기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다.
미국 동부(버지니아 북부)(us-east-1) Docker 레지스트리 경로 및 예시 코드
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)
- LDA(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)
- PyTorch 트레이닝 컴파일러 (DLC)
- Random Cut Forest(알고리즘)
- 레이 PyTorch (DLC)
- 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)
- VW(알고리즘)
- XGBoost(알고리즘)
AutoGluon (알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='us-east-1',image_scope='inference',version='0.4')# Output path '763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:0.4-cpu-py38'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.7.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.7.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.6.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.6.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.6.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.6.1 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.5.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.5.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.4.3 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.4.3 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.4.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.4.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.4.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.4.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.3.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:<태그> |
0.3.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training:<태그> |
0.3.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '811284229777.dkr.ecr.us-east-1.amazonaws.com/blazingtext:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
811284229777.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')# Output path '520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:5.0.0-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:<태그> |
5.0.0 | 훈련, 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:<태그> |
4.1.0 | 훈련, 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.0',image_scope='processing')# Output path '205585389593.dkr.ecr.us-east-1.amazonaws.com/sagemaker-clarify-processing:1.0'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
205585389593.dkr.ecr.us-east-1.amazonaws.com/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')# Output path '763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.8.3-cu118-<태그> |
0.22.1 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<태그> |
0.21.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<태그> |
0.20.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:1.x'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:<태그> |
2.x | 처리 중 |
663277389841.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
503895931360.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '522234722520.dkr.ecr.us-east-1.amazonaws.com/forecasting-deepar:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
522234722520.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')# Output path '763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.4.2-gpu-py37'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.26.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.26.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.26.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.17.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.17.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.17.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.17.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.12.3 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.12.3 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.12.3 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.12.3 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.11.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.11.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.11.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.11.0 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.10.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.10.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.10.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.10.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.10.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.10.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.10.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.10.2 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.6.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.6.1 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference:<태그> |
4.6.1 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference:<태그> |
4.6.1 | 추론 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.5.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:<태그> |
4.5.0 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:<태그> |
4.4.2 | 훈련 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/ipinsights:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '811284229777.dkr.ecr.us-east-1.amazonaws.com/image-classification:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
811284229777.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:1.5.1-inf-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:<태그> |
1.8 | 추론 | inf | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.9',py_version='py3')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:1.9-inf-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:<태그> |
1.9 | 추론 | inf | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:<태그> |
1.8 | 추론 | inf | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/kmeans:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/knn:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/knn:<태그> |
1 | 훈련, 추론 |
LDA(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='lda',region='us-east-1')# Output path '766337827248.dkr.ecr.us-east-1.amazonaws.com/lda:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
766337827248.dkr.ecr.us-east-1.amazonaws.com/lda:<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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')# Output path '763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:1.4.1-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<태그> |
1.9.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<태그> |
1.9.0 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<태그> |
1.8.0 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<태그> |
1.8.0 | 추론 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<태그> |
1.7.0 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<태그> |
1.7.0 | 추론 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<태그> |
1.7.0 | eia | CPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<태그> |
1.6.0 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<태그> |
1.6.0 | 추론 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<태그> |
1.5.1 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.4.1 | 훈련 | CPU, GPU | py2 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:<태그> |
1.4.1 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving:<태그> |
1.4.1 | 추론 | CPU, GPU | py2 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:<태그> |
1.4.1 | 추론 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:<태그> |
1.4.1 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.4.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving:<태그> |
1.4.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving-eia:<태그> |
1.4.0 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.3.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.3.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-eia:<태그> |
1.3.0 | eia | CPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.2.1 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.2.1 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.1.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.1.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.0.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
1.0.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet:<태그> |
0.12.1 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')# Output path '520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<태그> |
0.11.0 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '156813124566.dkr.ecr.us-east-1.amazonaws.com/sagemaker-model-monitor-analyzer'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
156813124566.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/ntm:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/image-classification-neo:latest'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-mxnet:1.8-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:1.6-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.13 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.12 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.8 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.7 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.6 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:<태그> |
1.5 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:1.15.3-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:<태그> |
2.9.2 | 추론 | CPU, GPU | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/xgboost-neo:latest'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '811284229777.dkr.ecr.us-east-1.amazonaws.com/object-detection:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
811284229777.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/object2vec:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/pca:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')# Output path '763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.8.0-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
2.0.0 | 추론 | CPU, GPU | py310 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<태그> |
2.0.0 | inference_graviton | CPU | py310 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
2.0.0 | 훈련 | CPU, GPU | py310 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.13.1 | 추론 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.13.1 | 훈련 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.12.1 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton:<태그> |
1.12.1 | inference_graviton | CPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.12.1 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.12.0 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.12.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.11.0 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.11.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.10.2 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.10.2 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.10.0 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.10.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.9.1 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.9.1 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.9.0 | 추론 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.9.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.8.1 | 추론 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.8.1 | 훈련 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.8.0 | 추론 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.8.0 | 훈련 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.7.1 | 추론 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.7.1 | 훈련 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.6.0 | 추론 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.6.0 | 훈련 | CPU, GPU | py3, py36 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia:<태그> |
1.5.1 | eia | CPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.5.0 | 추론 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.5.0 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.4.0 | 추론 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.4.0 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia:<태그> |
1.3.1 | eia | CPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.3.1 | 추론 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.3.1 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:<태그> |
1.2.0 | 추론 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:<태그> |
1.2.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<태그> |
1.1.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<태그> |
1.1.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<태그> |
1.0.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<태그> |
1.0.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch:<태그> |
0.4.0 | 추론 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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')# Output path '763104351884.dkr.ecr.us-west-2.amazon.aws.com/pytorch-neuron:1.10.2-neuron-py37-sdk1.19.0-ubuntu18.04'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training-neuron:<태그> |
1.11.0 | 훈련 | TRN | py38 |
PyTorch 트레이닝 컴파일러 (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')# Output path '763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-trcomp-training:1.12.0-gpu-py38-cu113-ubuntu20.04-sagemaker'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training:<태그> |
1.13.1 | 훈련 | GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training:<태그> |
1.12.0 | 훈련 | GPU | py38 |
Random Cut Forest(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='us-east-1')# Output path '382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest:<태그> |
1 | 훈련, 추론 |
레이 PyTorch (DLC)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='ray-pytorch',region='us-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')# Output path '462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-cpu-py36'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<태그> |
1.6.0 | 훈련 | CPU, GPU | py36 |
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<태그> |
0.8.5 | 훈련 | CPU, GPU | py36 |
Scikit-learn(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='us-east-1',version='0.23-1',image_scope='inference')# Output path '683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:0.23-1-cpu-py3'
| 레지스트리 경로 | 버전 | 패키지 버전 | 작업 유형(이미지 범위) |
|---|---|---|---|
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
1.2-1 | 1.2.1 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
1.2-1 | 1.2.1 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
1.0-1 | 1.0.2 | inference_graviton |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
0.23-1 | 0.23.2 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
0.23-1 | 0.23.2 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:<태그> |
0.20.0 | 0.20.0 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '811284229777.dkr.ecr.us-east-1.amazonaws.com/semantic-segmentation:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
811284229777.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1')# Output path '811284229777.dkr.ecr.us-east-1.amazonaws.com/seq2seq:1'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
811284229777.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='3.0',image_scope='processing')# Output path '173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:3.0-cpu'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<태그> |
3.2 | 처리 중 |
173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<태그> |
3.1 | 처리 중 |
173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:<태그> |
3.0 | 처리 중 |
173754725891.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='2.4')# Output path '683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:2.4'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:<태그> |
3.3 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:<태그> |
2.4 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')# Output path '520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:1.12.0-cpu'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.12.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.12.0 | 훈련 | CPU, GPU | py310 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.11.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.11.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.11.0 | 훈련 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.10.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.10.1 | 훈련 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.10.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.9.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.9.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.9.2 | 훈련 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton:<태그> |
