

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# 歐洲 (法蘭克福) 的 Docker 登錄檔路徑和範例程式碼 (eu-central-1)
<a name="ecr-eu-central-1"></a>

下列主題列出 Amazon SageMaker AI 在 AWS 區域 提供的每種演算法和深度學習容器的參數。

**Topics**
+ [AutoGluon (演算法)](#autogluon-eu-central-1)
+ [BlazingText (演算法)](#blazingtext-eu-central-1)
+ [Chainer (DLC)](#chainer-eu-central-1)
+ [Clarify (演算法)](#clarify-eu-central-1)
+ [DJL DeepSpeed (演算法)](#djl-deepspeed-eu-central-1)
+ [Data Wrangler (演算法)](#data-wrangler-eu-central-1)
+ [Debugger (演算法)](#debugger-eu-central-1)
+ [DeepAR Forecasting (演算法)](#forecasting-deepar-eu-central-1)
+ [因式分解機 (演算法)](#factorization-machines-eu-central-1)
+ [Hugging Face (演算法)](#huggingface-eu-central-1)
+ [IP Insights (演算法)](#ipinsights-eu-central-1)
+ [影像分類 (演算法)](#image-classification-eu-central-1)
+ [Inferentia MXNet (DLC)](#inferentia-mxnet-eu-central-1)
+ [Inferentia PyTorch (DLC)](#inferentia-pytorch-eu-central-1)
+ [K-Means (演算法)](#kmeans-eu-central-1)
+ [KNN (演算法)](#knn-eu-central-1)
+ [LDA (演算法)](#lda-eu-central-1)
+ [Linear Learner (演算法)](#linear-learner-eu-central-1)
+ [MXNet (DLC)](#mxnet-eu-central-1)
+ [MXNet Coach (DLC)](#coach-mxnet-eu-central-1)
+ [Model Monitor (演算法)](#model-monitor-eu-central-1)
+ [NTM (演算法)](#ntm-eu-central-1)
+ [Neo Image Classification (演算法)](#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 (演算法)](#xgboost-neo-eu-central-1)
+ [Object Detection (演算法)](#object-detection-eu-central-1)
+ [Object2Vec (演算法)](#object2vec-eu-central-1)
+ [PCA (演算法)](#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 (演算法)](#randomcutforest-eu-central-1)
+ [Ray PyTorch (DLC)](#ray-pytorch-eu-central-1)
+ [Scikit-learn (演算法)](#sklearn-eu-central-1)
+ [Semantic Segmentation (演算法)](#semantic-segmentation-eu-central-1)
+ [Seq2Seq (演算法)](#seq2seq-eu-central-1)
+ [Spark (演算法)](#spark-eu-central-1)
+ [SparkML Serving (演算法)](#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 (演算法)](#vw-eu-central-1)
+ [XGBoost (演算法)](#xgboost-eu-central-1)

## AutoGluon (演算法)
<a name="autogluon-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | 推論 | 

## BlazingText (演算法)
<a name="blazingtext-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/blazingtext:<tag> | 1 | 推論、訓練 | 

## Chainer (DLC)
<a name="chainer-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 5.0.0 | 推論、訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.1.0 | 推論、訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-chainer:<tag> | 4.0.0 | 推論、訓練 | CPU、GPU | py2, py3 | 

## Clarify (演算法)
<a name="clarify-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 017069133835.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-clarify-processing:<tag> | 1.0 | 處理 | 

## DJL DeepSpeed (演算法)
<a name="djl-deepspeed-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference：0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference：0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | 推論 | 

## Data Wrangler (演算法)
<a name="data-wrangler-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | 處理 | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 2.x | 處理 | 
| 024640144536.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 1.x | 處理 | 

## Debugger (演算法)
<a name="debugger-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 482524230118.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-debugger-rules:<tag> | 最新 | debugger | 

## DeepAR Forecasting (演算法)
<a name="forecasting-deepar-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 495149712605.dkr.ecr.eu-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | 推論、訓練 | 

## 因式分解機 (演算法)
<a name="factorization-machines-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/factorization-machines:<tag> | 1 | 推論、訓練 | 

