기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다.
중국(베이징)의 Docker 레지스트리 경로 및 예제 코드 (cn-north-1)
다음 항목에는 Amazon에서 제공하는 이 지역의 각 알고리즘 및 딥 러닝 컨테이너에 대한 파라미터가 나열되어 SageMaker 있습니다.
주제
- AutoGluon (알고리즘)
- BlazingText (알고리즘)
- Chainer(DLC)
- Clarify(알고리즘)
- DJL (알고리즘) DeepSpeed
- Data Wrangler(알고리즘)
- Debugger(알고리즘)
- DeepAR Forecasting(알고리즘)
- Factorization Machine(알고리즘)
- Hugging Face(알고리즘)
- IP Insights(알고리즘)
- 이미지 분류(알고리즘)
- Inferentia MXNet(DLC)
- 인퍼런시아 PyTorch (DLC)
- K-Means(알고리즘)
- KNN(알고리즘)
- Linear Learner(알고리즘)
- MXNet(DLC)
- MXNet Coach(DLC)
- 모델 모니터(알고리즘)
- NTM(알고리즘)
- 네오 이미지 분류(알고리즘)
- Neo MXNet(DLC)
- 네오 PyTorch (DLC)
- Neo Tensorflow(DLC)
- Neo XGBoost(알고리즘)
- 객체 감지(알고리즘)
- Object2Vec(알고리즘)
- PCA(알고리즘)
- PyTorch (DLC)
- PyTorch 뉴런 (DLC)
- Random Cut Forest(알고리즘)
- Scikit-learn(알고리즘)
- 의미 체계 분할(알고리즘)
- Seq2Seq(알고리즘)
- Spark(알고리즘)
- SparkML Serving(알고리즘)
- Tensorflow(DLC)
- Tensorflow Coach(DLC)
- Tensorflow Inferentia(DLC)
- Tensorflow Ray(DLC)
- XGBoost(알고리즘)
AutoGluon (알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='cn-north-1',image_scope='inference',version='0.4')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.7.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.6.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.6.1 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.5.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.4.3 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.4.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.4.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.3.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/autogluon-inference:<태그> |
0.3.1 | 추론 |
BlazingText (알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/blazingtext:<태그> |
1 | 훈련, 추론 |
Chainer(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<태그> |
5.0.0 | 훈련, 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<태그> |
4.1.0 | 훈련, 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-chainer:<태그> |
4.0.0 | 훈련, 추론 | CPU, GPU | py2, py3 |
Clarify(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='cn-north-1',version='1.0',image_scope='processing')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
122526803553.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-clarify-processing:<태그> |
1.0 | 처리 중 |
DJL (알고리즘) DeepSpeed
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.22.1-deepspeed0.8.3-cu118-<태그> |
0.22.1 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.21.0-deepspeed0.8.3-cu117-<태그> |
0.21.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.20.0-deepspeed0.7.5-cu116-<태그> |
0.20.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/djl-inference:0.19.0-deepspeed0.7.3-cu113-<태그> |
0.19.0 | 추론 |
Data Wrangler(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='data-wrangler',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
245909111842.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-data-wrangler-container:<태그> |
2.x | 처리 중 |
245909111842.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-data-wrangler-container:<태그> |
1.x | 처리 중 |
Debugger(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
618459771430.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-debugger-rules:<태그> |
최신 | 디버거 |
DeepAR Forecasting(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/forecasting-deepar:<태그> |
1 | 훈련, 추론 |
Factorization Machine(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/factorization-machines:<태그> |
1 | 훈련, 추론 |
Hugging Face(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.26.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.26.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.26.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.17.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.17.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.17.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.17.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.12.3 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.12.3 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.12.3 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.12.3 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.11.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.11.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.11.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.11.0 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.10.2 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.10.2 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.10.2 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.10.2 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.10.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.10.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.10.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.10.2 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.6.1 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-inference:<태그> |
4.6.1 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-inference:<태그> |
4.6.1 | 추론 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.5.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.5.0 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-pytorch-training:<태그> |
4.4.2 | 훈련 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/huggingface-tensorflow-training:<태그> |
4.4.2 | 훈련 |
IP Insights(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/ipinsights:<태그> |
1 | 훈련, 추론 |
이미지 분류(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/image-classification:<태그> |
1 | 훈련, 추론 |
Inferentia MXNet(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='cn-north-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-mxnet:<태그> |
1.8 | 추론 | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-mxnet:<태그> |
1.5.1 | 추론 | inf | py3 |
인퍼런시아 PyTorch (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='cn-north-1',version='1.9',py_version='py3')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<태그> |
1.9 | 추론 | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<태그> |
1.8 | 추론 | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-pytorch:<태그> |
1.7 | 추론 | inf | py3 |
K-Means(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/kmeans:<태그> |
1 | 훈련, 추론 |
KNN(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/knn:<태그> |
1 | 훈련, 추론 |
Linear Learner(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/linear-learner:<태그> |
1 | 훈련, 추론 |
MXNet(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<태그> |
1.9.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<태그> |
1.9.0 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<태그> |
1.8.0 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<태그> |
1.8.0 | 추론 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<태그> |
1.7.0 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<태그> |
1.7.0 | 추론 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<태그> |
1.7.0 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<태그> |
1.6.0 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<태그> |
1.6.0 | 추론 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<태그> |
1.5.1 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.4.1 | 훈련 | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-training:<태그> |
1.4.1 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving:<태그> |
1.4.1 | 추론 | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference:<태그> |
1.4.1 | 추론 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/mxnet-inference-eia:<태그> |
1.4.1 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.4.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving:<태그> |
1.4.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-serving-eia:<태그> |
1.4.0 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.3.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.3.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet-eia:<태그> |
