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# Rutas de registro de Docker y código de ejemplo para Israel (Tel Aviv) (il-central-1)
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-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)
+ [Previsión DeepAR (algoritmo)](#forecasting-deepar-il-central-1)
+ [Máquinas de factorización (algoritmo)](#factorization-machines-il-central-1)
+ [Hugging Face (algoritmo)](#huggingface-il-central-1)
+ [IP Insights (algoritmo)](#ipinsights-il-central-1)
+ [Image classification (algoalgoritmo)](#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)
+ [Aprendizaje lineal (algoritmo)](#linear-learner-il-central-1)
+ [MXNet (DLC)](#mxnet-il-central-1)
+ [Monitor de modelos (algoritmo)](#model-monitor-il-central-1)
+ [NTM (algoritmo)](#ntm-il-central-1)
+ [Neo Image Classification (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)
+ [Detección de objetos (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 Neuron (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)
+ [Segmentación semática (algoritmo)](#semantic-segmentation-il-central-1)
+ [Seq2Seq (algoritmo)](#seq2seq-il-central-1)
+ [Spark (algoritmo)](#spark-il-central-1)
+ [Tensorflow (DLC)](#tensorflow-il-central-1)
+ [Tensorflow Inferentia (DLC)](#inferentia-tensorflow-il-central-1)
+ [XGBoost (algoritmo)](#xgboost-il-central-1)
## AutoGluon (algoritmo)
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='il-central-1',image_scope='inference',version='0.4')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 1.3.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 1.3.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 1.2.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 1.2.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 1.1.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 1.1.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 1.1.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 1.1.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 1.0.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 1.0.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.8.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.8.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.7.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.7.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.6.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.6.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.6.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.6.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.5.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.5.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.4.3 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.4.3 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.4.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.4.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.4.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.4.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.3.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.3.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training: | 0.3.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference: | 0.3.1 | inferencia |
## BlazingText (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext: | 1 | inferencia, entrenamiento |
## DJL DeepSpeed (algoritmo)
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) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121- | 0.27.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121- | 0.26.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118- | 0.25.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118- | 0.24.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118- | 0.23.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118- | 0.22.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117- | 0.21.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116- | 0.20.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113- | 0.19.0 | inferencia |
## Data Wrangler (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container: | 3.x | En proceso |
## Previsión DeepAR (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/forecasting-deepar: | 1 | inferencia, entrenamiento |
## Máquinas de factorización (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/factorization-machines: | 1 | inferencia, entrenamiento |
## Hugging Face (algoritmo)
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='il-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.49.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.49.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.48.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.48.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.46.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.37.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.36.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.28.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.28.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.26.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.26.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.26.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.17.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.17.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.17.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.17.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.12.3 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.12.3 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.12.3 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.12.3 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.11.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.11.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.11.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.11.0 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.6.1 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference: | 4.6.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference: | 4.6.1 | inferencia |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.5.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.5.0 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training: | 4.4.2 | entrenamiento |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training: | 4.4.2 | entrenamiento |
## IP Insights (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ipinsights: | 1 | inferencia, entrenamiento |
## Image classification (algoalgoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/image-classification: | 1 | inferencia, entrenamiento |
## Inferentia MXNet (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet: | 1.8 | inferencia | .inf | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet: | 1.5.1 | inferencia | .inf | py3 |
## Inferentia PyTorch (DLC)
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='il-central-1',version='1.9',py_version='py3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) | Tipos de procesadores | Versiones de Python |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch: | 1.9 | inferencia | .inf | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch: | 1.8 | inferencia | .inf | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch: | 1.7 | inferencia | .inf | py3 |
## K-Means (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/kmeans: | 1 | inferencia, entrenamiento |
## KNN (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn: | 1 | inferencia, entrenamiento |
## Aprendizaje lineal (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/linear-learner: | 1 | inferencia, entrenamiento |
## MXNet (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training: | 1.9.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference: | 1.9.0 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training: | 1.8.0 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference: | 1.8.0 | inferencia | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training: | 1.7.0 | entrenamiento | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference: | 1.7.0 | inferencia | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia: | 1.7.0 | eia | CPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training: | 1.6.0 | entrenamiento | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference: | 1.6.0 | inferencia | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia: | 1.5.1 | eia | CPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training: | 1.4.1 | entrenamiento | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference: | 1.4.1 | inferencia | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia: | 1.4.1 | eia | CPU | py2, py3 |
## Monitor de modelos (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 843974653677.dkr.ecr.il-central-1.amazonaws.com/sagemaker-model-monitor-analyzer: | | monitorización |
## NTM (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ntm: | 1 | inferencia, entrenamiento |
## Neo Image Classification (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/image-classification-neo: | más reciente | inferencia |
## Neo MXNet (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-mxnet: | 1.8 | inferencia | CPU, GPU | py3 |
## Neo PyTorch (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 2.0 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.13 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.12 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.8 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.7 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.6 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.5 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch: | 1.4 | inferencia | CPU, GPU | py3 |
## Neo Tensorflow (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow: | 2.9.2 | inferencia | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow: | 1.15.3 | inferencia | CPU, GPU | py3 |
## Neo XGBoost (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/xgboost-neo: | más reciente | inferencia |
## Detección de objetos (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object-detection: | 1 | inferencia, entrenamiento |
## Object2Vec (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object2vec: | 1 | inferencia, entrenamiento |
## PCA (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/pca: | 1 | inferencia, entrenamiento |
## PyTorch (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.7.1 | entrenamiento | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.6.0 | inferencia | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.6.0 | entrenamiento | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.5.1 | inferencia | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.5.1 | entrenamiento | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.4.0 | inferencia | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.4.0 | inference\$1graviton | CPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.4.0 | entrenamiento | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.3.0 | inferencia | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.3.0 | inference\$1graviton | CPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.3.0 | entrenamiento | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.2.1 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.2.0 | inferencia | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.2.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.1.0 | inferencia | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.1.0 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.1.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.0.1 | inferencia | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.0.1 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.0.1 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 2.0.0 | inferencia | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 2.0.0 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 2.0.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.13.1 | inferencia | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.13.1 | entrenamiento | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.12.1 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton: | 1.12.1 | inference\$1graviton | CPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.12.1 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.12.0 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.12.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.11.0 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.11.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.10.2 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.10.2 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.10.0 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.10.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.9.1 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.9.1 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.9.0 | inferencia | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.9.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.8.1 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.8.1 | entrenamiento | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.8.0 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.8.0 | entrenamiento | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.7.1 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.7.1 | entrenamiento | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.6.0 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.6.0 | entrenamiento | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.5.0 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.5.0 | entrenamiento | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.4.0 | inferencia | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.4.0 | entrenamiento | CPU, GPU | py2, py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.3.1 | inferencia | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.3.1 | entrenamiento | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference: | 1.2.0 | inferencia | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training: | 1.2.0 | entrenamiento | CPU, GPU | py2, py3 |
## PyTorch Neuron (DLC)
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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron: | 1.11.0 | entrenamiento | TRN | py38 |
## PyTorch Training Compiler (DLC)
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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training: | 1.13.1 | entrenamiento | GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training: | 1.12.0 | entrenamiento | GPU | py38 |
## Random Cut Forest (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest: | 1 | inferencia, entrenamiento |
## Scikit-learn (algoritmo)
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='il-central-1',version='0.23-1',image_scope='inference')
```
| Ruta de registro | Versión | Versión de paquete | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | inferencia |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | entrenamiento |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferencia |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | entrenamiento |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inference\$1graviton |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | inferencia |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | entrenamiento |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | inferencia |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | entrenamiento |
## Segmentación semática (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/semantic-segmentation: | 1 | inferencia, entrenamiento |
## Seq2Seq (algoritmo)
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='il-central-1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/seq2seq: | 1 | inferencia, entrenamiento |
## Spark (algoritmo)
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='il-central-1',version='3.0',image_scope='processing')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing: | 3.3 | En proceso |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing: | 3.2 | En proceso |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing: | 3.1 | En proceso |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing: | 3.0 | En proceso |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing: | 2.4 | En proceso |
## Tensorflow (DLC)
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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.19.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.19.0 | entrenamiento | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.18.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.18.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.16.2 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.16.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton: | 2.16.1 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.14.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton: | 2.14.1 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.14.1 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.13.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton: | 2.13.0 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.13.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.12.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton: | 2.12.1 | inference\$1graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.12.0 | entrenamiento | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.11.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.11.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.11.0 | entrenamiento | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.10.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.10.1 | entrenamiento | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.10.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.9.3 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.9.2 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.9.2 | entrenamiento | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton: | 2.9.1 | inference\$1graviton | CPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.8.4 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.8.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.8.0 | entrenamiento | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.7.1 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.7.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.6.3 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.6.3 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.6.2 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.6.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.6.0 | entrenamiento | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.5.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.5.1 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.5.0 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.4.3 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.4.3 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.4.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.4.1 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.3.2 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.3.2 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.3.1 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.3.1 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia: | 2.3.0 | eia | CPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.3.0 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: | 2.3.0 | entrenamiento | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference: | 2.2.2 | inferencia | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training: