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# Rutas de registro de Docker y código de ejemplo para Este de EE. UU. (Ohio) (us-east-2)
<a name="ecr-us-east-2"></a>

En los siguientes temas se enumeran los parámetros de cada uno de los algoritmos y contenedores de aprendizaje profundo que proporciona Amazon SageMaker AI en esta Región de AWS.

**Topics**
+ [AutoGluon (algoritmo)](#autogluon-us-east-2)
+ [BlazingText (algoritmo)](#blazingtext-us-east-2)
+ [Chainer (DLC)](#chainer-us-east-2)
+ [Clarify (algoritmo)](#clarify-us-east-2)
+ [DJL DeepSpeed (algoritmo)](#djl-deepspeed-us-east-2)
+ [Data Wrangler (algoritmo)](#data-wrangler-us-east-2)
+ [Debugger (algoritmo)](#debugger-us-east-2)
+ [Previsión DeepAR (algoritmo)](#forecasting-deepar-us-east-2)
+ [Máquinas de factorización (algoritmo)](#factorization-machines-us-east-2)
+ [Hugging Face (algoritmo)](#huggingface-us-east-2)
+ [IP Insights (algoritmo)](#ipinsights-us-east-2)
+ [Image classification (algoalgoritmo)](#image-classification-us-east-2)
+ [Inferentia MXNet (DLC)](#inferentia-mxnet-us-east-2)
+ [Inferentia PyTorch (DLC)](#inferentia-pytorch-us-east-2)
+ [K-Means (algoritmo)](#kmeans-us-east-2)
+ [KNN (algoritmo)](#knn-us-east-2)
+ [LDA (algoritmo)](#lda-us-east-2)
+ [Aprendizaje lineal (algoritmo)](#linear-learner-us-east-2)
+ [MXNet (DLC)](#mxnet-us-east-2)
+ [MXNet Coach (DLC)](#coach-mxnet-us-east-2)
+ [Monitor de modelos (algoritmo)](#model-monitor-us-east-2)
+ [NTM (algoritmo)](#ntm-us-east-2)
+ [Neo Image Classification (algoritmo)](#image-classification-neo-us-east-2)
+ [Neo MXNet (DLC)](#neo-mxnet-us-east-2)
+ [Neo PyTorch (DLC)](#neo-pytorch-us-east-2)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-us-east-2)
+ [Neo XGBoost (algoritmo)](#xgboost-neo-us-east-2)
+ [Detección de objetos (algoritmo)](#object-detection-us-east-2)
+ [Object2Vec (algoritmo)](#object2vec-us-east-2)
+ [PCA (algoritmo)](#pca-us-east-2)
+ [PyTorch (DLC)](#pytorch-us-east-2)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-us-east-2)
+ [PyTorch Training Compiler (DLC)](#pytorch-training-compiler-us-east-2)
+ [Random Cut Forest (algoritmo)](#randomcutforest-us-east-2)
+ [Ray PyTorch (DLC)](#ray-pytorch-us-east-2)
+ [Scikit-learn (algoritmo)](#sklearn-us-east-2)
+ [Segmentación semática (algoritmo)](#semantic-segmentation-us-east-2)
+ [Seq2Seq (algoritmo)](#seq2seq-us-east-2)
+ [Spark (algoritmo)](#spark-us-east-2)
+ [SparkML Serving (algoritmo)](#sparkml-serving-us-east-2)
+ [Tensorflow (DLC)](#tensorflow-us-east-2)
+ [Tensorflow Coach (DLC)](#coach-tensorflow-us-east-2)
+ [Tensorflow Inferentia (DLC)](#inferentia-tensorflow-us-east-2)
+ [Tensorflow Ray (DLC)](#ray-tensorflow-us-east-2)
+ [VW (algoritmo)](#vw-us-east-2)
+ [XGBoost (algoritmo)](#xgboost-us-east-2)

## AutoGluon (algoritmo)
<a name="autogluon-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='us-east-2',image_scope='inference',version='0.4')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 1.3.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 1.3.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 1.2.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 1.2.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 1.1.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 1.1.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 1.1.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 1.1.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 1.0.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 1.0.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.8.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.8.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.7.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.7.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.6.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.6.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.6.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.6.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.5.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.5.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.4.3 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.4.3 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.4.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.4.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.4.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.4.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.3.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.3.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-training:<etiqueta> | 0.3.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/autogluon-inference:<etiqueta> | 0.3.1 | inferencia | 

