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# 以色列（特拉维夫）（il-central-1）的 Docker 注册表路径和示例代码
<a name="ecr-il-central-1"></a>

以下主题列出了 Amazon SageMaker AI 在此 Amazon Web Services 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-il-central-1)
+ [BlazingText（算法）](#blazingtext-il-central-1)
+ [DJL DeepSpeed（算法）](#djl-deepspeed-il-central-1)
+ [Data Wrangler（算法）](#data-wrangler-il-central-1)
+ [DeepAR 预测（算法）](#forecasting-deepar-il-central-1)
+ [因子分解机（算法）](#factorization-machines-il-central-1)
+ [Hugging Face（算法）](#huggingface-il-central-1)
+ [IP 洞察（算法）](#ipinsights-il-central-1)
+ [图像分类（算法）](#image-classification-il-central-1)
+ [Inferentia MXNet (DLC)](#inferentia-mxnet-il-central-1)
+ [Inferentia PyTorch (DLC)](#inferentia-pytorch-il-central-1)
+ [K-Means（算法）](#kmeans-il-central-1)
+ [KNN（算法）](#knn-il-central-1)
+ [线性学习器（算法）](#linear-learner-il-central-1)
+ [MXNet (DLC)](#mxnet-il-central-1)
+ [Model Monitor（算法）](#model-monitor-il-central-1)
+ [NTM（算法）](#ntm-il-central-1)
+ [Neo Image Classification（算法）](#image-classification-neo-il-central-1)
+ [Neo MXNet (DLC)](#neo-mxnet-il-central-1)
+ [Neo PyTorch (DLC)](#neo-pytorch-il-central-1)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-il-central-1)
+ [Neo XGBoost（算法）](#xgboost-neo-il-central-1)
+ [对象检测（算法）](#object-detection-il-central-1)
+ [Object2Vec（算法）](#object2vec-il-central-1)
+ [PCA（算法）](#pca-il-central-1)
+ [PyTorch (DLC)](#pytorch-il-central-1)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-il-central-1)
+ [PyTorch Training Compiler (DLC)](#pytorch-training-compiler-il-central-1)
+ [Random Cut Forest（算法）](#randomcutforest-il-central-1)
+ [Scikit-learn（算法）](#sklearn-il-central-1)
+ [语义分割（算法）](#semantic-segmentation-il-central-1)
+ [Seq2Seq（算法）](#seq2seq-il-central-1)
+ [Spark（算法）](#spark-il-central-1)
+ [Tensorflow (DLC)](#tensorflow-il-central-1)
+ [Tensorflow Inferentia (DLC)](#inferentia-tensorflow-il-central-1)
+ [XGBoost（算法）](#xgboost-il-central-1)

## AutoGluon（算法）
<a name="autogluon-il-central-1"></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='il-central-1',image_scope='inference',version='0.4')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 1.3.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 1.3.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 1.2.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 1.2.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 1.1.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 1.1.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 1.1.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 1.1.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 1.0.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 1.0.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.8.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.8.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.7.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.7.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.6.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.6.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.6.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.6.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.5.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.5.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.4.3 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.4.3 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.4.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.4.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.4.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.4.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.3.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.3.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<标签>}} | 0.3.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<标签>}} | 0.3.1 | 推理 | 

## BlazingText（算法）
<a name="blazingtext-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext:{{<标签>}} | 1 | 推理、训练 | 

## DJL DeepSpeed（算法）
<a name="djl-deepspeed-il-central-1"></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='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-{{<标签>}} | 0.27.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-{{<标签>}} | 0.26.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-{{<标签>}} | 0.25.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-{{<标签>}} | 0.24.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-{{<标签>}} | 0.23.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-{{<标签>}} | 0.22.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-{{<标签>}} | 0.21.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-{{<标签>}} | 0.20.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-{{<标签>}} | 0.19.0 | 推理 | 

