Percorsi del registro Docker e codice di esempio per AWS GovCloud (US-West) (us-gov-west-1) - ECR

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Percorsi del registro Docker e codice di esempio per AWS GovCloud (US-West) (us-gov-west-1)

I seguenti argomenti elencano i parametri per ciascuno degli algoritmi e contenitori di deep learning forniti da Amazon SageMaker AI in questo Regione AWS contesto.

AutoGluon (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='us-gov-west-1',image_scope='inference',version='0.4')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 1.3.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 1.3.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 1.2.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 1.2.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 1.1.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 1.1.1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 1.1.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 1.1.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 1.0.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 1.0.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0.8.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0.8.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0.7.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0.7.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0.6.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0.6.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0.6.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0.6.1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0.5.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,5,2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0,4,3 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,4,3 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0,4,2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,4,2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0,40 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,40 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0,32 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,32 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> 0,31 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> 0,31 Inferenza

BlazingText (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/blazingtext:<tag> 1 inferenza, addestramento

Chainer (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='us-gov-west-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> 5.0.0 inferenza, addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> 4.1.0 inferenza, addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> 4.0.0 inferenza, addestramento CPU, GPU py2, py3

Clarify (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='us-gov-west-1',version='1.0',image_scope='processing')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
598674086554.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-clarify-processing:<tag> 1.0 elaborazione

DJL DeepSpeed (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inferenceIl seguente esempio di AI Python SDK mostra come recuperare un percorso di registro specifico. ----sep----:0.27.0-deepspeed0.12.6-cu121- <tag> 0,27.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.27.0 ----set----:0.26.0-velocità profonda 0.12,6-cu121- <tag> 0,26.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.26.0 ----set----:0.25.0-velocità profonda 0.11.0-cu118- <tag> 0,25.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.25.0 ----set----:0.24.0-deepspeed0.10.0-cu118- <tag> 0.24.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.24.0 ----set----:0.23.0-velocità profonda 0.9.5-cu118- <tag> 0.23.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.23.0 ----set----:0.22.1-velocità profonda 0.9.2-cu118- <tag> 0.22.1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.22.1 ----set----:0.21.0-velocità profonda 0.8.3-cu117- <tag> 0.21.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.21.0 ----set----:0.20.0-velocità profonda 0.7.5-cu116- <tag> 0,20.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference0.20.0 ----set----:0.19.0-velocità profonda 0.7.3-cu113- <tag> 0.19.0 Inferenza

Debugger (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
515509971035.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-debugger-rules:<tag> più recente debugger

Previsioni DeepAR (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/forecasting-deepar:<tag> 1 inferenza, addestramento

Macchine di fattorizzazione (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/factorization-machines:<tag> 1 inferenza, addestramento

Hugging Face (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='us-gov-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.49.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,49,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,48,0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,48,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,46,1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,37,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,36,0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,28,1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,28,1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,26,0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,26,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 4,26,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,17,0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4,17,0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,17,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 4,17,0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4,12,3 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4,12,3 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4,12,3 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 4,12,3 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.11.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4.11.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4.11.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 4.11.0 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 410.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 410.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 410.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 410.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 410.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 410.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 410.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 410.2 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 46.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.6.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.6.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4.6.1 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> 4.6.1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> 4.6.1 Inferenza
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.5.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4.5.0 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> 4.4.2 addestramento
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> 4.4.2 addestramento

IP Insights (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ipinsights:<tag> 1 inferenza, addestramento

Classificazione delle immagini (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification:<tag> 1 inferenza, addestramento

Inferentia MXNet (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='us-gov-west-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> 1.8 inferenza inf py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> 1.5.1 inferenza inf py3

Inferentia PyTorch (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='us-gov-west-1',version='1.9',py_version='py3')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> 1.9 inferenza inf py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> 1.8 inferenza inf py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> 1,7 inferenza inf py3

K-Means (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/kmeans:<tag> 1 inferenza, addestramento

KNN (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='knn',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/knn:<tag> 1 inferenza, addestramento

LDA (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='lda',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/lda:<tag> 1 inferenza, addestramento

Linear Learner (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/linear-learner:<tag> 1 inferenza, addestramento

MXNet (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='us-gov-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> 1.9.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> 1.9.0 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> 1.8.0 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> 1.8.0 inferenza CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> 1.7.0 addestramento CPU, GPU py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> 1.7.0 inferenza CPU, GPU py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> 1.7.0 eia CPU py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> 1.6.0 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> 1.6.0 inferenza CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> 1.5.1 eia CPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.4.1 addestramento CPU, GPU py2
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> 1.4.1 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> 1.4.1 inferenza CPU, GPU py2
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> 1.4.1 inferenza CPU, GPU py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> 1.4.1 eia CPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.4.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> 1.4.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> 1.4.0 eia CPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.3.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.3.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-eia:<tag> 1.3.0 eia CPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.2.1 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.2.1 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.1.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.1.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.0.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 1.0.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 0.12.1 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> 0.12.1 inferenza CPU, GPU py2, py3