## BlazingText (algoritmo)
<a name="blazingtext-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/blazingtext:<etiqueta> | 1 | inferencia, entrenamiento | 

## Chainer (DLC)
<a name="chainer-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='us-east-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<etiqueta> | 5.0.0 | inferencia, entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<etiqueta> | 4.1.0 | inferencia, entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-chainer:<etiqueta> | 4.0.0 | inferencia, entrenamiento | CPU, GPU | py2, py3 | 

## Clarify (algoritmo)
<a name="clarify-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='us-east-2',version='1.0',image_scope='processing')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 211330385671.dkr.ecr.us-east-2.amazonaws.com/sagemaker-clarify-processing:<etiqueta> | 1.0 | En proceso | 

## DJL DeepSpeed (algoritmo)
<a name="djl-deepspeed-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

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


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<etiqueta> | 0.21.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<etiqueta> | 0.20.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<etiqueta> | 0.19.0 | inferencia | 

## Data Wrangler (algoritmo)
<a name="data-wrangler-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<etiqueta> | 3.x | En proceso | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<etiqueta> | 2.x | En proceso | 
| 415577184552.dkr.ecr.us-east-2.amazonaws.com/sagemaker-data-wrangler-container:<etiqueta> | 1.x | En proceso | 

## Debugger (algoritmo)
<a name="debugger-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 915447279597.dkr.ecr.us-east-2.amazonaws.com/sagemaker-debugger-rules:<etiqueta> | más reciente | Depurador | 

## Previsión DeepAR (algoritmo)
<a name="forecasting-deepar-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 566113047672.dkr.ecr.us-east-2.amazonaws.com/forecasting-deepar:<etiqueta> | 1 | inferencia, entrenamiento | 

## Máquinas de factorización (algoritmo)
<a name="factorization-machines-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/factorization-machines:<etiqueta> | 1 | inferencia, entrenamiento | 

## Hugging Face (algoritmo)
<a name="huggingface-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='us-east-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.49.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.49.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.48.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.48.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.46.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.37.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.36.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.28.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.28.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.26.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.26.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.26.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.17.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.17.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.17.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.17.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.12.3 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.12.3 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.12.3 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.12.3 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.11.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.11.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.11.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.11.0 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.10.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.10.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.10.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.10.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.10.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.10.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.10.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.10.2 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.6.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.6.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.6.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.6.1 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-inference:<etiqueta> | 4.6.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-inference:<etiqueta> | 4.6.1 | inferencia | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.5.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.5.0 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training:<etiqueta> | 4.4.2 | entrenamiento | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-tensorflow-training:<etiqueta> | 4.4.2 | entrenamiento | 

## IP Insights (algoritmo)
<a name="ipinsights-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/ipinsights:<etiqueta> | 1 | inferencia, entrenamiento | 

## Image classification (algoalgoritmo)
<a name="image-classification-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/image-classification:<etiqueta> | 1 | inferencia, entrenamiento | 

## Inferentia MXNet (DLC)
<a name="inferentia-mxnet-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='us-east-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-mxnet:<etiqueta> | 1.8 | inferencia | .inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-mxnet:<etiqueta> | 1.5.1 | inferencia | .inf | py3 | 

## Inferentia PyTorch (DLC)
<a name="inferentia-pytorch-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='us-east-2',version='1.9',py_version='py3')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<etiqueta> | 1.9 | inferencia | .inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<etiqueta> | 1.8 | inferencia | .inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-pytorch:<etiqueta> | 1.7 | inferencia | .inf | py3 | 

## K-Means (algoritmo)
<a name="kmeans-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/kmeans:<etiqueta> | 1 | inferencia, entrenamiento | 

## KNN (algoritmo)
<a name="knn-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/knn:<etiqueta> | 1 | inferencia, entrenamiento | 

## LDA (algoritmo)
<a name="lda-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 999911452149.dkr.ecr.us-east-2.amazonaws.com/lda:<etiqueta> | 1 | inferencia, entrenamiento | 

## Aprendizaje lineal (algoritmo)
<a name="linear-learner-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/linear-learner:<etiqueta> | 1 | inferencia, entrenamiento | 

