr.us-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 153931337802.dkr.ecr.us-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 153931337802.dkr.ecr.us-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 153931337802.dkr.ecr.us-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-west-2',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-west-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-west-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-west-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 301217895009.dkr.ecr.us-west-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-west-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='us-west-2',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-west-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Africa (Cape Town) (af-south-1)
Africa (Cape Town)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-af-south-1)
+ [

## BlazingText (algorithm)
](#blazingtext-af-south-1)
+ [

## Chainer (DLC)
](#chainer-af-south-1)
+ [

## Clarify (algorithm)
](#clarify-af-south-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-af-south-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-af-south-1)
+ [

## Debugger (algorithm)
](#debugger-af-south-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-af-south-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-af-south-1)
+ [

## Hugging Face (algorithm)
](#huggingface-af-south-1)
+ [

## IP Insights (algorithm)
](#ipinsights-af-south-1)
+ [

## Image classification (algorithm)
](#image-classification-af-south-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-af-south-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-af-south-1)
+ [

## K-Means (algorithm)
](#kmeans-af-south-1)
+ [

## KNN (algorithm)
](#knn-af-south-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-af-south-1)
+ [

## MXNet (DLC)
](#mxnet-af-south-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-af-south-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-af-south-1)
+ [

## NTM (algorithm)
](#ntm-af-south-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-af-south-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-af-south-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-af-south-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-af-south-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-af-south-1)
+ [

## Object Detection (algorithm)
](#object-detection-af-south-1)
+ [

## Object2Vec (algorithm)
](#object2vec-af-south-1)
+ [

## PCA (algorithm)
](#pca-af-south-1)
+ [

## PyTorch (DLC)
](#pytorch-af-south-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-af-south-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-af-south-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-af-south-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-af-south-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-af-south-1)
+ [

## Spark (algorithm)
](#spark-af-south-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-af-south-1)
+ [

## Tensorflow (DLC)
](#tensorflow-af-south-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-af-south-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-af-south-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-af-south-1)
+ [

## XGBoost (algorithm)
](#xgboost-af-south-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='af-south-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='af-south-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='af-south-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 811711786498.dkr.ecr.af-south-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 143210264188.dkr.ecr.af-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 143210264188.dkr.ecr.af-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 143210264188.dkr.ecr.af-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 314341159256.dkr.ecr.af-south-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='af-south-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='af-south-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='af-south-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='af-south-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='af-south-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 875698925577.dkr.ecr.af-south-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='af-south-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='af-south-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='af-south-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='af-south-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='af-south-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='af-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='af-south-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 309385258863.dkr.ecr.af-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 309385258863.dkr.ecr.af-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 309385258863.dkr.ecr.af-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 309385258863.dkr.ecr.af-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 309385258863.dkr.ecr.af-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='af-south-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='af-south-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 626614931356.dkr.ecr.af-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='af-south-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='af-south-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 774647643957.dkr.ecr.af-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='af-south-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 313743910680.dkr.ecr.af-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='af-south-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 455444449433.dkr.ecr.af-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 510948584623.dkr.ecr.af-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Hong Kong) (ap-east-1)
Asia Pacific (Hong Kong)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-east-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-east-1)
+ [

## Chainer (DLC)
](#chainer-ap-east-1)
+ [

## Clarify (algorithm)
](#clarify-ap-east-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-east-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-east-1)
+ [

## Debugger (algorithm)
](#debugger-ap-east-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-east-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-east-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-east-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-east-1)
+ [

## Image classification (algorithm)
](#image-classification-ap-east-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-east-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-east-1)
+ [

## K-Means (algorithm)
](#kmeans-ap-east-1)
+ [

## KNN (algorithm)
](#knn-ap-east-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-east-1)
+ [

## MXNet (DLC)
](#mxnet-ap-east-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-east-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-east-1)
+ [

## NTM (algorithm)
](#ntm-ap-east-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-east-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-east-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-east-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-east-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-east-1)
+ [

## Object Detection (algorithm)
](#object-detection-ap-east-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-east-1)
+ [

## PCA (algorithm)
](#pca-ap-east-1)
+ [

## PyTorch (DLC)
](#pytorch-ap-east-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-east-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-east-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-east-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-east-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-east-1)
+ [

## Spark (algorithm)
](#spark-ap-east-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-east-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-east-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-east-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-east-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-east-1)
+ [

## XGBoost (algorithm)
](#xgboost-ap-east-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-east-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-east-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 098760798382.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 707077482487.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 707077482487.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 707077482487.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 199566480951.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-east-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 001633400207.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-east-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-east-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-east-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-east-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-east-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-east-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 286214385809.dkr.ecr.ap-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for (ap-east-2)


The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## PyTorch (DLC)
](#pytorch-ap-east-2)
+ [

## Spark (algorithm)
](#spark-ap-east-2)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-east-2)

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-east-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-east-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 533267296287.dkr.ecr.ap-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 533267296287.dkr.ecr.ap-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 533267296287.dkr.ecr.ap-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 533267296287.dkr.ecr.ap-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 533267296287.dkr.ecr.ap-east-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-east-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 975050140332.dkr.ecr.ap-east-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

# Docker Registry Paths and Example Code for Asia Pacific (Hyderabad) (ap-south-2)
Asia Pacific (Hyderabad)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-south-2)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-south-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-south-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-south-2)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-south-2)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-south-2)
+ [

## Image classification (algorithm)
](#image-classification-ap-south-2)
+ [

## K-Means (algorithm)
](#kmeans-ap-south-2)
+ [

## KNN (algorithm)
](#knn-ap-south-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-south-2)
+ [

## MXNet (DLC)
](#mxnet-ap-south-2)
+ [

## NTM (algorithm)
](#ntm-ap-south-2)
+ [

## Object Detection (algorithm)
](#object-detection-ap-south-2)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-south-2)
+ [

## PCA (algorithm)
](#pca-ap-south-2)
+ [

## PyTorch (DLC)
](#pytorch-ap-south-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-south-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-south-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-south-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-south-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-south-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-south-2)
+ [

## Spark (algorithm)
](#spark-ap-south-2)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-south-2)
+ [

## XGBoost (algorithm)
](#xgboost-ap-south-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-south-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-south-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-south-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-south-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-south-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-south-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-south-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-south-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Jakarta) (ap-southeast-3)
Asia Pacific (Jakarta)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-southeast-3)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-southeast-3)
+ [

## Clarify (algorithm)
](#clarify-ap-southeast-3)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-southeast-3)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-southeast-3)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-southeast-3)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-southeast-3)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-southeast-3)
+ [

## Image classification (algorithm)
](#image-classification-ap-southeast-3)
+ [

## K-Means (algorithm)
](#kmeans-ap-southeast-3)
+ [

## KNN (algorithm)
](#knn-ap-southeast-3)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-southeast-3)
+ [

## MXNet (DLC)
](#mxnet-ap-southeast-3)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-southeast-3)
+ [

## NTM (algorithm)
](#ntm-ap-southeast-3)
+ [

## Object Detection (algorithm)
](#object-detection-ap-southeast-3)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-southeast-3)
+ [

## PCA (algorithm)
](#pca-ap-southeast-3)
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-3)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-southeast-3)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-southeast-3)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-southeast-3)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-southeast-3)
+ [

## Spark (algorithm)
](#spark-ap-southeast-3)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-southeast-3)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-3)
+ [

## XGBoost (algorithm)
](#xgboost-ap-southeast-3)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-southeast-3',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-southeast-3',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 705930551576.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-southeast-3',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-southeast-3',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669540362728.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-3',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-southeast-3',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-southeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-3',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-southeast-3',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-3',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-southeast-3',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Malaysia) (ap-southeast-5)
Asia Pacific (Malaysia)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-5)
+ [

## Spark (algorithm)
](#spark-ap-southeast-5)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-5)

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-5',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-5',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 841784149062.dkr.ecr.ap-southeast-5.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 841784149062.dkr.ecr.ap-southeast-5.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 841784149062.dkr.ecr.ap-southeast-5.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 841784149062.dkr.ecr.ap-southeast-5.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 841784149062.dkr.ecr.ap-southeast-5.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-5',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 550225433462.dkr.ecr.ap-southeast-5.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