MXNet Allenatore (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='us-gov-west-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnetIl seguente esempio di AI Python SDK mostra come recuperare un percorso di registro specifico. ----sep----:coach0.11.0- <tag> 0.11.0 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet: allenatore 0.11.0- ----set ----:allenatore 0.11- <tag> 0,11 addestramento CPU, GPU py3

NTM (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ntm:<tag> 1 inferenza, addestramento

Classificazione delle immagine Neo (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification-neo:<tag> più recente Inferenza

Neo MXNet (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='us-gov-west-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-mxnet:<tag> 1.8 inferenza CPU, GPU py3

Neo PyTorch (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='us-gov-west-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 2.0 Inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.13 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.12 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.8 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1,7 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.6 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.5 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> 1.4 inferenza CPU, GPU py3

Neo Tensorflow (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='us-gov-west-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> 2.9.2 inferenza CPU, GPU py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> 1.15.3 inferenza CPU, GPU py3

Neo XGBoost (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost-neo:<tag> più recente inferenza

Rilevamento degli oggetti (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object-detection:<tag> 1 inferenza, addestramento

Object2Vec (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object2vec:<tag> 1 inferenza, addestramento

PCA (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='pca',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/pca:<tag> 1 inferenza, addestramento

PyTorch (DLC)

Per informazioni sulle PyTorch versioni supportate e non supportate, consulta la tabella dei criteri di supporto del Framework nella AWS Deep Learning Containers Developer Guide.

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='us-gov-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.7.1 addestramento CPU, GPU py312
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.6.0 inferenza CPU, GPU py312
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.6.0 addestramento CPU, GPU py312
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.5.1 inferenza CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.5.1 addestramento CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.4.0 Inferenza CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.4.0 inference_graviton CPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.4.0 addestramento CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.3.0 inferenza CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.3.0 inference_graviton CPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.3.0 addestramento CPU, GPU py311
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.2.1 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.2.0 inferenza CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.2.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.1.0 inferenza CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.1.0 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.1.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.0.1 inferenza CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.0.1 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.0.1 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 2.0.0 inferenza CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 2.0.0 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 2.0.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.13.1 inferenza CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.13.1 addestramento CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.12.1 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> 1.12.1 inference_graviton CPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.12.1 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.12.0 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.12.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.11.0 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.11.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.10.2 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.10.2 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.10.0 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.10.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.9.1 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.9.1 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.9.0 inferenza CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.9.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.8.1 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.8.1 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.8.0 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.8.0 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.7.1 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.7.1 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.6.0 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.6.0 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.5.0 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.5.0 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.4.0 inferenza CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.4.0 addestramento CPU, GPU py2, py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.3.1 inferenza CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.3.1 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> 1.2.0 inferenza CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> 1.2.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 1.1.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 1.1.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 1.0.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 1.0.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 0.4.0 inferenza CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> 0,40 addestramento CPU, GPU py2, py3

Random Cut Forest (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/randomcutforest:<tag> 1 inferenza, addestramento

Scikit-learn (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='us-gov-west-1',version='0.23-1',image_scope='inference')
Percorso Registro di sistema Versione Versione del pacchetto Tipi di processo (ambito di immagine)
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 1,2-1 1.2.1 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 1,2-1 1.2.1 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 1,0-1 1.0.2 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 1,0-1 1.0.2 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 1,0-1 1.0.2 inference_graviton
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 0,23-1 0,23,2 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 0,23-1 0,23,2 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 0,20,0 0,20,0 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> 0,20,0 0,20,0 addestramento

Segmentazione semantica (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/semantic-segmentation:<tag> 1 inferenza, addestramento

Seq2Seq (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='us-gov-west-1')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/seq2seq:<tag> 1 inferenza, addestramento

Spark (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='spark',region='us-gov-west-1',version='3.0',image_scope='processing')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> 3.3 elaborazione
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> 3.2 elaborazione
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> 3.1 elaborazione
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> 3.0 elaborazione
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> 2.4 elaborazione

SparkML Serving (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='us-gov-west-1',version='2.4')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine)
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> 3.3 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> 2.4 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> 2.2 inferenza

Tensorflow (DLC)

Per informazioni sulle TensorFlow versioni supportate e non supportate, consulta la tabella dei criteri di supporto del Framework nella AWS Deep Learning Containers Developer Guide.