## Hugging Face (演算法)
<a name="huggingface-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | 推論 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | 訓練 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | 訓練 | 

## IP Insights (演算法)
<a name="ipinsights-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/ipinsights:<tag> | 1 | 推論、訓練 | 

## 影像分類 (演算法)
<a name="image-classification-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/image-classification:<tag> | 1 | 推論、訓練 | 

## Inferentia MXNet (DLC)
<a name="inferentia-mxnet-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | 推論 | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | 推論 | inf | py3 | 

## Inferentia PyTorch (DLC)
<a name="inferentia-pytorch-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | 推論 | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | 推論 | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | 推論 | inf | py3 | 

## K-Means (演算法)
<a name="kmeans-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/kmeans:<tag> | 1 | 推論、訓練 | 

## KNN (演算法)
<a name="knn-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/knn:<tag> | 1 | 推論、訓練 | 

## LDA (演算法)
<a name="lda-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 353608530281.dkr.ecr.eu-central-1.amazonaws.com/lda:<tag> | 1 | 推論、訓練 | 

## Linear Learner (演算法)
<a name="linear-learner-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/linear-learner:<tag> | 1 | 推論、訓練 | 

## MXNet (DLC)
<a name="mxnet-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | 推論 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | 訓練 | CPU、GPU | py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | 推論 | 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 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | 推論 | 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 | 訓練 | CPU、GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.1 | 推論 | CPU、GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | 推論 | 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 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet-serving:<tag> | 1.4.0 | 推論 | 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 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.3.0 | 推論 | 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 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.2.1 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.1.0 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 1.0.0 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-mxnet:<tag> | 0.12.1 | 推論 | CPU、GPU | py2, py3 | 

## MXNet Coach (DLC)
<a name="coach-mxnet-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> | 0.11.0 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> | 0.11 | 訓練 | CPU、GPU | py3 | 

## Model Monitor (演算法)
<a name="model-monitor-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 048819808253.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | 監控 | 

## NTM (演算法)
<a name="ntm-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/ntm:<tag> | 1 | 推論、訓練 | 

## Neo Image Classification (演算法)
<a name="image-classification-neo-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/image-classification-neo:<tag> | 最新 | 推論 | 

## Neo MXNet (DLC)
<a name="neo-mxnet-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | 推論 | CPU、GPU | py3 | 

## Neo PyTorch (DLC)
<a name="neo-pytorch-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | 推論 | CPU、GPU | py3 | 

## Neo Tensorflow (DLC)
<a name="neo-tensorflow-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | 推論 | CPU、GPU | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | 推論 | CPU、GPU | py3 | 

## Neo XGBoost (演算法)
<a name="xgboost-neo-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/xgboost-neo:<tag> | 最新 | 推論 | 

## Object Detection (演算法)
<a name="object-detection-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/object-detection:<tag> | 1 | 推論、訓練 | 

## Object2Vec (演算法)
<a name="object2vec-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/object2vec:<tag> | 1 | 推論、訓練 | 

## PCA (演算法)
<a name="pca-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/pca:<tag> | 1 | 推論、訓練 | 

## PyTorch (DLC)
<a name="pytorch-eu-central-1"></a>

如需進一步瞭解支援和不支援的 PyTorch 版本，請參閱《AWS 深度學習容器開發人員指南》**中的[架構支援政策表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | 訓練 | CPU、GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | 推論 | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | 訓練 | CPU、GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | 推論 | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | 訓練 | CPU、GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | 推論 | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | 推論\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | 訓練 | CPU、GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | 推論 | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | 推論\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | 訓練 | CPU、GPU | py311 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | 推論 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | 推論 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | 推論 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | 推論 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | 推論 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | 訓練 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | 推論\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | 推論 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | 推論 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | 訓練 | 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 | 推論 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | 推論 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.1.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 1.0.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | 推論 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-pytorch:<tag> | 0.4.0 | 訓練 | CPU、GPU | py2, py3 | 

## PyTorch Neuron (DLC)
<a name="pytorch-neuron-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | 訓練 | TRN | py38 | 

## PyTorch Training Compiler (DLC)
<a name="pytorch-training-compiler-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | 訓練 | GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | 訓練 | GPU | py38 | 

