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# 亚太地区（海得拉巴）(ap-south-2) 的 Docker 注册表路径和示例代码
<a name="ecr-ap-south-2"></a>

以下主题列出了 Amazon SageMaker AI 在此 AWS 区域中提供的每种算法和深度学习容器的参数。

**Topics**
+ [AutoGluon（算法）](#autogluon-ap-south-2)
+ [BlazingText（算法）](#blazingtext-ap-south-2)
+ [DeepAR 预测（算法）](#forecasting-deepar-ap-south-2)
+ [因子分解机（算法）](#factorization-machines-ap-south-2)
+ [Hugging Face（算法）](#huggingface-ap-south-2)
+ [IP 洞察（算法）](#ipinsights-ap-south-2)
+ [图像分类（算法）](#image-classification-ap-south-2)
+ [K-Means（算法）](#kmeans-ap-south-2)
+ [KNN（算法）](#knn-ap-south-2)
+ [线性学习器（算法）](#linear-learner-ap-south-2)
+ [MXNet (DLC)](#mxnet-ap-south-2)
+ [NTM（算法）](#ntm-ap-south-2)
+ [对象检测（算法）](#object-detection-ap-south-2)
+ [Object2Vec（算法）](#object2vec-ap-south-2)
+ [PCA（算法）](#pca-ap-south-2)
+ [PyTorch (DLC)](#pytorch-ap-south-2)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-ap-south-2)
+ [PyTorch Training Compiler (DLC)](#pytorch-training-compiler-ap-south-2)
+ [Random Cut Forest（算法）](#randomcutforest-ap-south-2)
+ [Scikit-learn（算法）](#sklearn-ap-south-2)
+ [语义分割（算法）](#semantic-segmentation-ap-south-2)
+ [Seq2Seq（算法）](#seq2seq-ap-south-2)
+ [Spark（算法）](#spark-ap-south-2)
+ [Tensorflow (DLC)](#tensorflow-ap-south-2)
+ [XGBoost（算法）](#xgboost-ap-south-2)

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.5.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.5.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.4.3 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.4.3 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.4.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.4.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.4.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.4.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.3.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.3.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-training:<标签> | 0.3.1 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/autogluon-inference:<标签> | 0.3.1 | 推理 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/blazingtext:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/forecasting-deepar:<标签> | 1 | 推理、训练 | 

## 因子分解机（算法）
<a name="factorization-machines-ap-south-2"></a>

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/factorization-machines:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

```
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')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.49.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.48.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.37.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.28.1 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.26.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.26.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.17.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.17.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.17.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.17.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.12.3 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.12.3 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.12.3 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.12.3 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.11.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.11.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.11.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.11.0 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.10.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.10.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.10.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.10.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.10.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.10.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.10.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.10.2 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.6.1 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.6.1 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.6.1 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.6.1 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-inference:<标签> | 4.6.1 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-inference:<标签> | 4.6.1 | 推理 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.5.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.5.0 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-pytorch-training:<标签> | 4.4.2 | 训练 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/huggingface-tensorflow-training:<标签> | 4.4.2 | 训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ipinsights:<标签> | 1 | 推理、训练 | 

## 图像分类（算法）
<a name="image-classification-ap-south-2"></a>

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/image-classification:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/kmeans:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/knn:<标签> | 1 | 推理、训练 | 

## 线性学习器（算法）
<a name="linear-learner-ap-south-2"></a>

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/linear-learner:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

```
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')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<标签> | 1.9.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<标签> | 1.9.0 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<标签> | 1.8.0 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<标签> | 1.8.0 | 推理 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<标签> | 1.7.0 | 训练 | CPU，GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<标签> | 1.7.0 | 推理 | CPU，GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<标签> | 1.7.0 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<标签> | 1.6.0 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<标签> | 1.6.0 | 推理 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<标签> | 1.5.1 | eia | CPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-training:<标签> | 1.4.1 | 训练 | CPU，GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference:<标签> | 1.4.1 | 推理 | CPU，GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/mxnet-inference-eia:<标签> | 1.4.1 | eia | CPU | py2、py3 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/ntm:<标签> | 1 | 推理、训练 | 

## 对象检测（算法）
<a name="object-detection-ap-south-2"></a>

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object-detection:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/object2vec:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/pca:<标签> | 1 | 推理、训练 | 