1.3.0 | eia | CPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.2.1 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.2.1 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.1.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.1.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.0.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
1.0.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
0.12.1 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-mxnet:<태그> |
0.12.1 | 추론 | CPU, GPU | py2, py3 |
MXNet Coach(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-mxnet:coach0.11.0-<태그> |
0.11.0 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-mxnet:coach0.11-<태그> |
0.11 | 훈련 | CPU, GPU | py3 |
모델 모니터(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
453000072557.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-model-monitor-analyzer:<태그> |
모니터링 |
NTM(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/ntm:<태그> |
1 | 훈련, 추론 |
네오 이미지 분류(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/image-classification-neo:<태그> |
최신 | 추론 |
Neo MXNet(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-mxnet:<태그> |
1.8 | 추론 | CPU, GPU | py3 |
네오 PyTorch (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.13 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.12 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.8 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.7 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.6 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.5 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-pytorch:<태그> |
1.4 | 추론 | CPU, GPU | py3 |
Neo Tensorflow(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-tensorflow:<태그> |
2.9.2 | 추론 | CPU, GPU | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-inference-tensorflow:<태그> |
1.15.3 | 추론 | CPU, GPU | py3 |
Neo XGBoost(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost-neo:<태그> |
최신 | 추론 |
객체 감지(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/object-detection:<태그> |
1 | 훈련, 추론 |
Object2Vec(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/object2vec:<태그> |
1 | 훈련, 추론 |
PCA(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/pca:<태그> |
1 | 훈련, 추론 |
PyTorch (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
2.0.0 | 추론 | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
2.0.0 | 훈련 | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.13.1 | 추론 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.13.1 | 훈련 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.12.1 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference-graviton:<태그> |
1.12.1 | inference_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.12.1 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.12.0 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.12.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.11.0 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.11.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.10.2 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.10.2 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.10.0 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.10.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.9.1 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.9.1 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.9.0 | 추론 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.9.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.8.1 | 추론 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.8.1 | 훈련 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.8.0 | 추론 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.8.0 | 훈련 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.7.1 | 추론 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.7.1 | 훈련 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.6.0 | 추론 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.6.0 | 훈련 | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.5.0 | 추론 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.5.0 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.4.0 | 추론 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.4.0 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference-eia:<태그> |
1.3.1 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.3.1 | 추론 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.3.1 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-inference:<태그> |
1.2.0 | 추론 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training:<태그> |
1.2.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
1.1.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
1.1.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
1.0.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
1.0.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
0.4.0 | 추론 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-pytorch:<태그> |
0.4.0 | 훈련 | CPU, GPU | py2, py3 |
PyTorch 뉴런 (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/pytorch-training-neuron:<태그> |
1.11.0 | 훈련 | TRN | py38 |
Random Cut Forest(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/randomcutforest:<태그> |
1 | 훈련, 추론 |
Scikit-learn(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='cn-north-1',version='0.23-1',image_scope='inference')
| 레지스트리 경로 | 버전 | 패키지 버전 | 작업 유형(이미지 범위) |
|---|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
1.2-1 | 1.2.1 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
1.2-1 | 1.2.1 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
0.23-1 | 0.23.2 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
0.23-1 | 0.23.2 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
0.20.0 | 0.20.0 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-scikit-learn:<태그> |
0.20.0 | 0.20.0 | 훈련 |
의미 체계 분할(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/semantic-segmentation:<태그> |
1 | 훈련, 추론 |
Seq2Seq(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='cn-north-1')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/seq2seq:<태그> |
1 | 추론, 훈련 |
Spark(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='cn-north-1',version='3.0',image_scope='processing')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<태그> |
3.2 | 처리 중 |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<태그> |
3.1 | 처리 중 |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<태그> |
3.0 | 처리 중 |
671472414489.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-spark-processing:<태그> |
2.4 | 처리 중 |
SparkML Serving(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='cn-north-1',version='2.4')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<태그> |
3.3 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<태그> |
2.4 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-sparkml-serving:<태그> |
2.2 | 추론 |
Tensorflow(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.12.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.11.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.11.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.11.0 | 훈련 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.10.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.10.1 | 훈련 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.10.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.9.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.9.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.9.2 | 훈련 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-graviton:<태그> |
