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Percorsi di registro Docker e codice di esempio per AWS GovCloud (Stati Uniti occidentali) (us-gov-west-1)
I seguenti argomenti elencano i parametri per ciascuno degli algoritmi e Container per il Deep Learning forniti da Amazon SageMaker AI in questa Regione AWS.
Argomenti
AutoGluon (algoritmo)
L’esempio seguente 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> |
0.4.0 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.4.0 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.3.2 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.3.1 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.3.1 | inferenza |
BlazingText (algoritmo)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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-inference:0.27.0-deepspeed0.12.6-cu121-<tag> |
0.27.0 | Inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> |
0.26.0 | Inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> |
0.25.0 | Inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> |
0.24.0 | Inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> |
0.23.0 | Inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> |
0.22.1 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> |
0.21.0 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> |
0.20.0 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> |
0.19.0 | Inferenza |
Debugger (algoritmo)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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> |
4.10.2 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | addestramento |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inferenza |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inferenza |
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-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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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 Coach (DLC)
L’esempio seguente 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-mxnet:coach0.11.0-<tag> |
0.11.0 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> |
0.11 | addestramento | CPU, GPU | py3 |
NTM (algoritmo)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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 | 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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 versioni di PyTorch supportate e non supportate, consulta Framework Support Policy Table nella Guida per gli sviluppatori dei Container AWS per il Deep Learning.
L’esempio seguente 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> |
0.4.0 | addestramento | CPU, GPU | py2, py3 |
Random Cut Forest (algoritmo)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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)
L’esempio seguente 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 versioni di TensorFlow supportate e non supportate, consulta Framework Support Policy Table nella Guida per gli sviluppatori dei Container AWS per il Deep Learning.
L’esempio seguente 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> |
2.10.1 | inferenza | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | 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> |
2.9.3 | inferenza | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | inferenza | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | addestramento | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | inference_graviton | CPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | 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> |
2.6.3 | inferenza | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | addestramento | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | 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)
L’esempio seguente 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-tensorflow:coach0.11.1-<tag> |
0.11.1 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> |
0.11.0 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> |
0.11 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> |
0.10.1 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> |
0.10 | addestramento | CPU, GPU | py3 |
Tensorflow Inferentia (DLC)
L’esempio seguente 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)
L’esempio seguente 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-tensorflow:ray0.6.5-<tag> |
0.6.5 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> |
0.6 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> |
0.5.3 | addestramento | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> |
0,5 | addestramento | CPU, GPU | py3 |
XGBoost (algoritmo)
L’esempio seguente 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 |