2.9.1 | inference_graviton | CPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.8.4 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.8.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.8.0 | 훈련 | CPU, GPU | py39 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.7.1 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.7.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.6.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.6.3 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.6.2 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.6.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.6.0 | 훈련 | CPU, GPU | py38 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.5.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.5.1 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.5.0 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.4.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.4.3 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.4.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.4.1 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.3.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.3.2 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.3.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.3.1 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<태그> |
2.3.0 | eia | CPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.3.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.3.0 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.2.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.2.2 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.2.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.2.1 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.2.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.2.0 | 훈련 | CPU, GPU | py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.1.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.1.3 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.1.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.1.2 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.1.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.1.1 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.1.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.1.0 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.0.4 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.0.4 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.0.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.0.3 | 훈련 | CPU, GPU | py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.0.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.0.2 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.0.1 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.0.1 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<태그> |
2.0.0 | eia | CPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
2.0.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
2.0.0 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.15.5 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.15.5 | 훈련 | CPU, GPU | py3, py36, py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.15.4 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.15.4 | 훈련 | CPU, GPU | py3, py36, py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.15.3 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.15.3 | 훈련 | CPU, GPU | py2, py3, py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.15.2 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.15.2 | 훈련 | CPU, GPU | py2, py3, py37 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<태그> |
1.15.0 | eia | CPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.15.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.15.0 | 훈련 | CPU, GPU | py2, py3 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:<태그> |
1.14.0 | eia | CPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.14.0 | 추론 | CPU, GPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.14.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<태그> |
1.13.1 | 훈련 | CPU, GPU | py2 |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:<태그> |
1.13.1 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<태그> |
1.13.0 | eia | CPU | - |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:<태그> |
1.13.0 | 추론 | CPU, GPU | - |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<태그> |
1.12.0 | eia | CPU | - |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:<태그> |
1.12.0 | 추론 | CPU, GPU | - |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<태그> |
1.12.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<태그> |
1.11.0 | eia | CPU | - |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:<태그> |
1.11.0 | 추론 | CPU, GPU | - |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<태그> |
1.11.0 | 훈련 | CPU, GPU | py2, py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-eia:<태그> |
1.10.0 | eia | CPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.10.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.10.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.9.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.9.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.8.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.8.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.7.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.7.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.6.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.6.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.5.0 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.5.0 | 훈련 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow:<태그> |
1.4.1 | 추론 | CPU, GPU | py2 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')# Output path '462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-cpu-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<태그> |
1.0.0 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<태그> |
0.11.1 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<태그> |
0.11.0 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<태그> |
0.11 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<태그> |
0.10.1 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='1.15.0',instance_type='ml.inf1.6xlarge')# Output path '785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-tensorflow:1.15.0-inf-py3'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-tensorflow:<태그> |
2.5.2 | 추론 | inf | py3 |
785573368785.dkr.ecr.us-east-1.amazonaws.com/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='us-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')# Output path '462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-cpu-py36'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) | 프로세서 유형 | Python 버전 |
|---|---|---|---|---|
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<태그> |
1.6.0 | 훈련 | CPU, GPU | py37 |
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<태그> |
0.8.5 | 훈련 | CPU, GPU | py36 |
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<태그> |
0.8.2 | 훈련 | CPU, GPU | py36 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<태그> |
0.6.5 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<태그> |
0.6 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<태그> |
0.5.3 | 훈련 | CPU, GPU | py3 |
520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<태그> |
0.5 | 훈련 | CPU, GPU | py3 |
VW(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='vw',region='us-east-1',version='8.7.0',image_scope='training')# Output path '462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-cpu'
| 레지스트리 경로 | 버전 | 작업 유형(이미지 범위) |
|---|---|---|
462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<태그> |
8.7.0 | 훈련 |
XGBoost(알고리즘)
SageMaker 레지스트리 경로를 검색하는 Python SDK 예제.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='us-east-1',version='1.5-1')# Output path '683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:1.5-1'
| 레지스트리 경로 | 버전 | 패키지 버전 | 작업 유형(이미지 범위) |
|---|---|---|---|
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.7-1 | 1.7.4 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.7-1 | 1.7.4 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.5-1 | 1.5.2 | inference_graviton |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.3-1 | 1.3.3 | inference_graviton |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.2-2 | 1.2.0 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.2-2 | 1.2.0 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.2-1 | 1.2.0 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.2-1 | 1.2.0 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.0-1 | 1.0.0 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
1.0-1 | 1.0.0 | 훈련 |
811284229777.dkr.ecr.us-east-1.amazonaws.com/xgboost:<태그> |
1 | 0.72 | 추론 |
811284229777.dkr.ecr.us-east-1.amazonaws.com/xgboost:<태그> |
1 | 0.72 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
0.90-2 | 0.90 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
0.90-2 | 0.90 | 훈련 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
0.90-1 | 0.90 | 추론 |
683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:<태그> |
0.90-1 | 0.90 | 훈련 |