## Random Cut Forest (演算法)
<a name="randomcutforest-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 664544806723.dkr.ecr.eu-central-1.amazonaws.com/randomcutforest:<tag> | 1 | 推論、訓練 | 

## Ray PyTorch (DLC)
<a name="ray-pytorch-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> | 1.6.0 | 訓練 | CPU、GPU | py36 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> | 0.8.5 | 訓練 | CPU、GPU | py36 | 

## Scikit-learn (演算法)
<a name="sklearn-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | 推論\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | 訓練 | 

## Semantic Segmentation (演算法)
<a name="semantic-segmentation-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | 推論、訓練 | 

## Seq2Seq (演算法)
<a name="seq2seq-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/seq2seq:<tag> | 1 | 推論、訓練 | 

## Spark (演算法)
<a name="spark-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | 處理 | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | 處理 | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | 處理 | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | 處理 | 
| 906073651304.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | 處理 | 

## SparkML Serving (演算法)
<a name="sparkml-serving-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 3.3 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.4 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-sparkml-serving:<tag> | 2.2 | 推論 | 

## Tensorflow (DLC)
<a name="tensorflow-eu-central-1"></a>

如需進一步瞭解支援和不支援的 TensorFlow 版本，請參閱《AWS 深度學習容器開發人員指南》**中的[架構支援政策表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | 訓練 | CPU、GPU | py312 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | 推論\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | 訓練 | CPU、GPU | py310 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | 訓練 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | 訓練 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | 訓練 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | 推論\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | 訓練 | CPU、GPU | py39 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | 訓練 | CPU、GPU | py38 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | 訓練 | 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 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | 訓練 | CPU、GPU | py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | 訓練 | CPU、GPU | py3, py36 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | 訓練 | 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 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | 訓練 | CPU、GPU | py2, py3 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | 訓練 | CPU、GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | 訓練 | CPU、GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | 訓練 | CPU、GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | 訓練 | 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 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | 訓練 | 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 | 推論 | CPU、GPU | - | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | 訓練 | CPU、GPU | py2, py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.13.1 | 訓練 | CPU、GPU | py2 | 
| 763104351884.dkr.ecr.eu-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | 訓練 | 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 | 推論 | 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 | 推論 | CPU、GPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.12.0 | 訓練 | 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 | 推論 | CPU、GPU | - | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> | 1.11.0 | 訓練 | 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 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.10.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.9.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.8.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.7.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.6.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.5.0 | 訓練 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | 推論 | CPU、GPU | py2 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-tensorflow:<tag> | 1.4.1 | 訓練 | CPU、GPU | py2 | 

## Tensorflow Coach (DLC)
<a name="coach-tensorflow-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

```
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')
```


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> | 1.0.0 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> | 0.11.1 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> | 0.11.0 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> | 0.11 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> | 0.10.1 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> | 0.10 | 訓練 | CPU、GPU | py3 | 

## Tensorflow Inferentia (DLC)
<a name="inferentia-tensorflow-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | 推論 | inf | py3 | 
| 746233611703.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | 推論 | inf | py3 | 

## Tensorflow Ray (DLC)
<a name="ray-tensorflow-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> | 1.6.0 | 訓練 | CPU、GPU | py37 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> | 0.8.5 | 訓練 | CPU、GPU | py36 | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> | 0.8.2 | 訓練 | CPU、GPU | py36 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> | 0.6.5 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> | 0.6 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> | 0.5.3 | 訓練 | CPU、GPU | py3 | 
| 520713654638.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> | 0.5 | 訓練 | CPU、GPU | py3 | 

## VW (演算法)
<a name="vw-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> | 8.7.0 | 訓練 | 

## XGBoost (演算法)
<a name="xgboost-eu-central-1"></a>

下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。

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


| 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) | 
| --- | --- | --- | --- | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | 推論\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | 推論\$1graviton | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | 訓練 | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | 推論 | 
| 813361260812.dkr.ecr.eu-central-1.amazonaws.com/xgboost:<tag> | 1 | 0.72 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 版 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 版 | 訓練 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 版 | 推論 | 
| 492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 版 | 訓練 | 