Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.
# Percorsi del registro Docker e codice di esempio
I seguenti argomenti elencano il percorso del registro Docker e altri parametri per ciascuno degli algoritmi e Deep Learning Containers (DLC) forniti da Amazon SageMaker AI. Per ulteriori informazioni, consulta [Usare immagini Docker predefinite SageMaker ](https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-prebuilt.html).
Usa il percorso come segue:
+ Per creare un processo di addestramento ([create\$1training\$1job](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_training_job)), specifica il percorso di registro Docker (`TrainingImage`) e la modalità di input di addestramento (`TrainingInputMode`) per l'immagine di addestramento. Crei un processo di addestramento per addestrare un modello utilizzando uno specifico set di dati.
+ Per creare un modello ([create\$1model](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_model)), specifica il percorso del registro Docker () per l'immagine di inferenza (`Image`). `PrimaryContainer Image` SageMaker L'intelligenza artificiale avvia istanze di calcolo di machine learning basate sulla configurazione dell'endpoint e distribuisce il modello, che include gli artefatti (il risultato dell'addestramento del modello).
+ **Per creare un monitor modello, seleziona la AWS regione, quindi seleziona Model Monitor (algoritmo).** Per ulteriori informazioni, consulta il [contenitore precostruito Amazon SageMaker AI Model Monitor](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-pre-built-container.html).
**Nota**
Le immagini predefinite dei container sono di proprietà di SageMaker AI e in alcuni casi includono codice proprietario. Funzionalità come i processi di formazione ed elaborazione, la trasformazione in batch e l'inferenza in tempo reale utilizzano credenziali di proprietà del servizio per estrarre ed eseguire immagini su istanze di intelligenza artificiale gestite. SageMaker Poiché le credenziali del cliente non vengono utilizzate, le politiche AWS IAM (incluse le politiche di controllo dei servizi e le politiche di controllo delle risorse) che negano le autorizzazioni di Amazon ECR non impediscono l'uso di immagini predefinite.
**Nota**
Per il percorso di registro, usa il tag di versione `:1` per assicurarti di utilizzare una versione stabile dell'algoritmo/DLC. Puoi ospitare in modo affidabile un modello preparato utilizzando un'immagine con il tag `:1` sull'immagine di inferenza che include il tag `:1`. L'utilizzo del `:latest` tag nel percorso di registro fornisce la maggior parte delle up-to-date versioni dell'algoritmo/DLC, ma potrebbe causare problemi di compatibilità con le versioni precedenti. Evita di utilizzare il tag `:latest` per motivi di produzione.
**Importante**
Quando recuperate l'URI dell' XGBoost immagine SageMaker AI, non utilizzate `:latest` o `:1` come tag URI dell'immagine. È necessario specificare una delle [versioni supportate](https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost.html#xgboost-supported-versions) per scegliere il XGBoost contenitore SageMaker gestito dall'intelligenza artificiale con la versione del XGBoost pacchetto nativo che si desidera utilizzare. Per trovare la versione del pacchetto migrata nei XGBoost contenitori SageMaker AI, scegli la tua, Regione AWS quindi vai alla sezione **XGBoost (algoritmo)**.
Per trovare il percorso del registro, scegli la AWS regione, quindi scegli l'algoritmo o il DLC.
