本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。
亞太區域 (東京) 的 Docker 登錄檔路徑和範例程式碼 (ap-northeast-1)
下列主題列出 Amazon 提供的此區域中每個演算法和深度學習容器的參數 SageMaker。
主題
- AutoGluon (演算法)
- BlazingText (演算法)
- Chainer (DLC)
- Clarify (演算法)
- DJL DeepSpeed 演算法
- Data Wrangler (演算法)
- Debugger (演算法)
- DeepAR Forecasting (演算法)
- 因式分解機 (演算法)
- Hugging Face (演算法)
- IP Insights (演算法)
- 影像分類 (演算法)
- Inferentia MXNet (DLC)
- 推論 (可下載內容 PyTorch )
- K-Means (演算法)
- KNN (演算法)
- LDA (演算法)
- Linear Learner (演算法)
- MXNet (DLC)
- MXNet Coach (DLC)
- Model Monitor (演算法)
- NTM (演算法)
- Neo Image Classification (演算法)
- Neo MXNet (DLC)
- 新 PyTorch (可下載內容)
- Neo Tensorflow (DLC)
- Neo XGBoost (演算法)
- Object Detection (演算法)
- Object2Vec (演算法)
- PCA (演算法)
- PyTorch (可下載內容)
- PyTorch 神经元
- PyTorch 訓練編譯器 (DLC)
- Random Cut Forest (演算法)
- 雷 PyTorch (可下載內容)
- Scikit-learn (演算法)
- Semantic Segmentation (演算法)
- Seq2Seq (演算法)
- Spark (演算法)
- SparkML Serving (演算法)
- Tensorflow (DLC)
- Tensorflow Coach (DLC)
- Tensorflow Inferentia (DLC)
- Tensorflow Ray (DLC)
- VW (演算法)
- XGBoost (演算法)
AutoGluon (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='ap-northeast-1',image_scope='inference',version='0.4')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.7.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.7.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.6.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.6.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.6.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.6.1 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.5.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.4.3 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.4.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.4.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.4.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.3.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-training:<tag> |
0.3.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/autogluon-inference:<tag> |
0.3.1 | 推論 |
BlazingText (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/blazingtext:<tag> |
1 | 推論、訓練 |
Chainer (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='ap-northeast-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> |
5.0.0 | 推論、訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> |
4.1.0 | 推論、訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-chainer:<tag> |
4.0.0 | 推論、訓練 | CPU、GPU | py2, py3 |
Clarify (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='ap-northeast-1',version='1.0',image_scope='processing')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
377024640650.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-clarify-processing:<tag> |
1.0 | 處理 |
DJL DeepSpeed 演算法
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.8.3-cu118-<tag> |
0.22.1 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> |
0.21.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> |
0.20.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> |
0.19.0 | 推論 |
Data Wrangler (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='data-wrangler',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
649008135260.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> |
2.x | 處理 |
649008135260.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> |
1.x | 處理 |
Debugger (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
430734990657.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-debugger-rules:<tag> |
最新 | debugger |
DeepAR Forecasting (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
633353088612.dkr.ecr.ap-northeast-1.amazonaws.com/forecasting-deepar:<tag> |
1 | 推論、訓練 |
因式分解機 (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/factorization-machines:<tag> |
1 | 推論、訓練 |
Hugging Face (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='ap-northeast-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.26.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.26.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.26.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | 推論 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | 訓練 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.4.2 | 訓練 |
IP Insights (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/ipinsights:<tag> |
1 | 推論、訓練 |
影像分類 (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/image-classification:<tag> |
1 | 推論、訓練 |
Inferentia MXNet (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='ap-northeast-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> |
1.8 | 推論 | inf | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-mxnet:<tag> |
1.5.1 | 推論 | inf | py3 |
推論 (可下載內容 PyTorch )
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='ap-northeast-1',version='1.9',py_version='py3')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1.9 | 推論 | inf | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1.8 | 推論 | inf | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1.7 | 推論 | inf | py3 |
K-Means (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/kmeans:<tag> |
1 | 推論、訓練 |
KNN (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/knn:<tag> |
1 | 推論、訓練 |
LDA (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='lda',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
258307448986.dkr.ecr.ap-northeast-1.amazonaws.com/lda:<tag> |
1 | 推論、訓練 |
Linear Learner (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/linear-learner:<tag> |
1 | 推論、訓練 |
MXNet (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='ap-northeast-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> |
1.9.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> |
1.8.0 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | 推論 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> |
1.7.0 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | 推論 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> |
1.6.0 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | 推論 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.4.1 | 訓練 | CPU、GPU | py2 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-training:<tag> |
1.4.1 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> |
1.4.1 | 推論 | CPU、GPU | py2 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | 推論 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.4.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving:<tag> |
1.4.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> |