# Docker Registry Paths and Example Code for Asia Pacific (Melbourne) (ap-southeast-4)
Asia Pacific (Melbourne)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-southeast-4)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-southeast-4)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-southeast-4)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-southeast-4)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-southeast-4)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-southeast-4)
+ [

## Image classification (algorithm)
](#image-classification-ap-southeast-4)
+ [

## K-Means (algorithm)
](#kmeans-ap-southeast-4)
+ [

## KNN (algorithm)
](#knn-ap-southeast-4)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-southeast-4)
+ [

## MXNet (DLC)
](#mxnet-ap-southeast-4)
+ [

## NTM (algorithm)
](#ntm-ap-southeast-4)
+ [

## Object Detection (algorithm)
](#object-detection-ap-southeast-4)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-southeast-4)
+ [

## PCA (algorithm)
](#pca-ap-southeast-4)
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-4)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-southeast-4)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-southeast-4)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-southeast-4)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-southeast-4)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-southeast-4)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-southeast-4)
+ [

## Spark (algorithm)
](#spark-ap-southeast-4)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-4)
+ [

## XGBoost (algorithm)
](#xgboost-ap-southeast-4)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-southeast-4',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-southeast-4',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-southeast-4',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-4',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-southeast-4',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-southeast-4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-4',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 819679513684.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 819679513684.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 819679513684.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 819679513684.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 819679513684.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-4',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 457447274322.dkr.ecr.ap-southeast-4.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-southeast-4',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 106583098589.dkr.ecr.ap-southeast-4.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Mumbai) (ap-south-1)
Asia Pacific (Mumbai)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-south-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-south-1)
+ [

## Chainer (DLC)
](#chainer-ap-south-1)
+ [

## Clarify (algorithm)
](#clarify-ap-south-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-south-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-south-1)
+ [

## Debugger (algorithm)
](#debugger-ap-south-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-south-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-south-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-south-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-south-1)
+ [

## Image classification (algorithm)
](#image-classification-ap-south-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-south-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-south-1)
+ [

## K-Means (algorithm)
](#kmeans-ap-south-1)
+ [

## KNN (algorithm)
](#knn-ap-south-1)
+ [

## LDA (algorithm)
](#lda-ap-south-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-south-1)
+ [

## MXNet (DLC)
](#mxnet-ap-south-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-south-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-south-1)
+ [

## NTM (algorithm)
](#ntm-ap-south-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-south-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-south-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-south-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-south-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-south-1)
+ [

## Object Detection (algorithm)
](#object-detection-ap-south-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-south-1)
+ [

## PCA (algorithm)
](#pca-ap-south-1)
+ [

## PyTorch (DLC)
](#pytorch-ap-south-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-south-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-south-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-south-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ap-south-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-south-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-south-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-south-1)
+ [

## Spark (algorithm)
](#spark-ap-south-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-south-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-south-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-south-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-south-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-south-1)
+ [

## VW (algorithm)
](#vw-ap-south-1)
+ [

## XGBoost (algorithm)
](#xgboost-ap-south-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-south-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-south-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-south-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 452307495513.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 089933028263.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 089933028263.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 089933028263.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 904829902805.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-south-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-south-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-south-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-south-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-south-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 126357580389.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-south-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-south-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-south-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-south-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ap-south-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-south-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-south-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 105495057255.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 105495057255.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 105495057255.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 105495057255.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 105495057255.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-south-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-south-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-south-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-south-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 763008648453.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-south-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ap-south-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-south-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 991648021394.dkr.ecr.ap-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 720646828776.dkr.ecr.ap-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Osaka) (ap-northeast-3)
Asia Pacific (Osaka)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-northeast-3)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-northeast-3)
+ [

## Clarify (algorithm)
](#clarify-ap-northeast-3)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-northeast-3)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-northeast-3)
+ [

## Debugger (algorithm)
](#debugger-ap-northeast-3)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-northeast-3)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-northeast-3)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-northeast-3)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-northeast-3)
+ [

## Image classification (algorithm)
](#image-classification-ap-northeast-3)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-northeast-3)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-northeast-3)
+ [

## K-Means (algorithm)
](#kmeans-ap-northeast-3)
+ [

## KNN (algorithm)
](#knn-ap-northeast-3)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-northeast-3)
+ [

## MXNet (DLC)
](#mxnet-ap-northeast-3)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-northeast-3)
+ [

## NTM (algorithm)
](#ntm-ap-northeast-3)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-northeast-3)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-northeast-3)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-northeast-3)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-northeast-3)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-northeast-3)
+ [

## Object Detection (algorithm)
](#object-detection-ap-northeast-3)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-northeast-3)
+ [

## PCA (algorithm)
](#pca-ap-northeast-3)
+ [

## PyTorch (DLC)
](#pytorch-ap-northeast-3)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-northeast-3)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-northeast-3)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-northeast-3)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-northeast-3)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-northeast-3)
+ [

## Spark (algorithm)
](#spark-ap-northeast-3)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-northeast-3)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-northeast-3)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-northeast-3)
+ [

## XGBoost (algorithm)
](#xgboost-ap-northeast-3)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-northeast-3',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-northeast-3',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 912233562940.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 913387583493.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 913387583493.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 913387583493.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 479947661362.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-northeast-3',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-northeast-3',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-northeast-3',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-northeast-3',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 990339680094.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-northeast-3',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-northeast-3',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-northeast-3',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-northeast-3',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-northeast-3',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-northeast-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-northeast-3',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 102471314380.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 102471314380.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 102471314380.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 102471314380.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 102471314380.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-northeast-3',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-northeast-3',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 364406365360.dkr.ecr.ap-northeast-3.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-northeast-3',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 925152966179.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-northeast-3',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 867004704886.dkr.ecr.ap-northeast-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Seoul) (ap-northeast-2)
Asia Pacific (Seoul)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-northeast-2)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-northeast-2)
+ [

## Chainer (DLC)
](#chainer-ap-northeast-2)
+ [

## Clarify (algorithm)
](#clarify-ap-northeast-2)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-northeast-2)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-northeast-2)
+ [

## Debugger (algorithm)
](#debugger-ap-northeast-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-northeast-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-northeast-2)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-northeast-2)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-northeast-2)
+ [

## Image classification (algorithm)
](#image-classification-ap-northeast-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-northeast-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-northeast-2)
+ [

## K-Means (algorithm)
](#kmeans-ap-northeast-2)
+ [

## KNN (algorithm)
](#knn-ap-northeast-2)
+ [

## LDA (algorithm)
](#lda-ap-northeast-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-northeast-2)
+ [

## MXNet (DLC)
](#mxnet-ap-northeast-2)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-northeast-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-northeast-2)
+ [

## NTM (algorithm)
](#ntm-ap-northeast-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-northeast-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-northeast-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-northeast-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-northeast-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-northeast-2)
+ [

## Object Detection (algorithm)
](#object-detection-ap-northeast-2)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-northeast-2)
+ [

## PCA (algorithm)
](#pca-ap-northeast-2)
+ [

## PyTorch (DLC)
](#pytorch-ap-northeast-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-northeast-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-northeast-2)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ap-northeast-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-northeast-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-northeast-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-northeast-2)
+ [

## Spark (algorithm)
](#spark-ap-northeast-2)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-northeast-2)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-northeast-2)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-northeast-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-northeast-2)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-northeast-2)
+ [

## VW (algorithm)
](#vw-ap-northeast-2)
+ [

## XGBoost (algorithm)
](#xgboost-ap-northeast-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-northeast-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-northeast-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-northeast-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 263625296855.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 131546521161.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 131546521161.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 131546521161.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 578805364391.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 204372634319.dkr.ecr.ap-northeast-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-northeast-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-northeast-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-northeast-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 293181348795.dkr.ecr.ap-northeast-2.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-northeast-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-northeast-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 709848358524.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-northeast-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-northeast-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-northeast-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-northeast-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835164637446.dkr.ecr.ap-northeast-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ap-northeast-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-northeast-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-northeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-northeast-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 860869212795.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 860869212795.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 860869212795.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 860869212795.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 860869212795.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-northeast-2',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-northeast-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-northeast-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-northeast-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 151534178276.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-northeast-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ap-northeast-2',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-northeast-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 306986355934.dkr.ecr.ap-northeast-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 366743142698.dkr.ecr.ap-northeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Singapore) (ap-southeast-1)
Asia Pacific (Singapore)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-southeast-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-southeast-1)
+ [