**Topics**
+ [Stati Uniti orientali (Virginia settentrionale)](ecr-us-east-1.md)
+ [Stati Uniti orientali (Ohio)](ecr-us-east-2.md)
+ [Stati Uniti occidentali (California settentrionale)](ecr-us-west-1.md)
+ [US West (Oregon)](ecr-us-west-2.md)
+ [Africa (Città del Capo)](ecr-af-south-1.md)
+ [Asia Pacifico (Hong Kong)](ecr-ap-east-1.md)
+ [Percorsi di registro Docker e codice di esempio per (ap-east-2)](ecr-ap-east-2.md)
+ [Asia Pacific (Hyderabad)](ecr-ap-south-2.md)
+ [Asia Pacifico (Giacarta)](ecr-ap-southeast-3.md)
+ [Asia Pacifico (Malesia)](ecr-ap-southeast-5.md)
+ [Asia Pacifico (Melbourne)](ecr-ap-southeast-4.md)
+ [Asia Pacifico (Mumbai)](ecr-ap-south-1.md)
+ [Asia Pacifico (Osaka-Locale)](ecr-ap-northeast-3.md)
+ [Asia Pacifico (Seoul)](ecr-ap-northeast-2.md)
+ [Asia Pacifico (Singapore)](ecr-ap-southeast-1.md)
+ [Asia Pacifico (Sydney)](ecr-ap-southeast-2.md)
+ [Asia Pacifico (Thailandia)](ecr-ap-southeast-7.md)
+ [Asia Pacifico (Tokyo)](ecr-ap-northeast-1.md)
+ [Canada (Centrale)](ecr-ca-central-1.md)
+ [Canada occidentale (Calgary)](ecr-ca-west-1.md)
+ [Cina (Pechino)](ecr-cn-north-1.md)
+ [Cina (Ningxia)](ecr-cn-northwest-1.md)
+ [Europa (Francoforte)](ecr-eu-central-1.md)
+ [Europa (Irlanda)](ecr-eu-west-1.md)
+ [Europa (Londra)](ecr-eu-west-2.md)
+ [Europa (Milano)](ecr-eu-south-1.md)
+ [Europa (Parigi)](ecr-eu-west-3.md)
+ [Europa (Spagna)](ecr-eu-south-2.md)
+ [Europa (Stoccolma)](ecr-eu-north-1.md)
+ [Europa (Zurigo)](ecr-eu-central-2.md)
+ [Israele (Tel Aviv)](ecr-il-central-1.md)
+ [Messico (centrale)](ecr-mx-central-1.md)
+ [Medio Oriente (Bahrein)](ecr-me-south-1.md)
+ [Medio Oriente (Emirati Arabi Uniti)](ecr-me-central-1.md)
+ [Sud America (San Paolo)](ecr-sa-east-1.md)
+ [AWS GovCloud (Stati Uniti orientali)](ecr-us-gov-east-1.md)
+ [AWS GovCloud (Stati Uniti occidentali)](ecr-us-gov-west-1.md)
# Percorsi del registro Docker e codice di esempio per Stati Uniti orientali (Virginia settentrionale) (us-east-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.
**Topics**
+ [AutoGluon (algoritmo)](#autogluon-us-east-1)
+ [BlazingText (algoritmo)](#blazingtext-us-east-1)
+ [Chainer (DLC)](#chainer-us-east-1)
+ [Clarify (algoritmo)](#clarify-us-east-1)
+ [DJL DeepSpeed (algoritmo)](#djl-deepspeed-us-east-1)
+ [Data Wrangler (algoritmo)](#data-wrangler-us-east-1)
+ [Debugger (algoritmo)](#debugger-us-east-1)
+ [Previsioni DeepAR (algoritmo)](#forecasting-deepar-us-east-1)
+ [Macchine di fattorizzazione (algoritmo)](#factorization-machines-us-east-1)
+ [Hugging Face (algoritmo)](#huggingface-us-east-1)
+ [IP Insights (algoritmo)](#ipinsights-us-east-1)
+ [Classificazione delle immagini (algoritmo)](#image-classification-us-east-1)
+ [Inferentia MXNet (DLC)](#inferentia-mxnet-us-east-1)
+ [Inferentia PyTorch (DLC)](#inferentia-pytorch-us-east-1)
+ [K-Means (algoritmo)](#kmeans-us-east-1)
+ [KNN (algoritmo)](#knn-us-east-1)
+ [LDA (algoritmo)](#lda-us-east-1)
+ [Linear Learner (algoritmo)](#linear-learner-us-east-1)
+ [MXNet (DLC)](#mxnet-us-east-1)
+ [MXNet Coach (DLC)](#coach-mxnet-us-east-1)
+ [Monitoraggio modelli (algoritmo)](#model-monitor-us-east-1)
+ [NTM (algoritmo)](#ntm-us-east-1)
+ [Classificazione delle immagine Neo (algoritmo)](#image-classification-neo-us-east-1)
+ [Neo MXNet (DLC)](#neo-mxnet-us-east-1)
+ [Neo PyTorch (DLC)](#neo-pytorch-us-east-1)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-us-east-1)
+ [Neo XGBoost (algoritmo)](#xgboost-neo-us-east-1)
+ [Rilevamento degli oggetti (algoritmo)](#object-detection-us-east-1)
+ [Object2Vec (algoritmo)](#object2vec-us-east-1)
+ [PCA (algoritmo)](#pca-us-east-1)
+ [PyTorch (DLC)](#pytorch-us-east-1)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-us-east-1)
+ [Compilatore addestramento PyTorch (DLC)](#pytorch-training-compiler-us-east-1)
+ [Random Cut Forest (algoritmo)](#randomcutforest-us-east-1)
+ [Ray PyTorch (DLC)](#ray-pytorch-us-east-1)
+ [Scikit-learn (algoritmo)](#sklearn-us-east-1)
+ [Segmentazione semantica (algoritmo)](#semantic-segmentation-us-east-1)
+ [Seq2Seq (algoritmo)](#seq2seq-us-east-1)
+ [Spark (algoritmo)](#spark-us-east-1)
+ [SparkML Serving (algoritmo)](#sparkml-serving-us-east-1)
+ [Tensorflow (DLC)](#tensorflow-us-east-1)
+ [Tensorflow Coach (DLC)](#coach-tensorflow-us-east-1)
+ [Tensorflow Inferentia (DLC)](#inferentia-tensorflow-us-east-1)
+ [Tensorflow Ray (DLC)](#ray-tensorflow-us-east-1)
+ [VW (algoritmo)](#vw-us-east-1)
+ [XGBoost (algoritmo)](#xgboost-us-east-1)
## 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-east-1',image_scope='inference',version='0.4')
# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference:0.4-cpu-py38'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 1.3.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 1.3.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 1.2.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 1.2.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 1.1.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 1.1.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 1.1.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 1.1.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 1.0.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 1.0.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.8.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.8.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.7.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.7.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.6.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.6.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.6.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.6.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.5.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.5.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.4.3 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.4.3 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.4.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.4.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.4.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.4.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.3.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 0.3.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-training: | 0.3.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/autogluon-inference: | 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-east-1')
# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/blazingtext:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/blazingtext: | 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-east-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer:5.0.0-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer: | 5.0.0 | inferenza, addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer: | 4.1.0 | inferenza, addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-chainer: | 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-east-1',version='1.0',image_scope='processing')