2.9.1 | inference_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.8.4 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.8.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.8.0 | 훈련 | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.7.1 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.7.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.6.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.6.3 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.6.2 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.6.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.6.0 | 훈련 | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.5.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.5.1 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.5.0 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.4.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.4.3 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.4.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.4.1 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.3.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.3.2 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.3.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.3.1 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<태그> |
2.3.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.3.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.3.0 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.2.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.2.2 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.2.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.2.1 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.2.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.2.0 | 훈련 | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.1.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.1.3 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.1.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.1.2 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.1.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.1.1 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.1.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.1.0 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.0.4 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.0.4 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.0.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.0.3 | 훈련 | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.0.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.0.2 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.0.1 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.0.1 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<태그> |
2.0.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
2.0.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
2.0.0 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.15.5 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.15.5 | 훈련 | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.15.4 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.15.4 | 훈련 | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.15.3 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.15.3 | 훈련 | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.15.2 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.15.2 | 훈련 | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<태그> |
1.15.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.15.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.15.0 | 훈련 | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference-eia:<태그> |
1.14.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.14.0 | 추론 | CPU, GPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.14.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<태그> |
1.13.1 | 훈련 | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-training:<태그> |
1.13.1 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<태그> |
1.13.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-north-1.amazonaws.com.cn/tensorflow-inference:<태그> |
1.13.0 | 추론 | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<태그> |
1.12.0 | eia | CPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving:<태그> |
1.12.0 | 추론 | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<태그> |
1.12.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia:<태그> |
1.11.0 | eia | CPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-serving:<태그> |
1.11.0 | 추론 | CPU, GPU | - |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode:<태그> |
1.11.0 | 훈련 | CPU, GPU | py2, py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow-eia:<태그> |
1.10.0 | eia | CPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.10.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.10.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.9.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.9.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.8.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.8.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.7.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.7.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.6.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.6.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.5.0 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.5.0 | 훈련 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.4.1 | 추론 | CPU, GPU | py2 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-tensorflow:<태그> |
1.4.1 | 훈련 | CPU, GPU | py2 |
Tensorflow Coach(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
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')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11.1-<태그> |
0.11.1 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11.0-<태그> |
0.11.0 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.11-<태그> |
0.11 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.10.1-<태그> |
0.10.1 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:coach0.10-<태그> |
0.10 | 훈련 | CPU, GPU | py3 |
Tensorflow Inferentia(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='cn-north-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-tensorflow:<태그> |
2.5.2 | 추론 | inf | py3 |
472730292857.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-neo-tensorflow:<태그> |
1.15.0 | 추론 | inf | py3 |
Tensorflow Ray(DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='cn-north-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6.5-<태그> |
0.6.5 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6-<태그> |
0.6 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5.3-<태그> |
0.5.3 | 훈련 | CPU, GPU | py3 |
422961961927.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5-<태그> |
0.5 | 훈련 | CPU, GPU | py3 |
XGBoost(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='cn-north-1',version='1.5-1')
| 레지스트리 경로 | 버전 | 패키지 버전 | 작업 유형(이미지 범위) |
|---|---|---|---|
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.7-1 | 1.7.4 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.7-1 | 1.7.4 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | inference_graviton |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.2-2 | 1.2.0 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.2-2 | 1.2.0 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.2-1 | 1.2.0 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.2-1 | 1.2.0 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.0-1 | 1.0.0 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
1.0-1 | 1.0.0 | 훈련 |
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost:<태그> |
1 | 0.72 | 추론 |
390948362332.dkr.ecr.cn-north-1.amazonaws.com.cn/xgboost:<태그> |
1 | 0.72 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
0.90-2 | 0.90 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
0.90-2 | 0.90 | 훈련 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
0.90-1 | 0.90 | 추론 |
450853457545.dkr.ecr.cn-north-1.amazonaws.com.cn/sagemaker-xgboost:<태그> |
0.90-1 | 0.90 | 훈련 |