## Chainer (DLC)
](#chainer-ap-southeast-1)
+ [

## Clarify (algorithm)
](#clarify-ap-southeast-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-southeast-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-southeast-1)
+ [

## Debugger (algorithm)
](#debugger-ap-southeast-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-southeast-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-southeast-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-southeast-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-southeast-1)
+ [

## Image classification (algorithm)
](#image-classification-ap-southeast-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-southeast-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-southeast-1)
+ [

## K-Means (algorithm)
](#kmeans-ap-southeast-1)
+ [

## KNN (algorithm)
](#knn-ap-southeast-1)
+ [

## LDA (algorithm)
](#lda-ap-southeast-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-southeast-1)
+ [

## MXNet (DLC)
](#mxnet-ap-southeast-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-southeast-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-southeast-1)
+ [

## NTM (algorithm)
](#ntm-ap-southeast-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-southeast-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-southeast-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-southeast-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-southeast-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-southeast-1)
+ [

## Object Detection (algorithm)
](#object-detection-ap-southeast-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-southeast-1)
+ [

## PCA (algorithm)
](#pca-ap-southeast-1)
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-southeast-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-southeast-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-southeast-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ap-southeast-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-southeast-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-southeast-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-southeast-1)
+ [

## Spark (algorithm)
](#spark-ap-southeast-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-southeast-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-southeast-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-southeast-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-southeast-1)
+ [

## VW (algorithm)
](#vw-ap-southeast-1)
+ [

## XGBoost (algorithm)
](#xgboost-ap-southeast-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-southeast-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-southeast-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-southeast-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 834264404009.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 119527597002.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 119527597002.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 119527597002.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 972752614525.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-southeast-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-southeast-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-southeast-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-southeast-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-southeast-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 245545462676.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-southeast-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-southeast-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-southeast-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ap-southeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-southeast-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-southeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 759080221371.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 759080221371.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 759080221371.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 759080221371.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 759080221371.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-southeast-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-southeast-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-southeast-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 324986816169.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-southeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ap-southeast-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-southeast-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 475088953585.dkr.ecr.ap-southeast-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Sydney) (ap-southeast-2)
Asia Pacific (Sydney)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-southeast-2)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-southeast-2)
+ [

## Chainer (DLC)
](#chainer-ap-southeast-2)
+ [

## Clarify (algorithm)
](#clarify-ap-southeast-2)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-southeast-2)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-southeast-2)
+ [

## Debugger (algorithm)
](#debugger-ap-southeast-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-southeast-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-southeast-2)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-southeast-2)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-southeast-2)
+ [

## Image classification (algorithm)
](#image-classification-ap-southeast-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-southeast-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-southeast-2)
+ [

## K-Means (algorithm)
](#kmeans-ap-southeast-2)
+ [

## KNN (algorithm)
](#knn-ap-southeast-2)
+ [

## LDA (algorithm)
](#lda-ap-southeast-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-southeast-2)
+ [

## MXNet (DLC)
](#mxnet-ap-southeast-2)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-southeast-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-southeast-2)
+ [

## NTM (algorithm)
](#ntm-ap-southeast-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-southeast-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-southeast-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-southeast-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-southeast-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-southeast-2)
+ [

## Object Detection (algorithm)
](#object-detection-ap-southeast-2)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-southeast-2)
+ [

## PCA (algorithm)
](#pca-ap-southeast-2)
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-southeast-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-southeast-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-southeast-2)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ap-southeast-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-southeast-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-southeast-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-southeast-2)
+ [

## Spark (algorithm)
](#spark-ap-southeast-2)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-southeast-2)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-2)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-southeast-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-southeast-2)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-southeast-2)
+ [

## VW (algorithm)
](#vw-ap-southeast-2)
+ [

## XGBoost (algorithm)
](#xgboost-ap-southeast-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-southeast-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-southeast-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-southeast-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 007051062584.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 422173101802.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 422173101802.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 422173101802.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 184798709955.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 514117268639.dkr.ecr.ap-southeast-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-southeast-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-southeast-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-southeast-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 297031611018.dkr.ecr.ap-southeast-2.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-southeast-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-southeast-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 563025443158.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-southeast-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-southeast-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-southeast-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 712309505854.dkr.ecr.ap-southeast-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ap-southeast-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-southeast-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-southeast-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 440695851116.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 440695851116.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 440695851116.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 440695851116.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 440695851116.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-southeast-2',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-southeast-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-southeast-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 355873309152.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-southeast-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ap-southeast-2',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-southeast-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 544295431143.dkr.ecr.ap-southeast-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 783357654285.dkr.ecr.ap-southeast-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Asia Pacific (Thailand) (ap-southeast-7)
Asia Pacific (Thailand)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## PyTorch (DLC)
](#pytorch-ap-southeast-7)
+ [

## Spark (algorithm)
](#spark-ap-southeast-7)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-southeast-7)

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-7',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-7',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 471112967968.dkr.ecr.ap-southeast-7.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 471112967968.dkr.ecr.ap-southeast-7.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 471112967968.dkr.ecr.ap-southeast-7.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 471112967968.dkr.ecr.ap-southeast-7.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 471112967968.dkr.ecr.ap-southeast-7.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-7',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 590183813437.dkr.ecr.ap-southeast-7.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

# Docker Registry Paths and Example Code for Asia Pacific (Tokyo) (ap-northeast-1)
Asia Pacific (Tokyo)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ap-northeast-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ap-northeast-1)
+ [

## Chainer (DLC)
](#chainer-ap-northeast-1)
+ [

## Clarify (algorithm)
](#clarify-ap-northeast-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ap-northeast-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ap-northeast-1)
+ [

## Debugger (algorithm)
](#debugger-ap-northeast-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ap-northeast-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ap-northeast-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ap-northeast-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ap-northeast-1)
+ [

## Image classification (algorithm)
](#image-classification-ap-northeast-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ap-northeast-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ap-northeast-1)
+ [

## K-Means (algorithm)
](#kmeans-ap-northeast-1)
+ [

## KNN (algorithm)
](#knn-ap-northeast-1)
+ [

## LDA (algorithm)
](#lda-ap-northeast-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ap-northeast-1)
+ [

## MXNet (DLC)
](#mxnet-ap-northeast-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ap-northeast-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-ap-northeast-1)
+ [

## NTM (algorithm)
](#ntm-ap-northeast-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ap-northeast-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ap-northeast-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ap-northeast-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ap-northeast-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ap-northeast-1)
+ [

## Object Detection (algorithm)
](#object-detection-ap-northeast-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ap-northeast-1)
+ [

## PCA (algorithm)
](#pca-ap-northeast-1)
+ [

## PyTorch (DLC)
](#pytorch-ap-northeast-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ap-northeast-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ap-northeast-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ap-northeast-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ap-northeast-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ap-northeast-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ap-northeast-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ap-northeast-1)
+ [

## Spark (algorithm)
](#spark-ap-northeast-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ap-northeast-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ap-northeast-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ap-northeast-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ap-northeast-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ap-northeast-1)
+ [

## VW (algorithm)
](#vw-ap-northeast-1)
+ [

## XGBoost (algorithm)
](#xgboost-ap-northeast-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-northeast-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ap-northeast-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-northeast-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 377024640650.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 649008135260.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 649008135260.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 649008135260.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 430734990657.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 633353088612.dkr.ecr.ap-northeast-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-northeast-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ap-northeast-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ap-northeast-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 258307448986.dkr.ecr.ap-northeast-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-northeast-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ap-northeast-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 574779866223.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ap-northeast-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ap-northeast-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ap-northeast-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-northeast-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ap-northeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-northeast-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-northeast-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-northeast-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-northeast-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-northeast-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ap-northeast-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ap-northeast-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ap-northeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ap-northeast-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ap-northeast-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Canada (Central) (ca-central-1)
Canada (Central)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ca-central-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ca-central-1)
+ [