# Output path
'205585389593.dkr.ecr.us-east-1.amazonaws.com/sagemaker-clarify-processing:1.0'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 205585389593.dkr.ecr.us-east-1.amazonaws.com/sagemaker-clarify-processing: | 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')
# Output path
'763104351884.dkr.ecr.us-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121- | 0.27.0 | Inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121- | 0.26.0 | Inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118- | 0.25.0 | Inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118- | 0.24.0 | Inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118- | 0.23.0 | Inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118- | 0.22.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117- | 0.21.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116- | 0.20.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113- | 0.19.0 | inferenza |
## Data Wrangler (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='data-wrangler',region='us-east-1')
# Output path
'663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container:1.x'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container: | 3.x | elaborazione |
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container: | 2.x | elaborazione |
| 663277389841.dkr.ecr.us-east-1.amazonaws.com/sagemaker-data-wrangler-container: | 1.x | elaborazione |
## 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-east-1')
# Output path
'503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules: | 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-east-1')
# Output path
'522234722520.dkr.ecr.us-east-1.amazonaws.com/forecasting-deepar:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 522234722520.dkr.ecr.us-east-1.amazonaws.com/forecasting-deepar: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines: | 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-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.4.2-gpu-py37'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.49.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.49.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.48.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.48.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.46.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.37.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.36.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.28.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.28.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.26.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.26.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.26.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.17.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.17.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.17.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.17.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.12.3 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.12.3 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.12.3 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.12.3 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.11.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.11.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.11.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.11.0 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.6.1 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference: | 4.6.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-inference: | 4.6.1 | inferenza |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.5.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 4.5.0 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training: | 4.4.2 | addestramento |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/ipinsights:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/ipinsights: | 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-east-1')
# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/image-classification:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/image-classification: | 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-east-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet:1.5.1-inf-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet: | 1.8 | inferenza | inf | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-mxnet: | 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-east-1',version='1.9',py_version='py3')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch:1.9-inf-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch: | 1.9 | inferenza | inf | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch: | 1.8 | inferenza | inf | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-neo-pytorch: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/kmeans:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/kmeans: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/knn:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/knn: | 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-east-1')
# Output path
'766337827248.dkr.ecr.us-east-1.amazonaws.com/lda:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 766337827248.dkr.ecr.us-east-1.amazonaws.com/lda: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner: | 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-east-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference:1.4.1-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training: | 1.9.0 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference: | 1.9.0 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training: | 1.8.0 | addestramento | CPU, GPU | py37 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference: | 1.8.0 | inferenza | CPU, GPU | py37 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training: | 1.7.0 | addestramento | CPU, GPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference: | 1.7.0 | inferenza | CPU, GPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia: | 1.7.0 | eia | CPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training: | 1.6.0 | addestramento | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference: | 1.6.0 | inferenza | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia: | 1.5.1 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.4.1 | addestramento | CPU, GPU | py2 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training: | 1.4.1 | addestramento | CPU, GPU | py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving: | 1.4.1 | inferenza | CPU, GPU | py2 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference: | 1.4.1 | inferenza | CPU, GPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia: | 1.4.1 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.4.