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# Percorsi di registro Docker e codice di esempio per Israele (Tel Aviv) (il-central-1)
<a name="ecr-il-central-1"></a>

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

**Topics**
+ [AutoGluon (algoritmo)](#autogluon-il-central-1)
+ [BlazingText (algoritmo)](#blazingtext-il-central-1)
+ [DJL DeepSpeed (algoritmo)](#djl-deepspeed-il-central-1)
+ [Data Wrangler (algoritmo)](#data-wrangler-il-central-1)
+ [Previsioni DeepAR (algoritmo)](#forecasting-deepar-il-central-1)
+ [Macchine di fattorizzazione (algoritmo)](#factorization-machines-il-central-1)
+ [Hugging Face (algoritmo)](#huggingface-il-central-1)
+ [IP Insights (algoritmo)](#ipinsights-il-central-1)
+ [Classificazione delle immagini (algoritmo)](#image-classification-il-central-1)
+ [Inferentia MXNet (DLC)](#inferentia-mxnet-il-central-1)
+ [Inferentia PyTorch (DLC)](#inferentia-pytorch-il-central-1)
+ [K-Means (algoritmo)](#kmeans-il-central-1)
+ [KNN (algoritmo)](#knn-il-central-1)
+ [Linear Learner (algoritmo)](#linear-learner-il-central-1)
+ [MXNet (DLC)](#mxnet-il-central-1)
+ [Monitoraggio modelli (algoritmo)](#model-monitor-il-central-1)
+ [NTM (algoritmo)](#ntm-il-central-1)
+ [Classificazione delle immagine Neo (algoritmo)](#image-classification-neo-il-central-1)
+ [Neo MXNet (DLC)](#neo-mxnet-il-central-1)
+ [Neo PyTorch (DLC)](#neo-pytorch-il-central-1)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-il-central-1)
+ [Neo XGBoost (algoritmo)](#xgboost-neo-il-central-1)
+ [Rilevamento degli oggetti (algoritmo)](#object-detection-il-central-1)
+ [Object2Vec (algoritmo)](#object2vec-il-central-1)
+ [PCA (algoritmo)](#pca-il-central-1)
+ [PyTorch (DLC)](#pytorch-il-central-1)
+ [PyTorch Neurone (DLC)](#pytorch-neuron-il-central-1)
+ [PyTorch Training Compiler (DLC)](#pytorch-training-compiler-il-central-1)
+ [Random Cut Forest (algoritmo)](#randomcutforest-il-central-1)
+ [Scikit-learn (algoritmo)](#sklearn-il-central-1)
+ [Segmentazione semantica (algoritmo)](#semantic-segmentation-il-central-1)
+ [Seq2Seq (algoritmo)](#seq2seq-il-central-1)
+ [Spark (algoritmo)](#spark-il-central-1)
+ [Tensorflow (DLC)](#tensorflow-il-central-1)
+ [Inferentia Tensorflow (DLC)](#inferentia-tensorflow-il-central-1)
+ [XGBoost (algoritmo)](#xgboost-il-central-1)

## AutoGluon (algoritmo)
<a name="autogluon-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='il-central-1',image_scope='inference',version='0.4')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 1.3.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 1.3.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 1.2.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 1.2.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 1.1.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 1.1.1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 1.1.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 1.1.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 1.0.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 1.0.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0.8.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0.8.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0.7.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0.7.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0.6.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0.6.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0.6.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0.6.1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0.5.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,5,2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0,4,3 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,4,3 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0,4,2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,4,2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0,40 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,40 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0,32 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,32 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{<tag>}} | 0,31 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{<tag>}} | 0,31 | inferenza | 

## BlazingText (algoritmo)
<a name="blazingtext-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext:{{<tag>}} | 1 | inferenza, addestramento | 