## Chainer (DLC)
](#chainer-ca-central-1)
+ [

## Clarify (algorithm)
](#clarify-ca-central-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ca-central-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-ca-central-1)
+ [

## Debugger (algorithm)
](#debugger-ca-central-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ca-central-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ca-central-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ca-central-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ca-central-1)
+ [

## Image classification (algorithm)
](#image-classification-ca-central-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-ca-central-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-ca-central-1)
+ [

## K-Means (algorithm)
](#kmeans-ca-central-1)
+ [

## KNN (algorithm)
](#knn-ca-central-1)
+ [

## LDA (algorithm)
](#lda-ca-central-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ca-central-1)
+ [

## MXNet (DLC)
](#mxnet-ca-central-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-ca-central-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-ca-central-1)
+ [

## NTM (algorithm)
](#ntm-ca-central-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-ca-central-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-ca-central-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-ca-central-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-ca-central-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-ca-central-1)
+ [

## Object Detection (algorithm)
](#object-detection-ca-central-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ca-central-1)
+ [

## PCA (algorithm)
](#pca-ca-central-1)
+ [

## PyTorch (DLC)
](#pytorch-ca-central-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ca-central-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ca-central-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-ca-central-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ca-central-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ca-central-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ca-central-1)
+ [

## Spark (algorithm)
](#spark-ca-central-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-ca-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ca-central-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-ca-central-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-ca-central-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-ca-central-1)
+ [

## VW (algorithm)
](#vw-ca-central-1)
+ [

## XGBoost (algorithm)
](#xgboost-ca-central-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ca-central-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='ca-central-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ca-central-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 675030665977.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 557239378090.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 557239378090.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 557239378090.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 519511493484.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ca-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='ca-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='ca-central-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ca-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='ca-central-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 536280801234.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='ca-central-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='ca-central-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='ca-central-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ca-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='ca-central-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ca-central-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ca-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ca-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 446299261295.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 446299261295.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 446299261295.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 446299261295.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 446299261295.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ca-central-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ca-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.ca-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='ca-central-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='ca-central-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 464438896020.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='ca-central-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='ca-central-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ca-central-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 469771592824.dkr.ecr.ca-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Canada West (Calgary) (ca-west-1)
Canada West (Calgary)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-ca-west-1)
+ [

## BlazingText (algorithm)
](#blazingtext-ca-west-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-ca-west-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-ca-west-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-ca-west-1)
+ [

## Hugging Face (algorithm)
](#huggingface-ca-west-1)
+ [

## IP Insights (algorithm)
](#ipinsights-ca-west-1)
+ [

## Image classification (algorithm)
](#image-classification-ca-west-1)
+ [

## K-Means (algorithm)
](#kmeans-ca-west-1)
+ [

## KNN (algorithm)
](#knn-ca-west-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-ca-west-1)
+ [

## MXNet (DLC)
](#mxnet-ca-west-1)
+ [

## NTM (algorithm)
](#ntm-ca-west-1)
+ [

## Object Detection (algorithm)
](#object-detection-ca-west-1)
+ [

## Object2Vec (algorithm)
](#object2vec-ca-west-1)
+ [

## PCA (algorithm)
](#pca-ca-west-1)
+ [

## PyTorch (DLC)
](#pytorch-ca-west-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-ca-west-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-ca-west-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-ca-west-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-ca-west-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-ca-west-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-ca-west-1)
+ [

## Spark (algorithm)
](#spark-ca-west-1)
+ [

## Tensorflow (DLC)
](#tensorflow-ca-west-1)
+ [

## XGBoost (algorithm)
](#xgboost-ca-west-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ca-west-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ca-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ca-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ca-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ca-west-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ca-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ca-west-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 000907499111.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ca-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 204538143572.dkr.ecr.ca-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='ca-west-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 190319476487.dkr.ecr.ca-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for China (Beijing) (cn-north-1)
China (Beijing)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-cn-north-1)
+ [

## BlazingText (algorithm)
](#blazingtext-cn-north-1)
+ [

## Chainer (DLC)
](#chainer-cn-north-1)
+ [

## Clarify (algorithm)
](#clarify-cn-north-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-cn-north-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-cn-north-1)
+ [

## Debugger (algorithm)
](#debugger-cn-north-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-cn-north-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-cn-north-1)
+ [

## Hugging Face (algorithm)
](#huggingface-cn-north-1)
+ [

## IP Insights (algorithm)
](#ipinsights-cn-north-1)
+ [

## Image classification (algorithm)
](#image-classification-cn-north-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-cn-north-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-cn-north-1)
+ [

## K-Means (algorithm)
](#kmeans-cn-north-1)
+ [

## KNN (algorithm)
](#knn-cn-north-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-cn-north-1)
+ [

## MXNet (DLC)
](#mxnet-cn-north-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-cn-north-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-cn-north-1)
+ [

## NTM (algorithm)
](#ntm-cn-north-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-cn-north-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-cn-north-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-cn-north-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-cn-north-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-cn-north-1)
+ [

## Object Detection (algorithm)
](#object-detection-cn-north-1)
+ [

## Object2Vec (algorithm)
](#object2vec-cn-north-1)
+ [

## PCA (algorithm)
](#pca-cn-north-1)
+ [

## PyTorch (DLC)
](#pytorch-cn-north-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-cn-north-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-cn-north-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-cn-north-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-cn-north-1)
+ [

## Spark (algorithm)
](#spark-cn-north-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-cn-north-1)
+ [

## Tensorflow (DLC)
](#tensorflow-cn-north-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-cn-north-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-cn-north-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-cn-north-1)
+ [

## XGBoost (algorithm)
](#xgboost-cn-north-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='cn-north-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.3.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.2.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.1.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.1.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.0.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.8.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.7.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.6.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.6.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.5.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.3 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.3.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='cn-north-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='cn-north-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 122526803553---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 245909111842---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 245909111842---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 245909111842---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 618459771430---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='cn-north-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='cn-north-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='cn-north-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='cn-north-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='cn-north-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 453000072557---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='cn-north-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='cn-north-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='cn-north-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='cn-north-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='cn-north-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='cn-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='cn-north-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 671472414489---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 671472414489---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 671472414489---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 671472414489---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 671472414489---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='cn-north-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='cn-north-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='cn-north-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='cn-north-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 472730292857---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='cn-north-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 422961961927---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='cn-north-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/xgboost:<tag> | 1 | 0.72 | inference | 
| 390948362332---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/xgboost:<tag> | 1 | 0.72 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 450853457545---dkr---ecr---cn-north-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for China (Ningxia) (cn-northwest-1)
China (Ningxia)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-cn-northwest-1)
+ [

## BlazingText (algorithm)
](#blazingtext-cn-northwest-1)
+ [

## Chainer (DLC)
](#chainer-cn-northwest-1)
+ [

## Clarify (algorithm)
](#clarify-cn-northwest-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-cn-northwest-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-cn-northwest-1)
+ [

## Debugger (algorithm)
](#debugger-cn-northwest-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-cn-northwest-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-cn-northwest-1)
+ [

## Hugging Face (algorithm)
](#huggingface-cn-northwest-1)
+ [

## IP Insights (algorithm)
](#ipinsights-cn-northwest-1)
+ [

## Image classification (algorithm)
](#image-classification-cn-northwest-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-cn-northwest-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-cn-northwest-1)
+ [

## K-Means (algorithm)
](#kmeans-cn-northwest-1)
+ [

## KNN (algorithm)
](#knn-cn-northwest-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-cn-northwest-1)
+ [

## MXNet (DLC)
](#mxnet-cn-northwest-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-cn-northwest-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-cn-northwest-1)
+ [

## NTM (algorithm)
](#ntm-cn-northwest-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-cn-northwest-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-cn-northwest-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-cn-northwest-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-cn-northwest-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-cn-northwest-1)
+ [