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving: | 1.4.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-serving-eia: | 1.4.0 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.3.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.3.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet-eia: | 1.3.0 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.2.1 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.2.1 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.1.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.1.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.0.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 1.0.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 0.12.1 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-mxnet: | 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-east-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0- | 0.11.0 | addestramento | CPU, GPU | py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11- | 0.11 | addestramento | CPU, GPU | py3 |
## Monitoraggio modelli (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='model-monitor',region='us-east-1')
# Output path
'156813124566.dkr.ecr.us-east-1.amazonaws.com/sagemaker-model-monitor-analyzer'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 156813124566.dkr.ecr.us-east-1.amazonaws.com/sagemaker-model-monitor-analyzer: | | monitoraggio |
## 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/ntm:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/ntm: | 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-east-1')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/image-classification-neo:latest'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/image-classification-neo: | 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-east-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-mxnet:1.8-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-mxnet: | 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-east-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch:1.6-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 2 | Inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1.13 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1.12 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1.8 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1,7 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1.6 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 1.5 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-pytorch: | 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-east-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow:1.15.3-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow: | 2.9.2 | inferenza | CPU, GPU | py3 |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/sagemaker-inference-tensorflow: | 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-east-1')
# Output path
'785573368785.dkr.ecr.us-east-1.amazonaws.com/xgboost-neo:latest'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 785573368785.dkr.ecr.us-east-1.amazonaws.com/xgboost-neo: | 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-east-1')
# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/object-detection:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/object-detection: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/object2vec:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/object2vec: | 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/pca:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/pca: | 1 | inferenza, addestramento |
## PyTorch (DLC)
Per informazioni sulle versioni di PyTorch supportate e non supportate, consulta [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) 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-east-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
# Output path
'763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.8.0-cpu-py3'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.7.1 | addestramento | CPU, GPU | py312 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.6.0 | inferenza | CPU, GPU | py312 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.6.0 | addestramento | CPU, GPU | py312 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.5.1 | inferenza | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.5.1 | addestramento | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.4.0 | Inferenza | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.4.0 | inference\$1graviton | CPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.4.0 | addestramento | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.3.0 | inferenza | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.3.0 | inference\$1graviton | CPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.3.0 | addestramento | CPU, GPU | py311 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.2.1 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.2.0 | inferenza | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.2.0 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.1.0 | inferenza | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.1.0 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.1.0 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.0.1 | inferenza | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.0.1 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.0.1 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 2.0.0 | inferenza | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 2.0.0 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 2.0.0 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.13.1 | inferenza | CPU, GPU | py39 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.13.1 | addestramento | CPU, GPU | py39 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.12.1 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-graviton: | 1.12.1 | inference\$1graviton | CPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.12.1 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.12.0 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.12.0 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.11.0 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.11.0 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.10.2 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.10.2 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.10.0 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.10.0 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.9.1 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.9.1 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.9.0 | inferenza | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.9.0 | addestramento | CPU, GPU | py38 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.8.1 