## Data Wrangler（算法）
<a name="data-wrangler-il-central-1"></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='data-wrangler',region='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container:{{<标签>}} | 3.x | 处理 | 

## DeepAR 预测（算法）
<a name="forecasting-deepar-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/forecasting-deepar:{{<标签>}} | 1 | 推理、训练 | 

## 因子分解机（算法）
<a name="factorization-machines-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/factorization-machines:{{<标签>}} | 1 | 推理、训练 | 

## Hugging Face（算法）
<a name="huggingface-il-central-1"></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='il-central-1',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） | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.49.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.49.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.48.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.48.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.46.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.37.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.36.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.28.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.28.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.26.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.26.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.26.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.17.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.17.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.17.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.17.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.12.3 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.12.3 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.12.3 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.12.3 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.11.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.11.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.11.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.11.0 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.10.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.10.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.10.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.10.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.10.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.10.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.10.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.10.2 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.6.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.6.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.6.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.6.1 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<标签>}} | 4.6.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<标签>}} | 4.6.1 | 推理 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.5.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.5.0 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<标签>}} | 4.4.2 | 训练 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<标签>}} | 4.4.2 | 训练 | 

## IP 洞察（算法）
<a name="ipinsights-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ipinsights:{{<标签>}} | 1 | 推理、训练 | 

## 图像分类（算法）
<a name="image-classification-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/image-classification:{{<标签>}} | 1 | 推理、训练 | 

## Inferentia MXNet (DLC)
<a name="inferentia-mxnet-il-central-1"></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='inferentia-mxnet',region='il-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:{{<标签>}} | 1.8 | 推理 | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:{{<标签>}} | 1.5.1 | 推理 | inf | py3 | 

## Inferentia PyTorch (DLC)
<a name="inferentia-pytorch-il-central-1"></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='inferentia-pytorch',region='il-central-1',version='1.9',py_version='py3')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<标签>}} | 1.9 | 推理 | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<标签>}} | 1.8 | 推理 | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<标签>}} | 1.7 | 推理 | inf | py3 | 

## K-Means（算法）
<a name="kmeans-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/kmeans:{{<标签>}} | 1 | 推理、训练 | 

## KNN（算法）
<a name="knn-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn:{{<标签>}} | 1 | 推理、训练 | 

## 线性学习器（算法）
<a name="linear-learner-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/linear-learner:{{<标签>}} | 1 | 推理、训练 | 

## MXNet (DLC)
<a name="mxnet-il-central-1"></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='il-central-1',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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<标签>}} | 1.9.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<标签>}} | 1.9.0 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<标签>}} | 1.8.0 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<标签>}} | 1.8.0 | 推理 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<标签>}} | 1.7.0 | 训练 | CPU，GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<标签>}} | 1.7.0 | 推理 | CPU，GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<标签>}} | 1.7.0 | eia | CPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<标签>}} | 1.6.0 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<标签>}} | 1.6.0 | 推理 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<标签>}} | 1.5.1 | eia | CPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<标签>}} | 1.4.1 | 训练 | CPU，GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<标签>}} | 1.4.1 | 推理 | CPU，GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<标签>}} | 1.4.1 | eia | CPU | py2、py3 | 

## Model Monitor（算法）
<a name="model-monitor-il-central-1"></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='model-monitor',region='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 843974653677.dkr.ecr.il-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:{{<标签>}} |  | 监控 | 

## NTM（算法）
<a name="ntm-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ntm:{{<标签>}} | 1 | 推理、训练 | 

## Neo Image Classification（算法）
<a name="image-classification-neo-il-central-1"></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-neo',region='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/image-classification-neo:{{<标签>}} | 最新 | 推理 | 

## Neo MXNet (DLC)
<a name="neo-mxnet-il-central-1"></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='neo-mxnet',region='il-central-1',version='1.8',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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-mxnet:{{<标签>}} | 1.8 | 推理 | CPU，GPU | py3 | 