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

有关支持和不支持的 PyTorch 版本的信息，请参阅《AWS Deep Learning Containers 开发人员指南》**中的[框架支持策略表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

```
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')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.7.1 | 训练 | CPU，GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.6.0 | 推理 | CPU，GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.6.0 | 训练 | CPU，GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.5.1 | 推理 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.5.1 | 训练 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.4.0 | 推理 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.4.0 | 训练 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.3.0 | 推理 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.3.0 | 训练 | CPU，GPU | py311 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.2.0 | 推理 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.2.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.1.0 | 推理 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.1.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.0.1 | 推理 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.0.1 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 2.0.0 | 推理 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 2.0.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.13.1 | 推理 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.13.1 | 训练 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.12.1 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-graviton:<标签> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.12.1 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.12.0 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.12.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.11.0 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.11.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.10.2 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.10.2 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.10.0 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.10.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.9.1 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.9.1 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.9.0 | 推理 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.9.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.8.1 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.8.1 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.8.0 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.8.0 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.7.1 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.7.1 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.6.0 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.6.0 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-eia:<标签> | 1.5.1 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.5.0 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.5.0 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.4.0 | 推理 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.4.0 | 训练 | CPU，GPU | py2、py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference-eia:<标签> | 1.3.1 | eia | CPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.3.1 | 推理 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.3.1 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-inference:<标签> | 1.2.0 | 推理 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training:<标签> | 1.2.0 | 训练 | CPU，GPU | py2、py3 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-training-neuron:<标签> | 1.11.0 | 训练 | TRN | py38 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/pytorch-trcomp-training:<标签> | 1.12.0 | 训练 | GPU | py38 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/randomcutforest:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 程序包版本 | 作业类型（映像范围） | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 1.2-1 | 1.2.1 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 1.2-1 | 1.2.1 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 1.0-1 | 1.0.2 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 1.0-1 | 1.0.2 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 0.23-1 | 0.23.2 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 0.23-1 | 0.23.2 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 0.20.0 | 0.20.0 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-scikit-learn:<标签> | 0.20.0 | 0.20.0 | 训练 | 

## 语义分割（算法）
<a name="semantic-segmentation-ap-south-2"></a>

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/semantic-segmentation:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/seq2seq:<标签> | 1 | 推理、训练 | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<标签> | 3.3 | 处理 | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<标签> | 3.2 | 处理 | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<标签> | 3.1 | 处理 | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<标签> | 3.0 | 处理 | 
| 873151114052.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-spark-processing:<标签> | 2.4 | 处理 | 

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

有关支持和不支持的 TensorFlow 版本的信息，请参阅《AWS Deep Learning Containers 开发人员指南》**中的[框架支持策略表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

```
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')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.19.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.19.0 | 训练 | CPU，GPU | py312 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.18.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.18.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.16.2 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.16.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<标签> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.14.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<标签> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.14.1 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.13.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<标签> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.13.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.12.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<标签> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.12.0 | 训练 | CPU，GPU | py310 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.11.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.11.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.11.0 | 训练 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.10.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.10.1 | 训练 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.10.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.9.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.9.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.9.2 | 训练 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-graviton:<标签> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.8.4 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.8.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.8.0 | 训练 | CPU，GPU | py39 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.7.1 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.7.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.6.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.6.3 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.6.2 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.6.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.6.0 | 训练 | CPU，GPU | py38 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.5.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.5.1 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.5.0 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.4.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.4.3 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.4.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.4.1 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.3.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.3.2 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.3.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.3.1 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<标签> | 2.3.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.3.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.3.0 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.2.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.2.2 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.2.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.2.1 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.2.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.2.0 | 训练 | CPU，GPU | py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.1.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.1.3 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.1.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.1.2 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.1.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.1.1 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.1.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.1.0 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.0.4 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.0.4 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.0.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.0.3 | 训练 | CPU，GPU | py3、py36 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.0.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.0.2 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.0.1 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.0.1 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<标签> | 2.0.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 2.0.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 2.0.0 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.15.5 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.15.5 | 训练 | CPU，GPU | py3、py36、py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.15.4 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.15.4 | 训练 | CPU，GPU | py3、py36、py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.15.3 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.15.3 | 训练 | CPU，GPU | py2、py3、py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.15.2 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.15.2 | 训练 | CPU，GPU | py2、py3、py37 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<标签> | 1.15.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.15.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.15.0 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference-eia:<标签> | 1.14.0 | eia | CPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.14.0 | 推理 | CPU，GPU | - | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.14.0 | 训练 | CPU，GPU | py2、py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-training:<标签> | 1.13.1 | 训练 | CPU，GPU | py3 | 
| 772153158452.dkr.ecr.ap-south-2.amazonaws.com/tensorflow-inference:<标签> | 1.13.0 | 推理 | CPU，GPU | - | 

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

以下 SageMaker AI Python SDK 示例演示如何检索特定的注册表路径。

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


| 注册表路径 | 版本 | 程序包版本 | 作业类型（映像范围） | 
| --- | --- | --- | --- | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.7-1 | 1.7.4 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.7-1 | 1.7.4 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.5-1 | 1.5.2 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.5-1 | 1.5.2 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.3-1 | 1.3.3 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.3-1 | 1.3.3 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.2-2 | 1.2.0 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.2-2 | 1.2.0 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.2-1 | 1.2.0 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.2-1 | 1.2.0 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.0-1 | 1.0.0 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 1.0-1 | 1.0.0 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<标签> | 1 | 0.72 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/xgboost:<标签> | 1 | 0.72 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 0.90-2 | 0.90 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 0.90-2 | 0.90 | 训练 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 0.90-1 | 0.90 | 推理 | 
| 628508329040.dkr.ecr.ap-south-2.amazonaws.com/sagemaker-xgboost:<标签> | 0.90-1 | 0.90 | 训练 |