## DJL DeepSpeed (algoritmo)
<a name="djl-deepspeed-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inferenceIl seguente esempio di AI Python SDK mostra come recuperare un percorso di registro specifico. ----sep----:0.27.0-deepspeed0.12.6-cu121- {{<tag>}} | 0,27.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.27.0 ----set----:0.26.0-velocità profonda 0.12,6-cu121- {{<tag>}} | 0,26.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.26.0 ----set----:0.25.0-velocità profonda 0.11.0-cu118- {{<tag>}} | 0,25.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.25.0 ----set----:0.24.0-deepspeed0.10.0-cu118- {{<tag>}} | 0.24.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.24.0 ----set----:0.23.0-velocità profonda 0.9.5-cu118- {{<tag>}} | 0.23.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.23.0 ----set----:0.22.1-velocità profonda 0.9.2-cu118- {{<tag>}} | 0.22.1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.22.1 ----set----:0.21.0-velocità profonda 0.8.3-cu117- {{<tag>}} | 0.21.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.21.0 ----set----:0.20.0-velocità profonda 0.7.5-cu116- {{<tag>}} | 0.20.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference0.20.0 ----set----:0.19.0-velocità profonda 0.7.3-cu113- {{<tag>}} | 0.19.0 | inferenza | 

## Data Wrangler (algoritmo)
<a name="data-wrangler-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container:{{<tag>}} | 3.x | elaborazione | 

## Previsioni DeepAR (algoritmo)
<a name="forecasting-deepar-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/forecasting-deepar:{{<tag>}} | 1 | inferenza, addestramento | 

## Macchine di fattorizzazione (algoritmo)
<a name="factorization-machines-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/factorization-machines:{{<tag>}} | 1 | inferenza, addestramento | 

## Hugging Face (algoritmo)
<a name="huggingface-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='il-central-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) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.49.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,49,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,48,0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,48,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,46,1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,37,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,36,0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,28,1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,28,1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,26,0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,26,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 4,26,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,17,0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4,17,0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,17,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 4,17,0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4,12,3 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4,12,3 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4,12,3 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 4,12,3 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.11.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4.11.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4.11.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 4.11.0 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 410.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 410.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 410.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 410.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 410.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 410.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 410.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 410.2 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 46.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.6.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.6.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4.6.1 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{<tag>}} | 4.6.1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{<tag>}} | 4.6.1 | inferenza | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.5.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4.5.0 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{<tag>}} | 4.4.2 | addestramento | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{<tag>}} | 4.4.2 | addestramento | 

## IP Insights (algoritmo)
<a name="ipinsights-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ipinsights:{{<tag>}} | 1 | inferenza, addestramento | 

## Classificazione delle immagini (algoritmo)
<a name="image-classification-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/image-classification:{{<tag>}} | 1 | inferenza, addestramento | 

## Inferentia MXNet (DLC)
<a name="inferentia-mxnet-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:{{<tag>}} | 1.8 | inferenza | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:{{<tag>}} | 1.5.1 | inferenza | inf | py3 | 

## Inferentia PyTorch (DLC)
<a name="inferentia-pytorch-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='il-central-1',version='1.9',py_version='py3')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<tag>}} | 1.9 | inferenza | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<tag>}} | 1.8 | inferenza | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{<tag>}} | 1,7 | inferenza | inf | py3 | 

## K-Means (algoritmo)
<a name="kmeans-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/kmeans:{{<tag>}} | 1 | inferenza, addestramento | 

## KNN (algoritmo)
<a name="knn-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn:{{<tag>}} | 1 | inferenza, addestramento | 

## Linear Learner (algoritmo)
<a name="linear-learner-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/linear-learner:{{<tag>}} | 1 | inferenza, addestramento | 

## MXNet (DLC)
<a name="mxnet-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<tag>}} | 1.9.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<tag>}} | 1.9.0 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<tag>}} | 1.8.0 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<tag>}} | 1.8.0 | inferenza | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<tag>}} | 1.7.0 | addestramento | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<tag>}} | 1.7.0 | inferenza | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<tag>}} | 1.7.0 | eia | CPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<tag>}} | 1.6.0 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<tag>}} | 1.6.0 | inferenza | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<tag>}} | 1.5.1 | eia | CPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{<tag>}} | 1.4.1 | addestramento | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{<tag>}} | 1.4.1 | inferenza | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{<tag>}} | 1.4.1 | eia | CPU | py2, py3 | 