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='us-gov-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.19.0 Inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.19.0 addestramento CPU, GPU py312
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.18.0 Inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.18.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.16.2 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2,16,1 Inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> 2,16,1 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2,14,1 Inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> 2,14,1 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2,14,1 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.13.0 Inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> 2.13.0 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.13.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2,12,1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> 2,12.1 inference_graviton CPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.12.0 addestramento CPU, GPU py310
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.11.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.11.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.11.0 addestramento CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 210.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 210.1 addestramento CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.10.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 29.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 29.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 29.2 addestramento CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> 29.1 inference_graviton CPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 28.4 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.8.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.8.0 addestramento CPU, GPU py39
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.7.1 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.7.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 26.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 26.3 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 26.2 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.6.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.6.0 addestramento CPU, GPU py38
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.5.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.5.1 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.5.0 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.4.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.4.3 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.4.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.4.1 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.3.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.3.2 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.3.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.3.1 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> 2.3.0 eia CPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.3.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.3.0 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.2.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.2.2 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.2.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.2.1 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.2.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.2.0 addestramento CPU, GPU py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.1.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.1.3 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.1.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.1.2 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.1.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.1.1 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.1.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.1.0 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.0.4 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.0.4 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.0.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.0.3 addestramento CPU, GPU py3, py36
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.0.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.0.2 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.0.1 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.0.1 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> 2.0.0 eia CPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 2.0.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 2.0.0 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1,15,5 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1,15,5 addestramento CPU, GPU py3, py36, py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.15,4 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.15,4 addestramento CPU, GPU py3, py36, py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.15.3 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.15.3 addestramento CPU, GPU py2, py3, py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.15.2 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.15.2 addestramento CPU, GPU py2, py3, py37
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> 1.15.0 eia CPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.15.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.15.0 addestramento CPU, GPU py2, py3
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> 1.14.0 eia CPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.14.0 inferenza CPU, GPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.14.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> 1.13.1 addestramento CPU, GPU py2
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> 1.13.1 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> 1.13.0 eia CPU -
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> 1.13.0 inferenza CPU, GPU -
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> 1.12.0 eia CPU -
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> 1.12.0 inferenza CPU, GPU -
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> 1.12.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> 1.11.0 eia CPU -
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> 1.11.0 inferenza CPU, GPU -
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> 1.11.0 addestramento CPU, GPU py2, py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> 1.10.0 eia CPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.10.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.10.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.9.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.9.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.8.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.8.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.7.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.7.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.6.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.6.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.5.0 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.5.0 addestramento CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.4.1 inferenza CPU, GPU py2
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> 1.4.1 addestramento CPU, GPU py2

Tensorflow Coach (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='us-gov-west-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflowIl seguente esempio di AI Python SDK mostra come recuperare un percorso di registro specifico. ----sep----:coach0.11.1- <tag> 0.11.1 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:allenatore0.11.1- ----set----:allenatore 0.11.0- <tag> 0.11.0 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow: allenatore 0.11.0- ----set ----:allenatore 0.11- <tag> 0,11 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow0.11 ----sep----:allenatore0.10.1- <tag> 0.10.1 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow0.10.1 ----sep----:allenatore0.10- <tag> 0.10 addestramento CPU, GPU py3

Tensorflow Inferentia (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='us-gov-west-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> 2.5.2 inferenza inf py3
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> 1.15.0 inferenza inf py3

Tensorflow Ray (DLC)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='us-gov-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
Percorso Registro di sistema Versione Tipi di processo (ambito di immagine) Tipi di processori Versioni Python
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflowIl seguente esempio di AI Python SDK mostra come recuperare un percorso di registro specifico. ----sep----:ray0.6.5- <tag> 0.6.5 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow0.6.5 ----sep----:ray0.6- <tag> 0.6 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6- ----sep----:ray0.5.3- <tag> 0.5.3 addestramento CPU, GPU py3
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow0.5.3 ----sep----:ray0.5- <tag> 0,5 addestramento CPU, GPU py3

XGBoost (algoritmo)

Il seguente esempio di SageMaker AI Python SDK mostra come recuperare un percorso di registro specifico.

from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='us-gov-west-1',version='1.5-1')
Percorso Registro di sistema Versione Versione del pacchetto Tipi di processo (ambito di immagine)
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,7-1 1,7,4 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,7-1 1,7,4 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,5-1 1.5.2 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,5-1 1.5.2 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,5-1 1.5.2 inference_graviton
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,3-1 1.3.3 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,3-1 1.3.3 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,3-1 1.3.3 inference_graviton
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,2-2 1.2.0 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,2-2 1.2.0 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,2-1 1.2.0 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,2-1 1.2.0 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,0-1 1.0.0 Inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 1,0-1 1.0.0 addestramento
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost:<tag> 1 0,72 Inferenza
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost:<tag> 1 0,72 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 0,90-2 0.90 inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 0,90-2 0.90 addestramento
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 0,90-1 0.90 inferenza
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> 0,90-1 0.90 addestramento