Docker Registry Paths and Example Code for China (Beijing) (cn-north-1)
The following topics list parameters for each of the algorithms and deep learning containers in this region provided by Amazon SageMaker.
Topics
- AutoGluon (algorithm)
- BlazingText (algorithm)
- Chainer (DLC)
- Clarify (algorithm)
- DJL DeepSpeed (algorithm)
- Data Wrangler (algorithm)
- Debugger (algorithm)
- DeepAR Forecasting (algorithm)
- Factorization Machines (algorithm)
- Hugging Face (algorithm)
- IP Insights (algorithm)
- Image classification (algorithm)
- Inferentia MXNet (DLC)
- Inferentia PyTorch (DLC)
- K-Means (algorithm)
- KNN (algorithm)
- Linear Learner (algorithm)
- MXNet (DLC)
- MXNet Coach (DLC)
- Model Monitor (algorithm)
- NTM (algorithm)
- Neo Image Classification (algorithm)
- Neo MXNet (DLC)
- Neo PyTorch (DLC)
- Neo Tensorflow (DLC)
- Neo XGBoost (algorithm)
- Object Detection (algorithm)
- Object2Vec (algorithm)
- PCA (algorithm)
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- Random Cut Forest (algorithm)
- Scikit-learn (algorithm)
- Semantic Segmentation (algorithm)
- Seq2Seq (algorithm)
- Spark (algorithm)
- SparkML Serving (algorithm)
- Tensorflow (DLC)
- Tensorflow Coach (DLC)
- Tensorflow Inferentia (DLC)
- Tensorflow Ray (DLC)
- XGBoost (algorithm)
AutoGluon (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='cn-north-1',image_scope='inference',version='0.4')
| Registry path | Version | Job types (image scope) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.7.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.6.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.6.1 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.5.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.4.3 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.4.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.4.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.3.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<tag> |
0.3.1 | inference |
BlazingText (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/blazingtext:<tag> |
1 | inference, training |
Chainer (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='cn-north-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<tag> |
5.0.0 | inference, training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<tag> |
4.1.0 | inference, training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<tag> |
4.0.0 | inference, training | CPU, GPU | py2, py3 |
Clarify (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='cn-north-1',version='1.0',image_scope='processing')
| Registry path | Version | Job types (image scope) |
|---|---|---|
122526803553.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-clarify-processing:<tag> |
1.0 | processing |
DJL DeepSpeed (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
| Registry path | Version | Job types (image scope) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.22.1-deepspeed0.8.3-cu118-<tag> |
0.22.1 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> |
0.21.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> |
0.20.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> |
0.19.0 | inference |
Data Wrangler (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='data-wrangler',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
245909111842.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-data-wrangler-container:<tag> |
2.x | processing |
245909111842.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-data-wrangler-container:<tag> |
1.x | processing |
Debugger (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
618459771430.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-debugger-rules:<tag> |
latest | debugger |
DeepAR Forecasting (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/forecasting-deepar:<tag> |
1 | inference, training |
Factorization Machines (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/factorization-machines:<tag> |
1 | inference, training |
Hugging Face (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='cn-north-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.26.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.26.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.26.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.17.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.17.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.17.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.17.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.12.3 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.12.3 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.12.3 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.12.3 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.11.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.11.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.11.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.11.0 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.10.2 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.10.2 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.10.2 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.10.2 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.10.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.10.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.10.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.10.2 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.6.1 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.6.1 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.6.1 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.6.1 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<tag> |
4.6.1 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<tag> |
4.6.1 | inference |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.5.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.5.0 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<tag> |
4.4.2 | training |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<tag> |
4.4.2 | training |
IP Insights (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/ipinsights:<tag> |
1 | inference, training |
Image classification (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/image-classification:<tag> |
1 | inference, training |
Inferentia MXNet (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='cn-north-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-mxnet:<tag> |
1.8 | inference | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-mxnet:<tag> |
1.5.1 | inference | inf | py3 |
Inferentia PyTorch (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='cn-north-1',version='1.9',py_version='py3')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<tag> |
1.9 | inference | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<tag> |
1.8 | inference | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<tag> |
1.7 | inference | inf | py3 |
K-Means (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/kmeans:<tag> |
1 | inference, training |
KNN (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/knn:<tag> |
1 | inference, training |
Linear Learner (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/linear-learner:<tag> |
1 | inference, training |
MXNet (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='cn-north-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<tag> |
1.9.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<tag> |
1.9.0 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<tag> |
1.8.0 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<tag> |
1.8.0 | inference | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<tag> |
1.7.0 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<tag> |
1.7.0 | inference | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<tag> |
1.6.0 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<tag> |
1.6.0 | inference | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.4.1 | training | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<tag> |
1.4.1 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving:<tag> |
1.4.1 | inference | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<tag> |
1.4.1 | inference | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.4.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving:<tag> |
1.4.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving-eia:<tag> |
1.4.0 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.3.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.3.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-eia:<tag> |
1.3.0 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.2.1 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.2.1 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.1.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.1.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.0.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
1.0.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
0.12.1 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<tag> |
0.12.1 | inference | CPU, GPU | py2, py3 |
MXNet Coach (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='cn-north-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-mxnet:coach0.11.0-<tag> |
0.11.0 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-mxnet:coach0.11-<tag> |
0.11 | training | CPU, GPU | py3 |
Model Monitor (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
453000072557.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-model-monitor-analyzer:<tag> |
monitoring |
NTM (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/ntm:<tag> |
1 | inference, training |
Neo Image Classification (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/image-classification-neo:<tag> |
latest | inference |
Neo MXNet (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='cn-north-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-mxnet:<tag> |
1.8 | inference | CPU, GPU | py3 |
Neo PyTorch (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='cn-north-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.13 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.12 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.8 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.7 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.6 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.5 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<tag> |
1.4 | inference | CPU, GPU | py3 |
Neo Tensorflow (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='cn-north-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-tensorflow:<tag> |
2.9.2 | inference | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-tensorflow:<tag> |
1.15.3 | inference | CPU, GPU | py3 |
Neo XGBoost (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost-neo:<tag> |
latest | inference |
Object Detection (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/object-detection:<tag> |
1 | inference, training |
Object2Vec (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/object2vec:<tag> |
1 | inference, training |
PCA (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/pca:<tag> |
1 | inference, training |
PyTorch (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='cn-north-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
2.0.0 | inference | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
2.0.0 | training | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.13.1 | inference | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.13.1 | training | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.12.1 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference-graviton:<tag> |