## Monitoraggio modelli (algoritmo)
<a name="model-monitor-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 843974653677.dkr.ecr.il-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:{{<tag>}} |  | monitoraggio | 

## NTM (algoritmo)
<a name="ntm-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ntm:{{<tag>}} | 1 | inferenza, addestramento | 

## Classificazione delle immagine Neo (algoritmo)
<a name="image-classification-neo-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/image-classification-neo:{{<tag>}} | più recente | inferenza | 

## Neo MXNet (DLC)
<a name="neo-mxnet-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-mxnet:{{<tag>}} | 1.8 | inferenza | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
<a name="neo-pytorch-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 2.0 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.13 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.12 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.8 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1,7 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.6 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.5 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{<tag>}} | 1.4 | inferenza | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
<a name="neo-tensorflow-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:{{<tag>}} | 2.9.2 | inferenza | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:{{<tag>}} | 1.15.3 | inferenza | CPU, GPU | py3 | 

## Neo XGBoost (algoritmo)
<a name="xgboost-neo-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/xgboost-neo:{{<tag>}} | più recente | inferenza | 

## Rilevamento degli oggetti (algoritmo)
<a name="object-detection-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object-detection:{{<tag>}} | 1 | inferenza, addestramento | 

## Object2Vec (algoritmo)
<a name="object2vec-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object2vec:{{<tag>}} | 1 | inferenza, addestramento | 

## PCA (algoritmo)
<a name="pca-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/pca:{{<tag>}} | 1 | inferenza, addestramento | 

## PyTorch (DLC)
<a name="pytorch-il-central-1"></a>

Per informazioni sulle PyTorch versioni supportate e non supportate, consulta la [tabella dei criteri di supporto del Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) nella *AWS Deep Learning Containers Developer Guide*.

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.7.1 | addestramento | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.6.0 | inferenza | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.6.0 | addestramento | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.5.1 | inferenza | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.5.1 | addestramento | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.4.0 | inferenza | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.4.0 | inference\_graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.4.0 | addestramento | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.3.0 | inferenza | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.3.0 | inference\_graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.3.0 | addestramento | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.2.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.2.0 | inferenza | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.2.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.1.0 | inferenza | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.1.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.1.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.0.1 | inferenza | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.0.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.0.1 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 2.0.0 | inferenza | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 2.0.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 2.0.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.13.1 | inferenza | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.13.1 | addestramento | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.12.1 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{<tag>}} | 1.12.1 | inference\_graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.12.1 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.12.0 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.12.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.11.0 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.11.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.10.2 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.10.2 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.10.0 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.10.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.9.1 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.9.1 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.9.0 | inferenza | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.9.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.8.1 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.8.1 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.8.0 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.8.0 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.7.1 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.7.1 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.6.0 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.6.0 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.5.0 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.5.0 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.4.0 | inferenza | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.4.0 | addestramento | CPU, GPU | py2, py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.3.1 | inferenza | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.3.1 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{<tag>}} | 1.2.0 | inferenza | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{<tag>}} | 1.2.0 | addestramento | CPU, GPU | py2, py3 | 

## PyTorch Neurone (DLC)
<a name="pytorch-neuron-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron:{{<tag>}} | 1.11.0 | addestramento | TRN | py38 | 

## PyTorch Training Compiler (DLC)
<a name="pytorch-training-compiler-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | Tipi di processori | Versioni Python | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:{{<tag>}} | 1.13.1 | addestramento | GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:{{<tag>}} | 1.12.0 | addestramento | GPU | py38 | 

## Random Cut Forest (algoritmo)
<a name="randomcutforest-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest:{{<tag>}} | 1 | inferenza, addestramento | 