## Neo PyTorch (DLC)
<a name="neo-pytorch-il-central-1"></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='neo-pytorch',region='il-central-1',version='1.6',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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 2.0 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.13 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.12 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.8 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.7 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.6 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.5 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<标签>}} | 1.4 | 推理 | CPU，GPU | py3 | 

## Neo Tensorflow (DLC)
<a name="neo-tensorflow-il-central-1"></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='neo-tensorflow',region='il-central-1',version='1.15.3',py_version='py3',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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:{{<标签>}} | 2.9.2 | 推理 | CPU，GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:{{<标签>}} | 1.15.3 | 推理 | CPU，GPU | py3 | 

## Neo XGBoost（算法）
<a name="xgboost-neo-il-central-1"></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-neo',region='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/xgboost-neo:{{<标签>}} | 最新 | 推理 | 

## 对象检测（算法）
<a name="object-detection-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object-detection:{{<标签>}} | 1 | 推理、训练 | 

## Object2Vec（算法）
<a name="object2vec-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object2vec:{{<标签>}} | 1 | 推理、训练 | 

## PCA（算法）
<a name="pca-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/pca:{{<标签>}} | 1 | 推理、训练 | 

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

有关支持和不支持的 PyTorch 版本的信息，请参阅《Amazon Deep Learning Containers 开发人员指南》**中的[框架支持策略表](https://docs.amazonaws.cn/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='il-central-1',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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.7.1 | 训练 | CPU，GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.6.0 | 推理 | CPU，GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.6.0 | 训练 | CPU，GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.5.1 | 推理 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.5.1 | 训练 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.4.0 | 推理 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.4.0 | inference\_graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.4.0 | 训练 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.3.0 | 推理 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.3.0 | inference\_graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.3.0 | 训练 | CPU，GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.2.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.2.0 | 推理 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.2.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.1.0 | 推理 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.1.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.1.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.0.1 | 推理 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.0.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.0.1 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 2.0.0 | 推理 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 2.0.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 2.0.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.13.1 | 推理 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.13.1 | 训练 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.12.1 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<标签>}} | 1.12.1 | inference\_graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.12.1 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.12.0 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.12.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.11.0 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.11.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.10.2 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.10.2 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.10.0 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.10.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.9.1 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.9.1 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.9.0 | 推理 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.9.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.8.1 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.8.1 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.8.0 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.8.0 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.7.1 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.7.1 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.6.0 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.6.0 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.5.0 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.5.0 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.4.0 | 推理 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.4.0 | 训练 | CPU，GPU | py2、py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.3.1 | 推理 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.3.1 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<标签>}} | 1.2.0 | 推理 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<标签>}} | 1.2.0 | 训练 | CPU，GPU | py2、py3 | 

## PyTorch Neuron (DLC)
<a name="pytorch-neuron-il-central-1"></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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron:{{<标签>}} | 1.11.0 | 训练 | TRN | py38 | 

## PyTorch Training Compiler (DLC)
<a name="pytorch-training-compiler-il-central-1"></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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:{{<标签>}} | 1.13.1 | 训练 | GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:{{<标签>}} | 1.12.0 | 训练 | GPU | py38 | 

## Random Cut Forest（算法）
<a name="randomcutforest-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest:{{<标签>}} | 1 | 推理、训练 | 

## Scikit-learn（算法）
<a name="sklearn-il-central-1"></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='il-central-1',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） | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 1.2-1 | 1.2.1 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 1.2-1 | 1.2.1 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 1.0-1 | 1.0.2 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 1.0-1 | 1.0.2 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 1.0-1 | 1.0.2 | inference\_graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 0.23-1 | 0.23.2 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 0.23-1 | 0.23.2 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<标签>}} | 0.20.0 | 0.20.0 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.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-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/semantic-segmentation:{{<标签>}} | 1 | 推理、训练 | 