## Object Detection (algorithm)
](#object-detection-cn-northwest-1)
+ [

## Object2Vec (algorithm)
](#object2vec-cn-northwest-1)
+ [

## PCA (algorithm)
](#pca-cn-northwest-1)
+ [

## PyTorch (DLC)
](#pytorch-cn-northwest-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-cn-northwest-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-cn-northwest-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-cn-northwest-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-cn-northwest-1)
+ [

## Spark (algorithm)
](#spark-cn-northwest-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-cn-northwest-1)
+ [

## Tensorflow (DLC)
](#tensorflow-cn-northwest-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-cn-northwest-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-cn-northwest-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-cn-northwest-1)
+ [

## XGBoost (algorithm)
](#xgboost-cn-northwest-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='cn-northwest-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.3.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.2.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.1.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.1.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 1.0.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.8.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.7.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.6.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.6.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.5.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.3 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.4.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.3.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='cn-northwest-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='cn-northwest-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 122578899357---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249157047649---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 249157047649---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 249157047649---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 658757709296---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='cn-northwest-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='cn-northwest-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='cn-northwest-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='cn-northwest-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='cn-northwest-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 453252182341---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='cn-northwest-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='cn-northwest-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='cn-northwest-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='cn-northwest-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='cn-northwest-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='cn-northwest-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='cn-northwest-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 844356804704---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 844356804704---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 844356804704---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 844356804704---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 844356804704---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='cn-northwest-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='cn-northwest-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='cn-northwest-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='cn-northwest-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 474822919863---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='cn-northwest-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 423003514399---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='cn-northwest-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/xgboost:<tag> | 1 | 0.72 | inference | 
| 387376663083---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/xgboost:<tag> | 1 | 0.72 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 451049120500---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.govskope.us.cn/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Frankfurt) (eu-central-1)
Europe (Frankfurt)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-central-1)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-central-1)
+ [

## Chainer (DLC)
](#chainer-eu-central-1)
+ [

## Clarify (algorithm)
](#clarify-eu-central-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-central-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-central-1)
+ [

## Debugger (algorithm)
](#debugger-eu-central-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-central-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-central-1)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-central-1)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-central-1)
+ [

## Image classification (algorithm)
](#image-classification-eu-central-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-central-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-central-1)
+ [

## K-Means (algorithm)
](#kmeans-eu-central-1)
+ [

## KNN (algorithm)
](#knn-eu-central-1)
+ [

## LDA (algorithm)
](#lda-eu-central-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-central-1)
+ [

## MXNet (DLC)
](#mxnet-eu-central-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-central-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-central-1)
+ [

## NTM (algorithm)
](#ntm-eu-central-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-central-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-central-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-central-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-central-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-central-1)
+ [

## Object Detection (algorithm)
](#object-detection-eu-central-1)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-central-1)
+ [

## PCA (algorithm)
](#pca-eu-central-1)
+ [

## PyTorch (DLC)
](#pytorch-eu-central-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-eu-central-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-central-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-central-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-eu-central-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-central-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-central-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-central-1)
+ [

## Spark (algorithm)
](#spark-eu-central-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-central-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-central-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-central-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-central-1)
+ [

## VW (algorithm)
](#vw-eu-central-1)
+ [

## XGBoost (algorithm)
](#xgboost-eu-central-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-central-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-central-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-central-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 017069133835.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 482524230118.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 495149712605.dkr.ecr.eu-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-central-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 353608530281.dkr.ecr.eu-central-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-central-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 048819808253.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-central-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-central-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-central-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='eu-central-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-central-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-central-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-central-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-central-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-central-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='eu-central-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-central-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Ireland) (eu-west-1)
Europe (Ireland)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-west-1)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-west-1)
+ [

## Chainer (DLC)
](#chainer-eu-west-1)
+ [

## Clarify (algorithm)
](#clarify-eu-west-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-west-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-west-1)
+ [

## Debugger (algorithm)
](#debugger-eu-west-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-west-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-west-1)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-west-1)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-west-1)
+ [

## Image classification (algorithm)
](#image-classification-eu-west-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-west-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-west-1)
+ [

## K-Means (algorithm)
](#kmeans-eu-west-1)
+ [

## KNN (algorithm)
](#knn-eu-west-1)
+ [

## LDA (algorithm)
](#lda-eu-west-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-west-1)
+ [

## MXNet (DLC)
](#mxnet-eu-west-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-west-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-west-1)
+ [

## NTM (algorithm)
](#ntm-eu-west-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-west-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-west-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-west-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-west-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-west-1)
+ [

## Object Detection (algorithm)
](#object-detection-eu-west-1)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-west-1)
+ [

## PCA (algorithm)
](#pca-eu-west-1)
+ [

## PyTorch (DLC)
](#pytorch-eu-west-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-eu-west-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-west-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-west-1)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-eu-west-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-west-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-west-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-west-1)
+ [

## Spark (algorithm)
](#spark-eu-west-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-west-1)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-west-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-west-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-west-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-west-1)
+ [

## VW (algorithm)
](#vw-eu-west-1)
+ [

## XGBoost (algorithm)
](#xgboost-eu-west-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-west-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-west-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-west-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 131013547314.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 245179582081.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 245179582081.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 245179582081.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 929884845733.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 224300973850.dkr.ecr.eu-west-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-west-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-west-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 999678624901.dkr.ecr.eu-west-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-west-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 468650794304.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-west-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-west-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-west-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 438346466558.dkr.ecr.eu-west-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='eu-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-west-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-west-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 571004829621.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 571004829621.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 571004829621.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 571004829621.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 571004829621.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-west-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-west-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-west-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 802834080501.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='eu-west-1',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-west-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 685385470294.dkr.ecr.eu-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (London) (eu-west-2)
Europe (London)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-west-2)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-west-2)
+ [

## Chainer (DLC)
](#chainer-eu-west-2)
+ [

## Clarify (algorithm)
](#clarify-eu-west-2)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-west-2)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-west-2)
+ [

## Debugger (algorithm)
](#debugger-eu-west-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-west-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-west-2)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-west-2)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-west-2)
+ [

## Image classification (algorithm)
](#image-classification-eu-west-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-west-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-west-2)
+ [

## K-Means (algorithm)
](#kmeans-eu-west-2)
+ [

## KNN (algorithm)
](#knn-eu-west-2)
+ [

## LDA (algorithm)
](#lda-eu-west-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-west-2)
+ [

## MXNet (DLC)
](#mxnet-eu-west-2)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-west-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-west-2)
+ [

## NTM (algorithm)
](#ntm-eu-west-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-west-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-west-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-west-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-west-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-west-2)
+ [

## Object Detection (algorithm)
](#object-detection-eu-west-2)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-west-2)
+ [

## PCA (algorithm)
](#pca-eu-west-2)
+ [

## PyTorch (DLC)
](#pytorch-eu-west-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-west-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-west-2)
+ [

## Ray PyTorch (DLC)
](#ray-pytorch-eu-west-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-west-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-west-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-west-2)
+ [

## Spark (algorithm)
](#spark-eu-west-2)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-west-2)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-west-2)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-west-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-west-2)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-west-2)
+ [

## VW (algorithm)
](#vw-eu-west-2)
+ [

## XGBoost (algorithm)
](#xgboost-eu-west-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-west-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-west-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-west-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 440796970383.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 250201462417.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-west-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-west-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-west-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-west-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-west-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749857270468.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-west-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-west-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-west-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-west-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Ray PyTorch (DLC)
Ray PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='eu-west-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | training | CPU, GPU | py36 | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-west-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-west-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-west-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-west-2',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-west-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-west-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-west-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-west-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | training | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | training | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | training | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## VW (algorithm)
VW

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='eu-west-2',version='8.7.0',image_scope='training')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | training | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-west-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Milan) (eu-south-1)
Europe (Milan)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-south-1)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-south-1)
+ [

## Chainer (DLC)
](#chainer-eu-south-1)
+ [

## Clarify (algorithm)
](#clarify-eu-south-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-south-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-south-1)
+ [

