亚太地区（香港）(ap-east-1) 的 Docker 注册表路径和示例代码
以下主题列出了 Amazon SageMaker 在此区域中提供的各种算法和深度学习容器的参数。
主题
- AutoGluon（算法）
- BlazingText（算法）
- Chainer (DLC)
- Clarify（算法）
- DJL DeepSpeed（算法）
- Data Wrangler（算法）
- 调试器（算法）
- DeepAR 预测（算法）
- 因子分解机（算法）
- Hugging Face（算法）
- IP 洞察（算法）
- 图像分类（算法）
- Inferentia MXNet (DLC)
- Inferentia PyTorch (DLC)
- K-Means（算法）
- KNN（算法）
- 线性学习器（算法）
- MXNet (DLC)
- MXNet Coach (DLC)
- 模型监控器（算法）
- NTM（算法）
- Neo Image Classification（算法）
- Neo MXNet (DLC)
- Neo PyTorch (DLC)
- Neo Tensorflow (DLC)
- Neo XGBoost（算法）
- 对象检测（算法）
- Object2Vec（算法）
- PCA（算法）
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- PyTorch Training Compiler (DLC)
- Random Cut Forest（算法）
- Scikit-learn（算法）
- 语义分割（算法）
- Seq2Seq（算法）
- Spark（算法）
- SparkML Serving（算法）
- Tensorflow (DLC)
- Tensorflow Coach (DLC)
- Tensorflow Inferentia (DLC)
- Tensorflow Ray (DLC)
- XGBoost（算法）
AutoGluon（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='ap-east-1',image_scope='inference',version='0.4')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.7.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.7.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.6.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.6.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.6.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.6.1 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.5.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.5.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.4.3 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.4.3 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.4.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.4.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.4.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.4.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.3.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.3.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-training:<标签> |
0.3.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/autogluon-inference:<标签> |
0.3.1 | 推理 |
BlazingText（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/blazingtext:<标签> |
1 | 推理、训练 |
Chainer (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='ap-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<标签> |
5.0.0 | 推理、训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<标签> |
4.1.0 | 推理、训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-chainer:<标签> |
4.0.0 | 推理、训练 | CPU，GPU | py2、py3 |
Clarify（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='ap-east-1',version='1.0',image_scope='processing')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
098760798382.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-clarify-processing:<标签> |
1.0 | 处理 |
DJL DeepSpeed（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
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） |
|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.8.3-cu118-<标签> |
0.22.1 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<标签> |
0.21.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<标签> |
0.20.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<标签> |
0.19.0 | 推理 |
Data Wrangler（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='data-wrangler',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
707077482487.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-data-wrangler-container:<标签> |
2.x | 处理 |
707077482487.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-data-wrangler-container:<标签> |
1.x | 处理 |
调试器（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
199566480951.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-debugger-rules:<标签> |
最新 | 调试器 |
DeepAR 预测（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/forecasting-deepar:<标签> |
1 | 推理、训练 |
因子分解机（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/factorization-machines:<标签> |
1 | 推理、训练 |
Hugging Face（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='ap-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.26.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.26.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.26.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.17.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.17.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.17.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.17.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.12.3 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.12.3 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.12.3 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.12.3 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.11.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.11.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.11.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.11.0 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.10.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.10.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.10.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.10.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.10.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.10.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.10.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.10.2 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.6.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.6.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.6.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.6.1 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-inference:<标签> |
4.6.1 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-inference:<标签> |
4.6.1 | 推理 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.5.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.5.0 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-pytorch-training:<标签> |
4.4.2 | 训练 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/huggingface-tensorflow-training:<标签> |
4.4.2 | 训练 |
IP 洞察（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/ipinsights:<标签> |
1 | 推理、训练 |
图像分类（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/image-classification:<标签> |
1 | 推理、训练 |
Inferentia MXNet (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='ap-east-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 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-mxnet:<标签> |
1.8 | 推理 | inf | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-mxnet:<标签> |
1.5.1 | 推理 | inf | py3 |
Inferentia PyTorch (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='ap-east-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 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<标签> |
1.9 | 推理 | inf | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<标签> |
1.8 | 推理 | inf | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-pytorch:<标签> |
1.7 | 推理 | inf | py3 |
K-Means（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/kmeans:<标签> |
1 | 推理、训练 |
KNN（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/knn:<标签> |
1 | 推理、训练 |
线性学习器（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/linear-learner:<标签> |
1 | 推理、训练 |
MXNet (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='ap-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<标签> |
1.9.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<标签> |
1.9.0 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<标签> |
1.8.0 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<标签> |
1.8.0 | 推理 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<标签> |
1.7.0 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<标签> |
1.7.0 | 推理 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<标签> |
1.7.0 | eia | CPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<标签> |
1.6.0 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<标签> |
1.6.0 | 推理 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<标签> |
1.5.1 | eia | CPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.4.1 | 训练 | CPU，GPU | py2 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-training:<标签> |
1.4.1 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving:<标签> |
1.4.1 | 推理 | CPU，GPU | py2 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference:<标签> |
1.4.1 | 推理 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/mxnet-inference-eia:<标签> |
1.4.1 | eia | CPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.4.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving:<标签> |
1.4.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-serving-eia:<标签> |
1.4.0 | eia | CPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.3.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.3.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet-eia:<标签> |