## MXNet (DLC)
<a name="mxnet-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='us-east-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<etiqueta> | 1.9.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<etiqueta> | 1.9.0 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<etiqueta> | 1.8.0 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<etiqueta> | 1.8.0 | inferencia | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<etiqueta> | 1.7.0 | entrenamiento | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<etiqueta> | 1.7.0 | inferencia | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<etiqueta> | 1.7.0 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<etiqueta> | 1.6.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<etiqueta> | 1.6.0 | inferencia | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<etiqueta> | 1.5.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.4.1 | entrenamiento | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-training:<etiqueta> | 1.4.1 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving:<etiqueta> | 1.4.1 | inferencia | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference:<etiqueta> | 1.4.1 | inferencia | CPU, GPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/mxnet-inference-eia:<etiqueta> | 1.4.1 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.4.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving:<etiqueta> | 1.4.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-serving-eia:<etiqueta> | 1.4.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.3.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.3.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet-eia:<etiqueta> | 1.3.0 | eia | CPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.2.1 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.2.1 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.1.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.1.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.0.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 1.0.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 0.12.1 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-mxnet:<etiqueta> | 0.12.1 | inferencia | CPU, GPU | py2, py3 | 

## MXNet Coach (DLC)
<a name="coach-mxnet-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='us-east-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<etiqueta> | 0.11.0 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<etiqueta> | 0.11 | entrenamiento | CPU, GPU | py3 | 

## Monitor de modelos (algoritmo)
<a name="model-monitor-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 777275614652.dkr.ecr.us-east-2.amazonaws.com/sagemaker-model-monitor-analyzer:<etiqueta> |  | monitorización | 

## NTM (algoritmo)
<a name="ntm-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/ntm:<etiqueta> | 1 | inferencia, entrenamiento | 

## Neo Image Classification (algoritmo)
<a name="image-classification-neo-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/image-classification-neo:<etiqueta> | más reciente | inferencia | 

## Neo MXNet (DLC)
<a name="neo-mxnet-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='us-east-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-mxnet:<etiqueta> | 1.8 | inferencia | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
<a name="neo-pytorch-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='us-east-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 2.0 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.13 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.12 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.8 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.7 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.6 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.5 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-pytorch:<etiqueta> | 1.4 | inferencia | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
<a name="neo-tensorflow-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='us-east-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-tensorflow:<etiqueta> | 2.9.2 | inferencia | CPU, GPU | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-inference-tensorflow:<etiqueta> | 1.15.3 | inferencia | CPU, GPU | py3 | 

## Neo XGBoost (algoritmo)
<a name="xgboost-neo-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/xgboost-neo:<etiqueta> | más reciente | inferencia | 

## Detección de objetos (algoritmo)
<a name="object-detection-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/object-detection:<etiqueta> | 1 | inferencia, entrenamiento | 

## Object2Vec (algoritmo)
<a name="object2vec-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/object2vec:<etiqueta> | 1 | inferencia, entrenamiento | 

## PCA (algoritmo)
<a name="pca-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/pca:<etiqueta> | 1 | inferencia, entrenamiento | 

## PyTorch (DLC)
<a name="pytorch-us-east-2"></a>

Para obtener más información sobre las versiones de PyTorch compatibles y no compatibles, consulte la [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) en la *AWS Deep Learning Containers Developer Guide*.

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='us-east-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.7.1 | entrenamiento | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.6.0 | inferencia | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.6.0 | entrenamiento | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.5.1 | inferencia | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.5.1 | entrenamiento | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.4.0 | inferencia | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.4.0 | entrenamiento | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.3.0 | inferencia | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.3.0 | entrenamiento | CPU, GPU | py311 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.2.0 | inferencia | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.2.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.1.0 | inferencia | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.1.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.0.1 | inferencia | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.0.1 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 2.0.0 | inferencia | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 2.0.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.13.1 | inferencia | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.13.1 | entrenamiento | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.12.1 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-graviton:<etiqueta> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.12.1 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.12.0 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.12.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.11.0 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.11.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.10.2 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.10.2 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.10.0 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.10.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.9.1 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.9.1 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.9.0 | inferencia | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.9.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.8.1 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.8.1 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.8.0 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.8.0 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.7.1 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.7.1 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.6.0 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.6.0 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-eia:<etiqueta> | 1.5.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.5.0 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.5.0 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.4.0 | inferencia | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.4.0 | entrenamiento | CPU, GPU | py2, py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference-eia:<etiqueta> | 1.3.1 | eia | CPU | py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.3.1 | inferencia | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.3.1 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-inference:<etiqueta> | 1.2.0 | inferencia | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training:<etiqueta> | 1.2.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 1.1.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 1.1.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 1.0.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 1.0.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 0.4.0 | inferencia | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-pytorch:<etiqueta> | 0.4.0 | entrenamiento | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
<a name="pytorch-neuron-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