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.8.1 | addestramento | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.8.0 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.8.0 | addestramento | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.7.1 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.7.1 | addestramento | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.6.0 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.6.0 | addestramento | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia: | 1.5.1 | eia | CPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.5.0 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.5.0 | addestramento | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.4.0 | inferenza | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.4.0 | addestramento | CPU, GPU | py2, py3, py36 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia: | 1.3.1 | eia | CPU | py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.3.1 | inferenza | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.3.1 | addestramento | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference: | 1.2.0 | inferenza | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training: | 1.2.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 1.1.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 1.1.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 1.0.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 1.0.0 | addestramento | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 0.4.0 | inferenza | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-pytorch: | 0.4.0 | addestramento | CPU, GPU | py2, py3 |
## PyTorch Neuron (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='pytorch-neuron',region='us-west-2', image_scope='inference')
# Output path
'763104351884.dkr.ecr.us-west-2.amazon.aws.com/pytorch-neuron:1.10.2-neuron-py37-sdk1.19.0-ubuntu18.04'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training-neuron: | 1.11.0 | addestramento | TRN | py38 |
## Compilatore addestramento 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='pytorch-training-compiler',region='us-west-2', version='py38')
# Output path
'763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-trcomp-training:1.12.0-gpu-py38-cu113-ubuntu20.04-sagemaker'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training: | 1.13.1 | addestramento | GPU | py39 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-trcomp-training: | 1.12.0 | addestramento | GPU | py38 |
## 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-east-1')
# Output path
'382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 382416733822.dkr.ecr.us-east-1.amazonaws.com/randomcutforest: | 1 | inferenza, addestramento |
## Ray 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='ray-pytorch',region='us-east-1',version='0.8.5',instance_type='ml.c5.4xlarge')
# Output path
'462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-cpu-py36'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch- | 1.6.0 | addestramento | CPU, GPU | py36 |
| 462105765813.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch- | 0.8.5 | addestramento | CPU, GPU | py36 |
## 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-east-1',version='0.23-1',image_scope='inference')
# Output path
'683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn:0.23-1-cpu-py3'
```
| Percorso Registro di sistema | Versione | Versione del pacchetto | Tipi di processo (ambito di immagine) |
| --- | --- | --- | --- |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | addestramento |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | addestramento |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inference\$1graviton |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | addestramento |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-scikit-learn: | 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-east-1')
# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/semantic-segmentation:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/semantic-segmentation: | 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-east-1')
# Output path
'811284229777.dkr.ecr.us-east-1.amazonaws.com/seq2seq:1'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 811284229777.dkr.ecr.us-east-1.amazonaws.com/seq2seq: | 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-east-1',version='3.0',image_scope='processing')
# Output path
'173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing:3.0-cpu'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing: | 3.3 | elaborazione |
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing: | 3.2 | elaborazione |
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing: | 3.1 | elaborazione |
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing: | 3.0 | elaborazione |
| 173754725891.dkr.ecr.us-east-1.amazonaws.com/sagemaker-spark-processing: | 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-east-1',version='2.4')
# Output path
'683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving:2.4'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) |
| --- | --- | --- |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving: | 3.3 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving: | 2.4 | inferenza |
| 683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-sparkml-serving: | 2.2 | inferenza |
## Tensorflow (DLC)
Per informazioni sulle versioni di TensorFlow supportate e non supportate, consulta [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) 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-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
# Output path
'520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-tensorflow-serving:1.12.0-cpu'
```
| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference: | 2.19.0 | Inferenza | CPU, GPU | - |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training: | 2.19.0 | addestramento | CPU, GPU | py312 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference: | 2.18.0 | Inferenza | CPU, GPU | - |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training: | 2.18.0 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training: | 2.16.2 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference: | 2.16.1 | Inferenza | CPU, GPU | - |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton: | 2.16.1 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference: | 2.14.1 | Inferenza | CPU, GPU | - |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton: | 2.14.1 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training: | 2.14.1 | addestramento | CPU, GPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference: | 2.13.0 | Inferenza | CPU, GPU | - |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-graviton: | 2.13.0 | inference\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training: