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# Caminhos do Registro do Docker e código de exemplo para Ásia-Pacífico (Hyderabad) (ap-south-2)
<a name="ecr-ap-south-2"></a>

Os tópicos a seguir listam parâmetros para cada um dos algoritmos e contêineres de deep learning que são fornecidos pelo Amazon SageMaker AI nessa Região da AWS.

**Topics**
+ [AutoGluon (algoritmo)](#autogluon-ap-south-2)
+ [BlazingText (algoritmo)](#blazingtext-ap-south-2)
+ [Previsão DeepAR (algoritmo)](#forecasting-deepar-ap-south-2)
+ [Máquinas de fatoração (algoritmo)](#factorization-machines-ap-south-2)
+ [Hugging Face (algoritmo)](#huggingface-ap-south-2)
+ [IP Insights (algoritmo)](#ipinsights-ap-south-2)
+ [Classificação de imagens (algoritmo)](#image-classification-ap-south-2)
+ [K-Means (algoritmo)](#kmeans-ap-south-2)
+ [KNN (algoritmo)](#knn-ap-south-2)
+ [Linear Learner (algoritmo)](#linear-learner-ap-south-2)
+ [MXNet (DLC)](#mxnet-ap-south-2)
+ [NTM (algoritmo)](#ntm-ap-south-2)
+ [Detecção de objetos (algoritmo)](#object-detection-ap-south-2)
+ [Object2Vec (algoritmo)](#object2vec-ap-south-2)
+ [PCA (algoritmo)](#pca-ap-south-2)
+ [PyTorch (DLC)](#pytorch-ap-south-2)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-ap-south-2)
+ [Compilador de treinamento PyTorch (DLC)](#pytorch-training-compiler-ap-south-2)
+ [Random Cut Forest (algoritmo)](#randomcutforest-ap-south-2)
+ [Scikit-learn (algoritmo)](#sklearn-ap-south-2)
+ [Segmentação semântica (algoritmo)](#semantic-segmentation-ap-south-2)
+ [Seq2Seq (algoritmo)](#seq2seq-ap-south-2)
+ [Spark (algoritmo)](#spark-ap-south-2)
+ [Tensorflow (DLC)](#tensorflow-ap-south-2)
+ [XGBoost (algoritmo)](#xgboost-ap-south-2)

## AutoGluon (algoritmo)
<a name="autogluon-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inferência | 

## BlazingText (algoritmo)
<a name="blazingtext-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/blazingtext:<tag> | 1 | inferência, treinamento | 

## Previsão DeepAR (algoritmo)
<a name="forecasting-deepar-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inferência, treinamento | 

## Máquinas de fatoração (algoritmo)
<a name="factorization-machines-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/factorization-machines:<tag> | 1 | inferência, treinamento | 

## Hugging Face (algoritmo)
<a name="huggingface-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

```
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')
```


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inferência | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | treinamento | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | treinamento | 

## IP Insights (algoritmo)
<a name="ipinsights-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ipinsights:<tag> | 1 | inferência, treinamento | 

## Classificação de imagens (algoritmo)
<a name="image-classification-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/image-classification:<tag> | 1 | inferência, treinamento | 

## K-Means (algoritmo)
<a name="kmeans-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/kmeans:<tag> | 1 | inferência, treinamento | 

## KNN (algoritmo)
<a name="knn-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/knn:<tag> | 1 | inferência, treinamento | 

## Linear Learner (algoritmo)
<a name="linear-learner-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/linear-learner:<tag> | 1 | inferência, treinamento | 

## MXNet (DLC)
<a name="mxnet-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

```
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')
```


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | Tipos de processador | Versões do Python | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inferência | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | treinamento | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inferência | 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 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inferência | 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 | treinamento | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inferência | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## NTM (algoritmo)
<a name="ntm-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ntm:<tag> | 1 | inferência, treinamento | 

## Detecção de objetos (algoritmo)
<a name="object-detection-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object-detection:<tag> | 1 | inferência, treinamento | 

## Object2Vec (algoritmo)
<a name="object2vec-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object2vec:<tag> | 1 | inferência, treinamento | 

## PCA (algoritmo)
<a name="pca-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/pca:<tag> | 1 | inferência, treinamento | 

## PyTorch (DLC)
<a name="pytorch-ap-south-2"></a>

Para ter informações sobre as versões compatíveis e não compatíveis do PyTorch, consulte [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) no *Guia do desenvolvedor de contêineres de deep learning da AWS*.

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

```
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')
```


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | Tipos de processador | Versões do Python | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | treinamento | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inferência | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | treinamento | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inferência | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | treinamento | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inferência | 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 | treinamento | CPU, GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inferência | 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 | treinamento | 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 | inferência | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inferência | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | treinamento | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inferência | 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 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inferência | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | treinamento | 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 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inferência | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | treinamento | 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 | inferência | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inferência | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | treinamento | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
<a name="pytorch-neuron-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | Tipos de processador | Versões do Python | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | treinamento | TRN | py38 | 

## Compilador de treinamento PyTorch (DLC)
<a name="pytorch-training-compiler-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | Tipos de processador | Versões do Python | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | treinamento | GPU | py38 | 

## Random Cut Forest (algoritmo)
<a name="randomcutforest-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/randomcutforest:<tag> | 1 | inferência, treinamento | 

## Scikit-learn (algoritmo)
<a name="sklearn-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Versão do pacote | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | treinamento | 
| 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 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | treinamento | 

## Segmentação semântica (algoritmo)
<a name="semantic-segmentation-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inferência, treinamento | 

## Seq2Seq (algoritmo)
<a name="seq2seq-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/seq2seq:<tag> | 1 | inferência, treinamento | 

## Spark (algoritmo)
<a name="spark-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processamento | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processamento | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processamento | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processamento | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processamento | 

## Tensorflow (DLC)
<a name="tensorflow-ap-south-2"></a>

Para ter informações sobre as versões compatíveis e não compatíveis do TensorFlow, consulte [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) no *Guia do desenvolvedor de contêineres de deep learning da AWS*.

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

```
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')
```


| Caminho de registro | Versão | Tipos de trabalho (escopo da imagem) | Tipos de processador | Versões do Python | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | treinamento | CPU, GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inferência | 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 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inferência | 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 | treinamento | CPU, GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | treinamento | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | treinamento | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | treinamento | 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 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | treinamento | CPU, GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | treinamento | CPU, GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | treinamento | 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 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | treinamento | CPU, GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | treinamento | CPU, GPU | py3, py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | treinamento | 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 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | treinamento | CPU, GPU | py3, py36, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | treinamento | CPU, GPU | py3, py36, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | treinamento | CPU, GPU | py2, py3, py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | treinamento | 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 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | treinamento | 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 | inferência | CPU, GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | treinamento | CPU, GPU | py2, py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | treinamento | CPU, GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inferência | CPU, GPU | - | 

## XGBoost (algoritmo)
<a name="xgboost-ap-south-2"></a>

O exemplo a seguir do SageMaker AI Python SDK mostra como recuperar um caminho de registro específico.

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


| Caminho de registro | Versão | Versão do pacote | Tipos de trabalho (escopo da imagem) | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | treinamento | 
| 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 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | treinamento | 
| 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 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<tag> | 1 | 0.72 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | treinamento | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inferência | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | treinamento |