## Debugger (algorithm)
](#debugger-eu-south-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-south-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-south-1)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-south-1)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-south-1)
+ [

## Image classification (algorithm)
](#image-classification-eu-south-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-south-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-south-1)
+ [

## K-Means (algorithm)
](#kmeans-eu-south-1)
+ [

## KNN (algorithm)
](#knn-eu-south-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-south-1)
+ [

## MXNet (DLC)
](#mxnet-eu-south-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-south-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-south-1)
+ [

## NTM (algorithm)
](#ntm-eu-south-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-south-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-south-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-south-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-south-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-south-1)
+ [

## Object Detection (algorithm)
](#object-detection-eu-south-1)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-south-1)
+ [

## PCA (algorithm)
](#pca-eu-south-1)
+ [

## PyTorch (DLC)
](#pytorch-eu-south-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-south-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-south-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-south-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-south-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-south-1)
+ [

## Spark (algorithm)
](#spark-eu-south-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-south-1)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-south-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-south-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-south-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-south-1)
+ [

## XGBoost (algorithm)
](#xgboost-eu-south-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-south-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-south-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-south-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 638885417683.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 488287956546.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 488287956546.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 488287956546.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 563282790590.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-south-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-south-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-south-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-south-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-south-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 933208885752.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-south-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-south-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-south-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-south-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-south-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-south-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 753923664805.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 753923664805.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 753923664805.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 753923664805.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 753923664805.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-south-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-south-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 692866216735.dkr.ecr.eu-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-south-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-south-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 966458181534.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-south-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 048378556238.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-south-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 257386234256.dkr.ecr.eu-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 978288397137.dkr.ecr.eu-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Paris) (eu-west-3)
Europe (Paris)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-west-3)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-west-3)
+ [

## Chainer (DLC)
](#chainer-eu-west-3)
+ [

## Clarify (algorithm)
](#clarify-eu-west-3)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-west-3)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-west-3)
+ [

## Debugger (algorithm)
](#debugger-eu-west-3)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-west-3)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-west-3)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-west-3)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-west-3)
+ [

## Image classification (algorithm)
](#image-classification-eu-west-3)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-west-3)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-west-3)
+ [

## K-Means (algorithm)
](#kmeans-eu-west-3)
+ [

## KNN (algorithm)
](#knn-eu-west-3)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-west-3)
+ [

## MXNet (DLC)
](#mxnet-eu-west-3)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-west-3)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-west-3)
+ [

## NTM (algorithm)
](#ntm-eu-west-3)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-west-3)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-west-3)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-west-3)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-west-3)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-west-3)
+ [

## Object Detection (algorithm)
](#object-detection-eu-west-3)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-west-3)
+ [

## PCA (algorithm)
](#pca-eu-west-3)
+ [

## PyTorch (DLC)
](#pytorch-eu-west-3)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-eu-west-3)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-west-3)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-west-3)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-west-3)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-west-3)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-west-3)
+ [

## Spark (algorithm)
](#spark-eu-west-3)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-west-3)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-west-3)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-west-3)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-west-3)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-west-3)
+ [

## XGBoost (algorithm)
](#xgboost-eu-west-3)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-west-3',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-west-3',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-west-3',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 341593696636.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 807237891255.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 807237891255.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 807237891255.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 447278800020.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-west-3',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-west-3',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-west-3',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-west-3',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-west-3',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680080141114.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-west-3',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-west-3',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-west-3',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-west-3',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-west-3',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-west-3')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-west-3',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 136845547031.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 136845547031.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 136845547031.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 136845547031.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 136845547031.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-west-3',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-west-3',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-west-3.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-west-3',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-west-3',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 254080097072.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-west-3',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-west-3',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 749696950732.dkr.ecr.eu-west-3.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 659782779980.dkr.ecr.eu-west-3.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Spain) (eu-south-2)
Europe (Spain)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-south-2)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-south-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-south-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-south-2)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-south-2)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-south-2)
+ [

## Image classification (algorithm)
](#image-classification-eu-south-2)
+ [

## K-Means (algorithm)
](#kmeans-eu-south-2)
+ [

## KNN (algorithm)
](#knn-eu-south-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-south-2)
+ [

## MXNet (DLC)
](#mxnet-eu-south-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-south-2)
+ [

## NTM (algorithm)
](#ntm-eu-south-2)
+ [

## Object Detection (algorithm)
](#object-detection-eu-south-2)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-south-2)
+ [

## PCA (algorithm)
](#pca-eu-south-2)
+ [

## PyTorch (DLC)
](#pytorch-eu-south-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-eu-south-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-south-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-south-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-south-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-south-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-south-2)
+ [

## Spark (algorithm)
](#spark-eu-south-2)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-south-2)
+ [

## XGBoost (algorithm)
](#xgboost-eu-south-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-south-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-south-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-south-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 437450045455.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-south-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-south-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-south-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-south-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-south-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-south-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Stockholm) (eu-north-1)
Europe (Stockholm)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-north-1)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-north-1)
+ [

## Chainer (DLC)
](#chainer-eu-north-1)
+ [

## Clarify (algorithm)
](#clarify-eu-north-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-eu-north-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-eu-north-1)
+ [

## Debugger (algorithm)
](#debugger-eu-north-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-north-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-north-1)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-north-1)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-north-1)
+ [

## Image classification (algorithm)
](#image-classification-eu-north-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-north-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-north-1)
+ [

## K-Means (algorithm)
](#kmeans-eu-north-1)
+ [

## KNN (algorithm)
](#knn-eu-north-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-north-1)
+ [

## MXNet (DLC)
](#mxnet-eu-north-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-eu-north-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-north-1)
+ [

## NTM (algorithm)
](#ntm-eu-north-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-north-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-north-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-north-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-north-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-north-1)
+ [

## Object Detection (algorithm)
](#object-detection-eu-north-1)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-north-1)
+ [

## PCA (algorithm)
](#pca-eu-north-1)
+ [

## PyTorch (DLC)
](#pytorch-eu-north-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-north-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-north-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-north-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-north-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-north-1)
+ [

## Spark (algorithm)
](#spark-eu-north-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-eu-north-1)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-north-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-eu-north-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-north-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-eu-north-1)
+ [

## XGBoost (algorithm)
](#xgboost-eu-north-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-north-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-north-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-north-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763603941244.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 054986407534.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 054986407534.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 054986407534.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 314864569078.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-north-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-north-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-north-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-north-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-north-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 895015795356.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-north-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-north-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-north-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-north-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-north-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-north-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-north-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 330188676905.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 330188676905.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 330188676905.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 330188676905.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 330188676905.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-north-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-north-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.eu-north-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='eu-north-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-north-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 601324751636.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='eu-north-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-north-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 669576153137.dkr.ecr.eu-north-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 662702820516.dkr.ecr.eu-north-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Europe (Zurich) (eu-central-2)
Europe (Zurich)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-eu-central-2)
+ [

## BlazingText (algorithm)
](#blazingtext-eu-central-2)
+ [

## Clarify (algorithm)
](#clarify-eu-central-2)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-eu-central-2)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-eu-central-2)
+ [

## Hugging Face (algorithm)
](#huggingface-eu-central-2)
+ [

## IP Insights (algorithm)
](#ipinsights-eu-central-2)
+ [

## Image classification (algorithm)
](#image-classification-eu-central-2)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-eu-central-2)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-eu-central-2)
+ [

## K-Means (algorithm)
](#kmeans-eu-central-2)
+ [

## KNN (algorithm)
](#knn-eu-central-2)
+ [

## Linear Learner (algorithm)
](#linear-learner-eu-central-2)
+ [

## MXNet (DLC)
](#mxnet-eu-central-2)
+ [

## Model Monitor (algorithm)
](#model-monitor-eu-central-2)
+ [

## NTM (algorithm)
](#ntm-eu-central-2)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-eu-central-2)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-eu-central-2)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-eu-central-2)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-eu-central-2)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-eu-central-2)
+ [