1.12.1 | inference_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.12.1 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.12.0 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.12.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.11.0 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.11.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.10.2 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.10.2 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.10.0 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.10.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.9.1 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.9.1 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.9.0 | inference | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.9.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.8.1 | inference | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.8.1 | training | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.8.0 | inference | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.8.0 | training | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.7.1 | inference | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.7.1 | training | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.6.0 | inference | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.6.0 | training | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.5.0 | inference | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.5.0 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.4.0 | inference | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.4.0 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference-eia:<tag> |
1.3.1 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.3.1 | inference | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.3.1 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<tag> |
1.2.0 | inference | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<tag> |
1.2.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
1.1.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
1.1.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
1.0.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
1.0.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
0.4.0 | inference | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<tag> |
0.4.0 | training | CPU, GPU | py2, py3 |
PyTorch Neuron (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training-neuron:<tag> |
1.11.0 | training | TRN | py38 |
Random Cut Forest (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/randomcutforest:<tag> |
1 | inference, training |
Scikit-learn (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='cn-north-1',version='0.23-1',image_scope='inference')
| Registry path | Version | Package version | Job types (image scope) |
|---|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | training |
Semantic Segmentation (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/semantic-segmentation:<tag> |
1 | inference, training |
Seq2Seq (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='cn-north-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/seq2seq:<tag> |
1 | inference, training |
Spark (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='cn-north-1',version='3.0',image_scope='processing')
| Registry path | Version | Job types (image scope) |
|---|---|---|
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<tag> |
3.2 | processing |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<tag> |
3.1 | processing |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<tag> |
3.0 | processing |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<tag> |
2.4 | processing |
SparkML Serving (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='cn-north-1',version='2.4')
| Registry path | Version | Job types (image scope) |
|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<tag> |
3.3 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<tag> |
2.4 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<tag> |
2.2 | inference |
Tensorflow (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='cn-north-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.12.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.11.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.11.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.11.0 | training | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.10.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.10.1 | training | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.10.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.9.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.9.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.9.2 | training | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-graviton:<tag> |
2.9.1 | inference_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.8.4 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.8.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.8.0 | training | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.7.1 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.7.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.6.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.6.3 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.6.2 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.6.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.6.0 | training | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.5.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.5.1 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.5.0 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.4.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.4.3 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.4.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.4.1 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.3.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.3.2 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.3.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.3.1 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.3.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.3.0 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.2.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.2.2 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.2.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.2.1 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.2.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.2.0 | training | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.1.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.1.3 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.1.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.1.2 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.1.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.1.1 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.1.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.1.0 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.0.4 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.0.4 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.0.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.0.3 | training | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.0.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.0.2 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.0.1 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.0.1 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
2.0.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
2.0.0 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.15.5 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.15.5 | training | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.15.4 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.15.4 | training | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.15.3 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.15.3 | training | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.15.2 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.15.2 | training | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.15.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.15.0 | training | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.14.0 | inference | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.14.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<tag> |
1.13.1 | training | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<tag> |
1.13.1 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<tag> |
1.13.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<tag> |
1.13.0 | inference | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<tag> |
1.12.0 | eia | CPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving:<tag> |
1.12.0 | inference | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<tag> |
1.12.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<tag> |
1.11.0 | eia | CPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving:<tag> |
1.11.0 | inference | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<tag> |
1.11.0 | training | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-eia:<tag> |
1.10.0 | eia | CPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.10.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.10.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.9.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.9.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.8.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.8.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.7.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.7.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.6.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.6.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.5.0 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.5.0 | training | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.4.1 | inference | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<tag> |
1.4.1 | training | CPU, GPU | py2 |
Tensorflow Coach (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='cn-north-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11.1-<tag> |
0.11.1 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11.0-<tag> |
0.11.0 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11-<tag> |
0.11 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.10.1-<tag> |
0.10.1 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.10-<tag> |
0.10 | training | CPU, GPU | py3 |
Tensorflow Inferentia (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='cn-north-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-tensorflow:<tag> |
2.5.2 | inference | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-tensorflow:<tag> |
1.15.0 | inference | inf | py3 |
Tensorflow Ray (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='cn-north-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6.5-<tag> |
0.6.5 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6-<tag> |
0.6 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5.3-<tag> |
0.5.3 | training | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5-<tag> |
0.5 | training | CPU, GPU | py3 |
XGBoost (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='cn-north-1',version='1.5-1')
| Registry path | Version | Package version | Job types (image scope) |
|---|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | training |
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost:<tag> |
1 | 0.72 | inference |
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost:<tag> |
1 | 0.72 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 | training |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 | inference |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 | training |