1.4.0 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.3.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.3.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet-eia:<tag> |
1.3.0 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.2.1 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.2.1 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.1.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.1.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.0.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.0.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
0.12.1 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-mxnet:<tag> |
0.12.1 | 推論 | CPU、GPU | py2, py3 |
MXNet Coach (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='ap-northeast-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> |
0.11.0 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> |
0.11 | 訓練 | CPU、GPU | py3 |
Model Monitor (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
574779866223.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |
監控 |
NTM (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/ntm:<tag> |
1 | 推論、訓練 |
Neo Image Classification (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/image-classification-neo:<tag> |
最新 | 推論 |
Neo MXNet (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='ap-northeast-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-mxnet:<tag> |
1.8 | 推論 | CPU、GPU | py3 |
新 PyTorch (可下載內容)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='ap-northeast-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.13 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.12 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.8 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.7 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.6 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.5 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.4 | 推論 | CPU、GPU | py3 |
Neo Tensorflow (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='ap-northeast-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> |
2.9.2 | 推論 | CPU、GPU | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> |
1.15.3 | 推論 | CPU、GPU | py3 |
Neo XGBoost (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost-neo:<tag> |
最新 | 推論 |
Object Detection (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/object-detection:<tag> |
1 | 推論、訓練 |
Object2Vec (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/object2vec:<tag> |
1 | 推論、訓練 |
PCA (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/pca:<tag> |
1 | 推論、訓練 |
PyTorch (可下載內容)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='ap-northeast-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
2.0.0 | 推論 | CPU、GPU | py310 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> |
2.0.0 | 推論_graviton | CPU | py310 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
2.0.0 | 訓練 | CPU、GPU | py310 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.13.1 | 推論 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.13.1 | 訓練 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.12.1 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-graviton:<tag> |
1.12.1 | 推論_graviton | CPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.12.1 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.12.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.11.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.10.2 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.10.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.9.1 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | 推論 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.9.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | 推論 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.8.1 | 訓練 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | 推論 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.8.0 | 訓練 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | 推論 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.7.1 | 訓練 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | 推論 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.6.0 | 訓練 | CPU、GPU | py3, py36 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-eia:<tag> |
1.5.1 | eia | CPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | 推論 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.5.0 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | 推論 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.4.0 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference-eia:<tag> |
1.3.1 | eia | CPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | 推論 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.3.1 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | 推論 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training:<tag> |
1.2.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.1.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.1.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.0.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.0.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
0.4.0 | 推論 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-pytorch:<tag> |
0.4.0 | 訓練 | CPU、GPU | py2, py3 |
PyTorch 神经元
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-training-neuron:<tag> |
1.11.0 | 訓練 | TRN | py38 |
PyTorch 訓練編譯器 (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-trcomp-training:<tag> |
1.13.1 | 訓練 | GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/pytorch-trcomp-training:<tag> |
1.12.0 | 訓練 | GPU | py38 |
Random Cut Forest (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
351501993468.dkr.ecr.ap-northeast-1.amazonaws.com/randomcutforest:<tag> |
1 | 推論、訓練 |
雷 PyTorch (可下載內容)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='ray-pytorch',region='ap-northeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<tag> |
1.6.0 | 訓練 | CPU、GPU | py36 |
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<tag> |
0.8.5 | 訓練 | CPU、GPU | py36 |
Scikit-learn (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='ap-northeast-1',version='0.23-1',image_scope='inference')
| 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) |
|---|---|---|---|
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | 推論_graviton |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | 訓練 |
Semantic Segmentation (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/semantic-segmentation:<tag> |
1 | 推論、訓練 |
Seq2Seq (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='ap-northeast-1')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/seq2seq:<tag> |
1 | 推論、訓練 |
Spark (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='ap-northeast-1',version='3.0',image_scope='processing')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.2 | 處理 |
411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.1 | 處理 |
411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.0 | 處理 |
411782140378.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-spark-processing:<tag> |
2.4 | 處理 |
SparkML Serving (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='ap-northeast-1',version='2.4')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
3.3 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
2.4 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
2.2 | 推論 |
Tensorflow (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='ap-northeast-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.12.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.12.0 | 訓練 | CPU、GPU | py310 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.11.0 | 訓練 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | 訓練 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | 訓練 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | 推論_graviton | CPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | 訓練 | CPU、GPU | py39 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | 訓練 | CPU、GPU | py38 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | 訓練 | CPU、GPU | py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | 訓練 | CPU、GPU | py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.5 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.15.5 | 訓練 | CPU、GPU | py3, py36, py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.4 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.15.4 | 訓練 | CPU、GPU | py3, py36, py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.3 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.15.3 | 訓練 | CPU、GPU | py2, py3, py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | 訓練 | CPU、GPU | py2, py3, py37 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | 訓練 | CPU、GPU | py2, py3 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | 推論 | CPU、GPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.13.1 | 訓練 | CPU、GPU | py2 |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.13.0 | eia | CPU | - |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/tensorflow-inference:<tag> |
1.13.0 | 推論 | CPU、GPU | - |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.12.0 | eia | CPU | - |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> |
1.12.0 | 推論 | CPU、GPU | - |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.12.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.11.0 | eia | CPU | - |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> |
1.11.0 | 推論 | CPU、GPU | - |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.11.0 | 訓練 | CPU、GPU | py2, py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> |
1.10.0 | eia | CPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.10.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.10.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.9.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.9.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.8.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.8.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.7.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.7.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.6.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.6.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.5.0 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.5.0 | 訓練 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.4.1 | 推論 | CPU、GPU | py2 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.4.1 | 訓練 | CPU、GPU | py2 |
Tensorflow Coach (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='ap-northeast-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<tag> |
1.0.0 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> |
0.11.1 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> |
0.11.0 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> |
0.11 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> |
0.10.1 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> |
0.10 | 訓練 | CPU、GPU | py3 |
Tensorflow Inferentia (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='ap-northeast-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> |
2.5.2 | 推論 | inf | py3 |
941853720454.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> |
1.15.0 | 推論 | inf | py3 |
Tensorflow Ray (DLC)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='ap-northeast-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 |
|---|---|---|---|---|
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<tag> |
1.6.0 | 訓練 | CPU、GPU | py37 |
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<tag> |
0.8.5 | 訓練 | CPU、GPU | py36 |
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<tag> |
0.8.2 | 訓練 | CPU、GPU | py36 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> |
0.6.5 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> |
0.6 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> |
0.5.3 | 訓練 | CPU、GPU | py3 |
520713654638.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> |
0.5 | 訓練 | CPU、GPU | py3 |
VW (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='vw',region='ap-northeast-1',version='8.7.0',image_scope='training')
| 登錄檔路徑 | 版本 | 工作類型 (影像範圍) |
|---|---|---|
462105765813.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<tag> |
8.7.0 | 訓練 |
XGBoost (演算法)
SageMaker Python SDK 實例來檢索註冊表路徑。
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='ap-northeast-1',version='1.5-1')
| 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) |
|---|---|---|---|
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | 推論_graviton |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | 推論_graviton |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | 訓練 |
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost:<tag> |
1 | 0.72 | 推論 |
501404015308.dkr.ecr.ap-northeast-1.amazonaws.com/xgboost:<tag> |
1 | 0.72 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 版 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 版 | 訓練 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 版 | 推論 |
354813040037.dkr.ecr.ap-northeast-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 版 | 訓練 |