## Object Detection (algorithm)
](#object-detection-eu-central-2)
+ [

## Object2Vec (algorithm)
](#object2vec-eu-central-2)
+ [

## PCA (algorithm)
](#pca-eu-central-2)
+ [

## PyTorch (DLC)
](#pytorch-eu-central-2)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-eu-central-2)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-eu-central-2)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-eu-central-2)
+ [

## Scikit-learn (algorithm)
](#sklearn-eu-central-2)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-eu-central-2)
+ [

## Seq2Seq (algorithm)
](#seq2seq-eu-central-2)
+ [

## Spark (algorithm)
](#spark-eu-central-2)
+ [

## Tensorflow (DLC)
](#tensorflow-eu-central-2)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-eu-central-2)
+ [

## XGBoost (algorithm)
](#xgboost-eu-central-2)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-central-2',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-central-2',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 730335477804.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-central-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-central-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-central-2',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-central-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 590183933784.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-central-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-central-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-central-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='eu-central-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-central-2',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-central-2')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-central-2',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='eu-central-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='eu-central-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='eu-central-2',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Israel (Tel Aviv) (il-central-1)
Israel (Tel Aviv)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-il-central-1)
+ [

## BlazingText (algorithm)
](#blazingtext-il-central-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-il-central-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-il-central-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-il-central-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-il-central-1)
+ [

## Hugging Face (algorithm)
](#huggingface-il-central-1)
+ [

## IP Insights (algorithm)
](#ipinsights-il-central-1)
+ [

## Image classification (algorithm)
](#image-classification-il-central-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-il-central-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-il-central-1)
+ [

## K-Means (algorithm)
](#kmeans-il-central-1)
+ [

## KNN (algorithm)
](#knn-il-central-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-il-central-1)
+ [

## MXNet (DLC)
](#mxnet-il-central-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-il-central-1)
+ [

## NTM (algorithm)
](#ntm-il-central-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-il-central-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-il-central-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-il-central-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-il-central-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-il-central-1)
+ [

## Object Detection (algorithm)
](#object-detection-il-central-1)
+ [

## Object2Vec (algorithm)
](#object2vec-il-central-1)
+ [

## PCA (algorithm)
](#pca-il-central-1)
+ [

## PyTorch (DLC)
](#pytorch-il-central-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-il-central-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-il-central-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-il-central-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-il-central-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-il-central-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-il-central-1)
+ [

## Spark (algorithm)
](#spark-il-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-il-central-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-il-central-1)
+ [

## XGBoost (algorithm)
](#xgboost-il-central-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='il-central-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='il-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='il-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='il-central-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='il-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 843974653677.dkr.ecr.il-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='il-central-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='il-central-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='il-central-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='il-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='il-central-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='il-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='il-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='il-central-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='il-central-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Mexico (Central) (mx-central-1)
Mexico (Central)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## PyTorch (DLC)
](#pytorch-mx-central-1)
+ [

## Spark (algorithm)
](#spark-mx-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-mx-central-1)

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='mx-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='mx-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 211125459255.dkr.ecr.mx-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 211125459255.dkr.ecr.mx-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 211125459255.dkr.ecr.mx-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 211125459255.dkr.ecr.mx-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 211125459255.dkr.ecr.mx-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='mx-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 637423239942.dkr.ecr.mx-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

# Docker Registry Paths and Example Code for Middle East (Bahrain) (me-south-1)
Middle East (Bahrain)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-me-south-1)
+ [

## BlazingText (algorithm)
](#blazingtext-me-south-1)
+ [

## Chainer (DLC)
](#chainer-me-south-1)
+ [

## Clarify (algorithm)
](#clarify-me-south-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-me-south-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-me-south-1)
+ [

## Debugger (algorithm)
](#debugger-me-south-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-me-south-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-me-south-1)
+ [

## Hugging Face (algorithm)
](#huggingface-me-south-1)
+ [

## IP Insights (algorithm)
](#ipinsights-me-south-1)
+ [

## Image classification (algorithm)
](#image-classification-me-south-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-me-south-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-me-south-1)
+ [

## K-Means (algorithm)
](#kmeans-me-south-1)
+ [

## KNN (algorithm)
](#knn-me-south-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-me-south-1)
+ [

## MXNet (DLC)
](#mxnet-me-south-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-me-south-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-me-south-1)
+ [

## NTM (algorithm)
](#ntm-me-south-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-me-south-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-me-south-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-me-south-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-me-south-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-me-south-1)
+ [

## Object Detection (algorithm)
](#object-detection-me-south-1)
+ [

## Object2Vec (algorithm)
](#object2vec-me-south-1)
+ [

## PCA (algorithm)
](#pca-me-south-1)
+ [

## PyTorch (DLC)
](#pytorch-me-south-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-me-south-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-me-south-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-me-south-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-me-south-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-me-south-1)
+ [

## Spark (algorithm)
](#spark-me-south-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-me-south-1)
+ [

## Tensorflow (DLC)
](#tensorflow-me-south-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-me-south-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-me-south-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-me-south-1)
+ [

## XGBoost (algorithm)
](#xgboost-me-south-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='me-south-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='me-south-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='me-south-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 835444307964.dkr.ecr.me-south-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 376037874950.dkr.ecr.me-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 376037874950.dkr.ecr.me-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 376037874950.dkr.ecr.me-south-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 986000313247.dkr.ecr.me-south-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='me-south-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='me-south-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='me-south-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='me-south-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='me-south-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 607024016150.dkr.ecr.me-south-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='me-south-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='me-south-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='me-south-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='me-south-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='me-south-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='me-south-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='me-south-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 750251592176.dkr.ecr.me-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 750251592176.dkr.ecr.me-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 750251592176.dkr.ecr.me-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 750251592176.dkr.ecr.me-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 750251592176.dkr.ecr.me-south-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='me-south-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='me-south-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 217643126080.dkr.ecr.me-south-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='me-south-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='me-south-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 836785723513.dkr.ecr.me-south-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='me-south-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 724002660598.dkr.ecr.me-south-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='me-south-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 249704162688.dkr.ecr.me-south-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 801668240914.dkr.ecr.me-south-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for Middle East (UAE) (me-central-1)
Middle East (UAE)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-me-central-1)
+ [

## BlazingText (algorithm)
](#blazingtext-me-central-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-me-central-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-me-central-1)
+ [

## Hugging Face (algorithm)
](#huggingface-me-central-1)
+ [

## IP Insights (algorithm)
](#ipinsights-me-central-1)
+ [

## Image classification (algorithm)
](#image-classification-me-central-1)
+ [

## K-Means (algorithm)
](#kmeans-me-central-1)
+ [

## KNN (algorithm)
](#knn-me-central-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-me-central-1)
+ [

## MXNet (DLC)
](#mxnet-me-central-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-me-central-1)
+ [

## NTM (algorithm)
](#ntm-me-central-1)
+ [

## Object Detection (algorithm)
](#object-detection-me-central-1)
+ [

## Object2Vec (algorithm)
](#object2vec-me-central-1)
+ [

## PCA (algorithm)
](#pca-me-central-1)
+ [

## PyTorch (DLC)
](#pytorch-me-central-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-me-central-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-me-central-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-me-central-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-me-central-1)
+ [

## Spark (algorithm)
](#spark-me-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-me-central-1)
+ [

## XGBoost (algorithm)
](#xgboost-me-central-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='me-central-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='me-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='me-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 588750061953.dkr.ecr.me-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='me-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='me-central-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='me-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='me-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 395420993607.dkr.ecr.me-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 395420993607.dkr.ecr.me-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 395420993607.dkr.ecr.me-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 395420993607.dkr.ecr.me-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 395420993607.dkr.ecr.me-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='me-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='me-central-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for South America (São Paulo) (sa-east-1)
South America (São Paulo)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-sa-east-1)
+ [

## BlazingText (algorithm)
](#blazingtext-sa-east-1)
+ [

## Chainer (DLC)
](#chainer-sa-east-1)
+ [

## Clarify (algorithm)
](#clarify-sa-east-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-sa-east-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-sa-east-1)
+ [

## Debugger (algorithm)
](#debugger-sa-east-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-sa-east-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-sa-east-1)
+ [