## Seq2Seq（算法）
<a name="seq2seq-il-central-1"></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='il-central-1')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/seq2seq:{{<标签>}} | 1 | 推理、训练 | 

## Spark（算法）
<a name="spark-il-central-1"></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='il-central-1',version='3.0',image_scope='processing')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 
| --- | --- | --- | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<标签>}} | 3.3 | 处理 | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<标签>}} | 3.2 | 处理 | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<标签>}} | 3.1 | 处理 | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<标签>}} | 3.0 | 处理 | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<标签>}} | 2.4 | 处理 | 

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

有关支持和不支持的 TensorFlow 版本的信息，请参阅《Amazon Deep Learning Containers 开发人员指南》**中的[框架支持策略表](https://docs.amazonaws.cn/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='il-central-1',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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.19.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.19.0 | 训练 | CPU，GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.18.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.18.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.16.2 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.16.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<标签>}} | 2.16.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.14.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<标签>}} | 2.14.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.14.1 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.13.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<标签>}} | 2.13.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.13.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.12.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<标签>}} | 2.12.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.12.0 | 训练 | CPU，GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.11.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.11.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.11.0 | 训练 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.10.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.10.1 | 训练 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.10.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.9.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.9.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.9.2 | 训练 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<标签>}} | 2.9.1 | inference\_graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.8.4 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.8.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.8.0 | 训练 | CPU，GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.7.1 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.7.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.6.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.6.3 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.6.2 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.6.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.6.0 | 训练 | CPU，GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.5.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.5.1 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.5.0 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.4.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.4.3 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.4.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.4.1 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.3.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.3.2 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.3.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.3.1 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<标签>}} | 2.3.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.3.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.3.0 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.2.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.2.2 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.2.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.2.1 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.2.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.2.0 | 训练 | CPU，GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.1.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.1.3 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.1.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.1.2 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.1.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.1.1 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.1.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.1.0 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.0.4 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.0.4 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.0.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.0.3 | 训练 | CPU，GPU | py3、py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.0.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.0.2 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.0.1 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.0.1 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<标签>}} | 2.0.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 2.0.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 2.0.0 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.15.5 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.15.5 | 训练 | CPU，GPU | py3、py36、py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.15.4 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.15.4 | 训练 | CPU，GPU | py3、py36、py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.15.3 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.15.3 | 训练 | CPU，GPU | py2、py3、py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.15.2 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.15.2 | 训练 | CPU，GPU | py2、py3、py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<标签>}} | 1.15.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.15.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.15.0 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<标签>}} | 1.14.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.14.0 | 推理 | CPU，GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.14.0 | 训练 | CPU，GPU | py2、py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<标签>}} | 1.13.1 | 训练 | CPU，GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<标签>}} | 1.13.0 | 推理 | CPU，GPU | - | 

## Tensorflow Inferentia (DLC)
<a name="inferentia-tensorflow-il-central-1"></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='inferentia-tensorflow',region='il-central-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:{{<标签>}} | 2.5.2 | 推理 | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:{{<标签>}} | 1.15.0 | 推理 | inf | py3 | 

## XGBoost（算法）
<a name="xgboost-il-central-1"></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='il-central-1',version='1.5-1')
```


| 注册表路径 | 版本 | 程序包版本 | 作业类型（映像范围） | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.7-1 | 1.7.4 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.7-1 | 1.7.4 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.5-1 | 1.5.2 | 推理 | 
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| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.5-1 | 1.5.2 | inference\_graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.3-1 | 1.3.3 | 推理 | 
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| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.3-1 | 1.3.3 | inference\_graviton | 
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| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.2-2 | 1.2.0 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.2-1 | 1.2.0 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.2-1 | 1.2.0 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 1.0-1 | 1.0.0 | 推理 | 
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| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 0.90-2 | 0.90 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 0.90-2 | 0.90 | 训练 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 0.90-1 | 0.90 | 推理 | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<标签>}} | 0.90-1 | 0.90 | 训练 |