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


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-training-neuron:<etiqueta> | 1.11.0 | entrenamiento | TRN | py38 | 

## PyTorch Training Compiler (DLC)
<a name="pytorch-training-compiler-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

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


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-trcomp-training:<etiqueta> | 1.13.1 | entrenamiento | GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/pytorch-trcomp-training:<etiqueta> | 1.12.0 | entrenamiento | GPU | py38 | 

## Random Cut Forest (algoritmo)
<a name="randomcutforest-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 404615174143.dkr.ecr.us-east-2.amazonaws.com/randomcutforest:<etiqueta> | 1 | inferencia, entrenamiento | 

## Ray PyTorch (DLC)
<a name="ray-pytorch-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='us-east-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-torch-<(etiqueta)> | 1.6.0 | entrenamiento | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-torch-<etiqueta> | 0.8.5 | entrenamiento | CPU, GPU | py36 | 

## Scikit-learn (algoritmo)
<a name="sklearn-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='us-east-2',version='0.23-1',image_scope='inference')
```


| Ruta de registro | Versión | Versión de paquete | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 1.2-1 | 1.2.1 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 1.2-1 | 1.2.1 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 1.0-1 | 1.0.2 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 1.0-1 | 1.0.2 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 0.23-1 | 0.23.2 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 0.23-1 | 0.23.2 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 0.20.0 | 0.20.0 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-scikit-learn:<etiqueta> | 0.20.0 | 0.20.0 | entrenamiento | 

## Segmentación semática (algoritmo)
<a name="semantic-segmentation-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/semantic-segmentation:<etiqueta> | 1 | inferencia, entrenamiento | 

## Seq2Seq (algoritmo)
<a name="seq2seq-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='us-east-2')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/seq2seq:<etiqueta> | 1 | inferencia, entrenamiento | 

## Spark (algoritmo)
<a name="spark-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='us-east-2',version='3.0',image_scope='processing')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<etiqueta> | 3.3 | En proceso | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<etiqueta> | 3.2 | En proceso | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<etiqueta> | 3.1 | En proceso | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<etiqueta> | 3.0 | En proceso | 
| 314815235551.dkr.ecr.us-east-2.amazonaws.com/sagemaker-spark-processing:<etiqueta> | 2.4 | En proceso | 

## SparkML Serving (algoritmo)
<a name="sparkml-serving-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='us-east-2',version='2.4')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<etiqueta> | 3.3 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<etiqueta> | 2.4 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-sparkml-serving:<etiqueta> | 2.2 | inferencia | 

## Tensorflow (DLC)
<a name="tensorflow-us-east-2"></a>

Para obtener más información sobre las versiones de TensorFlow compatibles y no compatibles, consulte la [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) en la *AWS Deep Learning Containers Developer Guide*.

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='us-east-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.19.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.19.0 | entrenamiento | CPU, GPU | py312 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.18.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.18.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.16.2 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.16.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<etiqueta> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.14.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<etiqueta> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.14.1 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.13.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<etiqueta> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.13.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.12.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<etiqueta> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.12.0 | entrenamiento | CPU, GPU | py310 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.11.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.11.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.11.0 | entrenamiento | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.10.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.10.1 | entrenamiento | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.10.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.9.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.9.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.9.2 | entrenamiento | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-graviton:<etiqueta> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.8.4 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.8.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.8.0 | entrenamiento | CPU, GPU | py39 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.7.1 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.7.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.6.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.6.3 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.6.2 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.6.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.6.0 | entrenamiento | CPU, GPU | py38 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.5.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.5.1 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.5.0 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.4.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.4.3 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.4.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.4.1 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.3.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.3.2 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.3.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.3.1 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<etiqueta> | 2.3.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.3.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.3.0 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.2.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.2.2 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.2.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.2.1 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.2.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.2.0 | entrenamiento | CPU, GPU | py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.1.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.1.3 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.1.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.1.2 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.1.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.1.1 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.1.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.1.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.0.4 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.0.4 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.0.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.0.3 | entrenamiento | CPU, GPU | py3, py36 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.0.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.0.2 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.0.1 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.0.1 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<etiqueta> | 2.0.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 2.0.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 2.0.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.15.5 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.15.5 | entrenamiento | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.15.4 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.15.4 | entrenamiento | CPU, GPU | py3, py36, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.15.3 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.15.3 | entrenamiento | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.15.2 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.15.2 | entrenamiento | CPU, GPU | py2, py3, py37 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<etiqueta> | 1.15.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.15.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.15.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference-eia:<etiqueta> | 1.14.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.14.0 | inferencia | CPU, GPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.14.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<etiqueta> | 1.13.1 | entrenamiento | CPU, GPU | py2 | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-training:<etiqueta> | 1.13.1 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<etiqueta> | 1.13.0 | eia | CPU | - | 
| 763104351884.dkr.ecr.us-east-2.amazonaws.com/tensorflow-inference:<etiqueta> | 1.13.0 | inferencia | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<etiqueta> | 1.12.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving:<etiqueta> | 1.12.0 | inferencia | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<etiqueta> | 1.12.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving-eia:<etiqueta> | 1.11.0 | eia | CPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-serving:<etiqueta> | 1.11.0 | inferencia | CPU, GPU | - | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-scriptmode:<etiqueta> | 1.11.0 | entrenamiento | CPU, GPU | py2, py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow-eia:<etiqueta> | 1.10.0 | eia | CPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.10.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.10.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.9.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.9.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.8.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.8.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.7.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.7.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.6.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.6.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.5.0 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.5.0 | entrenamiento | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.4.1 | inferencia | CPU, GPU | py2 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-tensorflow:<etiqueta> | 1.4.1 | entrenamiento | CPU, GPU | py2 | 

## Tensorflow Coach (DLC)
<a name="coach-tensorflow-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-tensorflow',region='us-east-2',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-coach-container:coach-1.0.0-tf-<etiqueta> | 1.0.0 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<etiqueta> | 0.11.1 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<etiqueta> | 0.11.0 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<etiqueta> | 0.11 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<etiqueta> | 0.10.1 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<etiqueta> | 0.10 | entrenamiento | CPU, GPU | py3 | 

## Tensorflow Inferentia (DLC)
<a name="inferentia-tensorflow-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='us-east-2',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-tensorflow:<etiqueta> | 2.5.2 | inferencia | .inf | py3 | 
| 007439368137.dkr.ecr.us-east-2.amazonaws.com/sagemaker-neo-tensorflow:<etiqueta> | 1.15.0 | inferencia | .inf | py3 | 

## Tensorflow Ray (DLC)
<a name="ray-tensorflow-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-tensorflow',region='us-east-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python | 
| --- | --- | --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-1.6.0-tf-<etiqueta> | 1.6.0 | entrenamiento | CPU, GPU | py37 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.5-tf-<etiqueta> | 0.8.5 | entrenamiento | CPU, GPU | py36 | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-ray-container:ray-0.8.2-tf-<etiqueta> | 0.8.2 | entrenamiento | CPU, GPU | py36 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<etiqueta> | 0.6.5 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<etiqueta> | 0.6 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<etiqueta> | 0.5.3 | entrenamiento | CPU, GPU | py3 | 
| 520713654638.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<etiqueta> | 0,5 | entrenamiento | CPU, GPU | py3 | 

## VW (algoritmo)
<a name="vw-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='vw',region='us-east-2',version='8.7.0',image_scope='training')
```


| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | 
| 462105765813.dkr.ecr.us-east-2.amazonaws.com/sagemaker-rl-vw-container:vw-8.7.0-<etiqueta> | 8.7.0 | entrenamiento | 

## XGBoost (algoritmo)
<a name="xgboost-us-east-2"></a>

El siguiente ejemplo del SageMaker AI Python SDK muestra cómo recuperar una ruta de registro específica.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='us-east-2',version='1.5-1')
```


| Ruta de registro | Versión | Versión de paquete | Tipos de trabajo (alcance de imagen) | 
| --- | --- | --- | --- | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.7-1 | 1.7.4 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.7-1 | 1.7.4 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.5-1 | 1.5.2 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.5-1 | 1.5.2 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.3-1 | 1.3.3 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.3-1 | 1.3.3 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.2-2 | 1.2.0 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.2-2 | 1.2.0 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.2-1 | 1.2.0 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.2-1 | 1.2.0 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.0-1 | 1.0.0 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 1.0-1 | 1.0.0 | entrenamiento | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/xgboost:<etiqueta> | 1 | 0.72 | inferencia | 
| 825641698319.dkr.ecr.us-east-2.amazonaws.com/xgboost:<etiqueta> | 1 | 0.72 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 0.90-2 | 0.90 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 0.90-2 | 0.90 | entrenamiento | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 0.90-1 | 0.90 | inferencia | 
| 257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:<etiqueta> | 0.90-1 | 0.90 | entrenamiento | 