## Hugging Face (algorithm)
](#huggingface-sa-east-1)
+ [

## IP Insights (algorithm)
](#ipinsights-sa-east-1)
+ [

## Image classification (algorithm)
](#image-classification-sa-east-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-sa-east-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-sa-east-1)
+ [

## K-Means (algorithm)
](#kmeans-sa-east-1)
+ [

## KNN (algorithm)
](#knn-sa-east-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-sa-east-1)
+ [

## MXNet (DLC)
](#mxnet-sa-east-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-sa-east-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-sa-east-1)
+ [

## NTM (algorithm)
](#ntm-sa-east-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-sa-east-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-sa-east-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-sa-east-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-sa-east-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-sa-east-1)
+ [

## Object Detection (algorithm)
](#object-detection-sa-east-1)
+ [

## Object2Vec (algorithm)
](#object2vec-sa-east-1)
+ [

## PCA (algorithm)
](#pca-sa-east-1)
+ [

## PyTorch (DLC)
](#pytorch-sa-east-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-sa-east-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-sa-east-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-sa-east-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-sa-east-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-sa-east-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-sa-east-1)
+ [

## Spark (algorithm)
](#spark-sa-east-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-sa-east-1)
+ [

## Tensorflow (DLC)
](#tensorflow-sa-east-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-sa-east-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-sa-east-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-sa-east-1)
+ [

## XGBoost (algorithm)
](#xgboost-sa-east-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='sa-east-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='sa-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='sa-east-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 520018980103.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 424196993095.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 
| 424196993095.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | processing | 
| 424196993095.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | processing | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 818342061345.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='sa-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='sa-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='sa-east-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='sa-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='sa-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 539772159869.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='sa-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='sa-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='sa-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='sa-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='sa-east-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='sa-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='sa-east-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 737130764395.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 737130764395.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 737130764395.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 737130764395.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 737130764395.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='sa-east-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='sa-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.sa-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='sa-east-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='sa-east-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 756306329178.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='sa-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='sa-east-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 855470959533.dkr.ecr.sa-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for AWS GovCloud (US-East) (us-gov-east-1)
AWS GovCloud (US-East)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-gov-east-1)
+ [

## BlazingText (algorithm)
](#blazingtext-us-gov-east-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-gov-east-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-gov-east-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-gov-east-1)
+ [

## Hugging Face (algorithm)
](#huggingface-us-gov-east-1)
+ [

## IP Insights (algorithm)
](#ipinsights-us-gov-east-1)
+ [

## Image classification (algorithm)
](#image-classification-us-gov-east-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-gov-east-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-gov-east-1)
+ [

## K-Means (algorithm)
](#kmeans-us-gov-east-1)
+ [

## KNN (algorithm)
](#knn-us-gov-east-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-gov-east-1)
+ [

## MXNet (DLC)
](#mxnet-us-gov-east-1)
+ [

## NTM (algorithm)
](#ntm-us-gov-east-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-gov-east-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-gov-east-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-gov-east-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-gov-east-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-gov-east-1)
+ [

## Object Detection (algorithm)
](#object-detection-us-gov-east-1)
+ [

## Object2Vec (algorithm)
](#object2vec-us-gov-east-1)
+ [

## PCA (algorithm)
](#pca-us-gov-east-1)
+ [

## PyTorch (DLC)
](#pytorch-us-gov-east-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-gov-east-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-gov-east-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-gov-east-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-gov-east-1)
+ [

## Spark (algorithm)
](#spark-us-gov-east-1)
+ [

## Tensorflow (DLC)
](#tensorflow-us-gov-east-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-gov-east-1)
+ [

## XGBoost (algorithm)
](#xgboost-us-gov-east-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-gov-east-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-gov-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-gov-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-gov-east-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-gov-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-gov-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-gov-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-gov-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-gov-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-gov-east-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-gov-east-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-gov-east-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 260923028637.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 260923028637.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 260923028637.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 260923028637.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 260923028637.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-gov-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-gov-east-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 227234621604.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-gov-east-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training | 

# Docker Registry Paths and Example Code for AWS GovCloud (US-West) (us-gov-west-1)
AWS GovCloud (US-West)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-us-gov-west-1)
+ [

## BlazingText (algorithm)
](#blazingtext-us-gov-west-1)
+ [

## Chainer (DLC)
](#chainer-us-gov-west-1)
+ [

## Clarify (algorithm)
](#clarify-us-gov-west-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-us-gov-west-1)
+ [

## Debugger (algorithm)
](#debugger-us-gov-west-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-us-gov-west-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-us-gov-west-1)
+ [

## Hugging Face (algorithm)
](#huggingface-us-gov-west-1)
+ [

## IP Insights (algorithm)
](#ipinsights-us-gov-west-1)
+ [

## Image classification (algorithm)
](#image-classification-us-gov-west-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-us-gov-west-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-us-gov-west-1)
+ [

## K-Means (algorithm)
](#kmeans-us-gov-west-1)
+ [

## KNN (algorithm)
](#knn-us-gov-west-1)
+ [

## LDA (algorithm)
](#lda-us-gov-west-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-us-gov-west-1)
+ [

## MXNet (DLC)
](#mxnet-us-gov-west-1)
+ [

## MXNet Coach (DLC)
](#coach-mxnet-us-gov-west-1)
+ [

## NTM (algorithm)
](#ntm-us-gov-west-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-us-gov-west-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-us-gov-west-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-us-gov-west-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-us-gov-west-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-us-gov-west-1)
+ [

## Object Detection (algorithm)
](#object-detection-us-gov-west-1)
+ [

## Object2Vec (algorithm)
](#object2vec-us-gov-west-1)
+ [

## PCA (algorithm)
](#pca-us-gov-west-1)
+ [

## PyTorch (DLC)
](#pytorch-us-gov-west-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-us-gov-west-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-us-gov-west-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-us-gov-west-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-us-gov-west-1)
+ [

## Spark (algorithm)
](#spark-us-gov-west-1)
+ [

## SparkML Serving (algorithm)
](#sparkml-serving-us-gov-west-1)
+ [

## Tensorflow (DLC)
](#tensorflow-us-gov-west-1)
+ [

## Tensorflow Coach (DLC)
](#coach-tensorflow-us-gov-west-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-us-gov-west-1)
+ [

## Tensorflow Ray (DLC)
](#ray-tensorflow-us-gov-west-1)
+ [

## XGBoost (algorithm)
](#xgboost-us-gov-west-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-gov-west-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## Chainer (DLC)
Chainer

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-gov-west-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | inference, training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | inference, training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | inference, training | CPU, GPU | py2, py3 | 

## Clarify (algorithm)
Clarify

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-gov-west-1',version='1.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 598674086554.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | processing | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Debugger (algorithm)
Debugger

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 515509971035.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-debugger-rules:<tag> | latest | debugger | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-gov-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-gov-west-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-gov-west-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## LDA (algorithm)
LDA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/lda:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-gov-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.1 | training | CPU, GPU | py2 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.4.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> | 1.4.0 | eia | CPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-eia:<tag> | 1.3.0 | eia | CPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | inference | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
MXNet Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-gov-west-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-gov-west-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-gov-west-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-gov-west-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-gov-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | inference | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | training | CPU, GPU | py2, py3 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-gov-west-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-gov-west-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-gov-west-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## SparkML Serving (algorithm)
SparkML Serving

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-gov-west-1',version='2.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | inference | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-gov-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | training | CPU, GPU | py2 | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.13.0 | eia | CPU | - | 
| 442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.12.0 | eia | CPU | - | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.12.0 | inference | CPU, GPU | - | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> | 1.11.0 | eia | CPU | - | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> | 1.11.0 | inference | CPU, GPU | - | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | training | CPU, GPU | py2, py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> | 1.10.0 | eia | CPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | training | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | inference | CPU, GPU | py2 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | training | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
Tensorflow Coach

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-gov-west-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | training | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-gov-west-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## Tensorflow Ray (DLC)
Tensorflow Ray

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-gov-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | training | CPU, GPU | py3 | 
| 246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | training | CPU, GPU | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-gov-west-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inference | 
| 226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training |