## Scikit-learn (algoritmo)
<a name="sklearn-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='il-central-1',version='0.23-1',image_scope='inference')
```


| Percorso Registro di sistema | Versione | Versione del pacchetto | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 1.2-1 | 1.2.1 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 1,2-1 | 1.2.1 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 1,0-1 | 1.0.2 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 1,0-1 | 1.0.2 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 1,0-1 | 1.0.2 | inference\_graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 0,23-1 | 0,23,2 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 0,23-1 | 0,23,2 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 0,20,0 | 0,20,0 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{<tag>}} | 0,20,0 | 0,20,0 | addestramento | 

## Segmentazione semantica (algoritmo)
<a name="semantic-segmentation-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/semantic-segmentation:{{<tag>}} | 1 | inferenza, addestramento | 

## Seq2Seq (algoritmo)
<a name="seq2seq-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='il-central-1')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/seq2seq:{{<tag>}} | 1 | inferenza, addestramento | 

## Spark (algoritmo)
<a name="spark-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='il-central-1',version='3.0',image_scope='processing')
```


| Percorso Registro di sistema | Versione | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<tag>}} | 3.3 | elaborazione | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<tag>}} | 3.2 | elaborazione | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<tag>}} | 3.1 | elaborazione | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<tag>}} | 3.0 | elaborazione | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{<tag>}} | 2.4 | elaborazione | 

## Tensorflow (DLC)
<a name="tensorflow-il-central-1"></a>

Per informazioni sulle TensorFlow versioni supportate e non supportate, consulta la [tabella dei criteri di supporto del Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) nella *AWS Deep Learning Containers Developer Guide*.

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.19.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.19.0 | addestramento | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.18.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.18.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.16.2 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2,16,1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<tag>}} | 2,16,1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2,14,1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<tag>}} | 2,14,1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2,14,1 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.13.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<tag>}} | 2.13.0 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.13.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2,12,1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<tag>}} | 2,12.1 | inference\_graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.12.0 | addestramento | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.11.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.11.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.11.0 | addestramento | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 210.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 210.1 | addestramento | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.10.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 29.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 29.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 29.2 | addestramento | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{<tag>}} | 29.1 | inference\_graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 28.4 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.8.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.8.0 | addestramento | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.7.1 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.7.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 26.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 26.3 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 26.2 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.6.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.6.0 | addestramento | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.5.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.5.1 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.5.0 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.4.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.4.3 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.4.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.4.1 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.3.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.3.2 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.3.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.3.1 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<tag>}} | 2.3.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.3.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.3.0 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.2.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.2.2 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.2.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.2.1 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.2.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.2.0 | addestramento | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.1.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.1.3 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.1.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.1.2 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.1.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.1.1 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.1.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.1.0 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.0.4 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.0.4 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.0.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.0.3 | addestramento | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.0.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.0.2 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.0.1 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.0.1 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<tag>}} | 2.0.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 2.0.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 2.0.0 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1,15,5 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1,15,5 | addestramento | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.15,4 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.15,4 | addestramento | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.15.3 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.15.3 | addestramento | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.15.2 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.15.2 | addestramento | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<tag>}} | 1.15.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.15.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.15.0 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{<tag>}} | 1.14.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.14.0 | inferenza | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.14.0 | addestramento | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{<tag>}} | 1.13.1 | addestramento | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{<tag>}} | 1.13.0 | inferenza | CPU, GPU | - | 

## Inferentia Tensorflow (DLC)
<a name="inferentia-tensorflow-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='il-central-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 | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:{{<tag>}} | 2.5.2 | inferenza | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:{{<tag>}} | 1.15.0 | inferenza | inf | py3 | 

## XGBoost (algoritmo)
<a name="xgboost-il-central-1"></a>

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

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='il-central-1',version='1.5-1')
```


| Percorso Registro di sistema | Versione | Versione del pacchetto | Tipi di processo (ambito di immagine) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1.7-1 | 1,7,4 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,7-1 | 1,7,4 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,5-1 | 1.5.2 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,5-1 | 1.5.2 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,5-1 | 1.5.2 | inference\_graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,3-1 | 1.3.3 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,3-1 | 1.3.3 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,3-1 | 1.3.3 | inference\_graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,2-2 | 1.2.0 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,2-2 | 1.2.0 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,2-1 | 1.2.0 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,2-1 | 1.2.0 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,0-1 | 1.0.0 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 1,0-1 | 1.0.0 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 0,90-2 | 0.90 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 0,90-2 | 0.90 | addestramento | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 0,90-1 | 0.90 | inferenza | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:{{<tag>}} | 0,90-1 | 0.90 | addestramento | 