1.3.0 | eia | CPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.2.1 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.2.1 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.1.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.1.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.0.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
1.0.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
0.12.1 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-mxnet:<标签> |
0.12.1 | 推理 | CPU，GPU | py2、py3 |
MXNet Coach (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='ap-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<标签> |
0.11.0 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<标签> |
0.11 | 训练 | CPU，GPU | py3 |
模型监控器（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
001633400207.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-model-monitor-analyzer:<标签> |
监控 |
NTM（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/ntm:<标签> |
1 | 推理、训练 |
Neo Image Classification（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/image-classification-neo:<标签> |
最新 | 推理 |
Neo MXNet (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='ap-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-mxnet:<标签> |
1.8 | 推理 | CPU，GPU | py3 |
Neo PyTorch (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='ap-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.13 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.12 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.8 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.7 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.6 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.5 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-pytorch:<标签> |
1.4 | 推理 | CPU，GPU | py3 |
Neo Tensorflow (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='ap-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-tensorflow:<标签> |
2.9.2 | 推理 | CPU，GPU | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-inference-tensorflow:<标签> |
1.15.3 | 推理 | CPU，GPU | py3 |
Neo XGBoost（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/xgboost-neo:<标签> |
最新 | 推理 |
对象检测（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/object-detection:<标签> |
1 | 推理、训练 |
Object2Vec（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/object2vec:<标签> |
1 | 推理、训练 |
PCA（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/pca:<标签> |
1 | 推理、训练 |
PyTorch (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='ap-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
2.0.0 | 推理 | CPU，GPU | py310 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<标签> |
2.0.0 | inference_graviton | CPU | py310 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
2.0.0 | 训练 | CPU，GPU | py310 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.13.1 | 推理 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.13.1 | 训练 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.12.1 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference-graviton:<标签> |
1.12.1 | inference_graviton | CPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.12.1 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.12.0 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.12.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.11.0 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.11.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.10.2 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.10.2 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.10.0 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.10.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.9.1 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.9.1 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.9.0 | 推理 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.9.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.8.1 | 推理 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.8.1 | 训练 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.8.0 | 推理 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.8.0 | 训练 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.7.1 | 推理 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.7.1 | 训练 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.6.0 | 推理 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.6.0 | 训练 | CPU，GPU | py3、py36 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.5.0 | 推理 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.5.0 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.4.0 | 推理 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.4.0 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.3.1 | 推理 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.3.1 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-inference:<标签> |
1.2.0 | 推理 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training:<标签> |
1.2.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
1.1.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
1.1.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
1.0.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
1.0.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
0.4.0 | 推理 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-pytorch:<标签> |
0.4.0 | 训练 | CPU，GPU | py2、py3 |
PyTorch Neuron (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
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 |
|---|---|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-training-neuron:<标签> |
1.11.0 | 训练 | TRN | py38 |
PyTorch Training Compiler (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
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 |
|---|---|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-trcomp-training:<标签> |
1.13.1 | 训练 | GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/pytorch-trcomp-training:<标签> |
1.12.0 | 训练 | GPU | py38 |
Random Cut Forest（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/randomcutforest:<标签> |
1 | 推理、训练 |
Scikit-learn（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='ap-east-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） |
|---|---|---|---|
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
1.2-1 | 1.2.1 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
1.2-1 | 1.2.1 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
1.0-1 | 1.0.2 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
1.0-1 | 1.0.2 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
1.0-1 | 1.0.2 | inference_graviton |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
0.23-1 | 0.23.2 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
0.23-1 | 0.23.2 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
0.20.0 | 0.20.0 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-scikit-learn:<标签> |
0.20.0 | 0.20.0 | 训练 |
语义分割（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/semantic-segmentation:<标签> |
1 | 推理、训练 |
Seq2Seq（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='ap-east-1')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
286214385809.dkr.ecr.ap-east-1.amazonaws.com/seq2seq:<标签> |
1 | 推理、训练 |
Spark（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='ap-east-1',version='3.0',image_scope='processing')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<标签> |
3.2 | 处理 |
732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<标签> |
3.1 | 处理 |
732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<标签> |
3.0 | 处理 |
732049463269.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-spark-processing:<标签> |
2.4 | 处理 |
SparkML Serving（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='ap-east-1',version='2.4')
| 注册表路径 | 版本 | 作业类型（映像范围） |
|---|---|---|
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<标签> |
3.3 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<标签> |
2.4 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-sparkml-serving:<标签> |
2.2 | 推理 |
Tensorflow (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='ap-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.12.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.12.0 | 训练 | CPU，GPU | py310 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.11.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.11.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.11.0 | 训练 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.10.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.10.1 | 训练 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.10.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.9.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.9.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.9.2 | 训练 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-graviton:<标签> |
2.9.1 | inference_graviton | CPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.8.4 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.8.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.8.0 | 训练 | CPU，GPU | py39 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.7.1 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.7.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.6.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.6.3 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.6.2 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.6.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.6.0 | 训练 | CPU，GPU | py38 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.5.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.5.1 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.5.0 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.4.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.4.3 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.4.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.4.1 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.3.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.3.2 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.3.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.3.1 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<标签> |
2.3.0 | eia | CPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.3.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.3.0 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.2.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.2.2 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.2.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.2.1 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.2.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.2.0 | 训练 | CPU，GPU | py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.1.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.1.3 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.1.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.1.2 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.1.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.1.1 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.1.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.1.0 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.0.4 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.0.4 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.0.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.0.3 | 训练 | CPU，GPU | py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.0.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.0.2 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.0.1 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.0.1 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<标签> |
2.0.0 | eia | CPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
2.0.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
2.0.0 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.15.5 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.15.5 | 训练 | CPU，GPU | py3、py36、py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.15.4 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.15.4 | 训练 | CPU，GPU | py3、py36、py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.15.3 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.15.3 | 训练 | CPU，GPU | py2、py3、py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.15.2 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.15.2 | 训练 | CPU，GPU | py2、py3、py37 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<标签> |
1.15.0 | eia | CPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.15.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.15.0 | 训练 | CPU，GPU | py2、py3 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference-eia:<标签> |
1.14.0 | eia | CPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.14.0 | 推理 | CPU，GPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.14.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<标签> |
1.13.1 | 训练 | CPU，GPU | py2 |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-training:<标签> |
1.13.1 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<标签> |
1.13.0 | eia | CPU | - |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/tensorflow-inference:<标签> |
1.13.0 | 推理 | CPU，GPU | - |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<标签> |
1.12.0 | eia | CPU | - |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving:<标签> |
1.12.0 | 推理 | CPU，GPU | - |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<标签> |
1.12.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<标签> |
1.11.0 | eia | CPU | - |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-serving:<标签> |
1.11.0 | 推理 | CPU，GPU | - |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<标签> |
1.11.0 | 训练 | CPU，GPU | py2、py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow-eia:<标签> |
1.10.0 | eia | CPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.10.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.10.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.9.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.9.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.8.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.8.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.7.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.7.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.6.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.6.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.5.0 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.5.0 | 训练 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.4.1 | 推理 | CPU，GPU | py2 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-tensorflow:<标签> |
1.4.1 | 训练 | CPU，GPU | py2 |
Tensorflow Coach (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='ap-east-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
| 注册表路径 | 版本 | 作业类型（映像范围） | 处理器类型 | Python 版本 |
|---|---|---|---|---|
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<标签> |
0.11.1 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<标签> |
0.11.0 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<标签> |
0.11 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<标签> |
0.10.1 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<标签> |
0.10 | 训练 | CPU，GPU | py3 |
Tensorflow Inferentia (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='ap-east-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 |
|---|---|---|---|---|
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-tensorflow:<标签> |
2.5.2 | 推理 | inf | py3 |
110948597952.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-neo-tensorflow:<标签> |
1.15.0 | 推理 | inf | py3 |
Tensorflow Ray (DLC)
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='ap-east-1',version='0.8.5',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 |
|---|---|---|---|---|
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<标签> |
0.6.5 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<标签> |
0.6 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<标签> |
0.5.3 | 训练 | CPU，GPU | py3 |
057415533634.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<标签> |
0.5 | 训练 | CPU，GPU | py3 |
XGBoost（算法）
用于检索注册表路径的 SageMaker Python SDK 示例。
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='ap-east-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） |
|---|---|---|---|
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.7-1 | 1.7.4 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.7-1 | 1.7.4 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.5-1 | 1.5.2 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.5-1 | 1.5.2 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.5-1 | 1.5.2 | inference_graviton |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.3-1 | 1.3.3 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.3-1 | 1.3.3 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.3-1 | 1.3.3 | inference_graviton |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.2-2 | 1.2.0 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.2-2 | 1.2.0 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.2-1 | 1.2.0 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.2-1 | 1.2.0 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.0-1 | 1.0.0 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
1.0-1 | 1.0.0 | 训练 |
286214385809.dkr.ecr.ap-east-1.amazonaws.com/xgboost:<标签> |
1 | 0.72 | 推理 |
286214385809.dkr.ecr.ap-east-1.amazonaws.com/xgboost:<标签> |
1 | 0.72 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
0.90-2 | 0.90 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
0.90-2 | 0.90 | 训练 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
0.90-1 | 0.90 | 推理 |
651117190479.dkr.ecr.ap-east-1.amazonaws.com/sagemaker-xgboost:<标签> |
0.90-1 | 0.90 | 训练 |