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# Rutas de Docker Registry y código de ejemplo para Asia-Pacífico (Yakarta) (ap-southeast-3)
En los siguientes temas se enumeran los parámetros de cada uno de los algoritmos y contenedores de aprendizaje profundo que Amazon SageMaker AI proporciona en este documento Región de AWS.
**Topics**
+ [AutoGluon (algoritmo)](#autogluon-ap-southeast-3)
+ [BlazingText (algoritmo)](#blazingtext-ap-southeast-3)
+ [Clarify (algoritmo)](#clarify-ap-southeast-3)
+ [DJL DeepSpeed (algoritmo)](#djl-deepspeed-ap-southeast-3)
+ [Previsión DeepAR (algoritmo)](#forecasting-deepar-ap-southeast-3)
+ [Máquinas de factorización (algoritmo)](#factorization-machines-ap-southeast-3)
+ [Hugging Face (algoritmo)](#huggingface-ap-southeast-3)
+ [IP Insights (algoritmo)](#ipinsights-ap-southeast-3)
+ [Image classification (algoalgoritmo)](#image-classification-ap-southeast-3)
+ [K-Means (algoritmo)](#kmeans-ap-southeast-3)
+ [KNN (algoritmo)](#knn-ap-southeast-3)
+ [Aprendizaje lineal (algoritmo)](#linear-learner-ap-southeast-3)
+ [MXNet (DLC)](#mxnet-ap-southeast-3)
+ [Monitor de modelos (algoritmo)](#model-monitor-ap-southeast-3)
+ [NTM (algoritmo)](#ntm-ap-southeast-3)
+ [Detección de objetos (algoritmo)](#object-detection-ap-southeast-3)
+ [Object2Vec (algoritmo)](#object2vec-ap-southeast-3)
+ [PCA (algoritmo)](#pca-ap-southeast-3)
+ [PyTorch (DLC)](#pytorch-ap-southeast-3)
+ [Random Cut Forest (algoritmo)](#randomcutforest-ap-southeast-3)
+ [Scikit-learn (algoritmo)](#sklearn-ap-southeast-3)
+ [Segmentación semática (algoritmo)](#semantic-segmentation-ap-southeast-3)
+ [Seq2Seq (algoritmo)](#seq2seq-ap-southeast-3)
+ [Spark (algoritmo)](#spark-ap-southeast-3)
+ [SparkML Serving (algoritmo)](#sparkml-serving-ap-southeast-3)
+ [Tensorflow (DLC)](#tensorflow-ap-southeast-3)
+ [XGBoost (algoritmo)](#xgboost-ap-southeast-3)
## AutoGluon (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='ap-southeast-3',image_scope='inference',version='0.4')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 1.3.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 1.3.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 1.2.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 1.2.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 1.1.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 1.1.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 1.1.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 1.1.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 1.0.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 1.0.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.8.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.8.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.7.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.7.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.6.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.6.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.6.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.6.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.5.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.5.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.4.3 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.4.3 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.4.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.4.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.4.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.4.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.3.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.3.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:{{}} | 0.3.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:{{}} | 0.3.1 | inferencia |
## BlazingText (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/blazingtext:{{}} | 1 | inferencia, entrenamiento |
## Clarify (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='ap-southeast-3',version='1.0',image_scope='processing')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 705930551576.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-clarify-processing:{{}} | 1.0 | En proceso |
## DJL DeepSpeed (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se 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) |
| --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inferenceEl siguiente ejemplo de AI Python SDK muestra cómo recuperar una ruta de registro específica. ----sep----:0.27.0-deepspeed0.12.6-cu121- {{}} | 0.27.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.27.0 ----sep----:0.26.0 - velocidad de profundidad 0.12.6-cu121- {{}} | 0.26.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.26.0 ----sep----:0.25.0-velocidad profunda 0.11.0-cu118- {{}} | 0.25.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.25.0 ----sep----:0.24.0-velocidad profunda 0.10.0-cu118- {{}} | 0.24.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.24.0 ----sep----:0.23.0-velocidad de profundidad 0.95-cu118- {{}} | 0.23.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.23.0 ----sep----:0.22.1 - velocidad de profundidad 0.9.2 - cu118- {{}} | 0.22.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.22.1 ----sep----:0.21.0 - velocidad de profundidad 0.8.3 - cu117- {{}} | 0.21.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.21.0 ----sep----:0.20.0-velocidad de profundidad 0.75-cu116- {{}} | 0.20.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference0.20.0 ----sep----:0.19.0 - velocidad de profundidad 0.7.3-cu113- {{}} | 0.19.0 | inferencia |
## Previsión DeepAR (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/forecasting-deepar:{{}} | 1 | inferencia, entrenamiento |
## Máquinas de factorización (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/factorization-machines:{{}} | 1 | inferencia, entrenamiento |
## Hugging Face (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='ap-southeast-3',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.49.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.49,0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.48,0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.48,0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.46.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.37,0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.36,0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.28.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.28.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.26.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.26.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.26.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.17.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.17.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.17.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.17.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.12.3 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.12.3 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.12.3 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.12.3 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.11.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.11.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.11.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.11.0 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.10.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.10.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.10.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.10.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.10.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.10.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.10.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.10.2 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.6.1 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.6.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.6.1 | inferencia |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.5.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.5.0 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:{{}} | 4.4.2 | entrenamiento |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.4.2 | entrenamiento |
## IP Insights (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/ipinsights:{{}} | 1 | inferencia, entrenamiento |
## Image classification (algoalgoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/image-classification:{{}} | 1 | inferencia, entrenamiento |
## K-Means (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/kmeans:{{}} | 1 | inferencia, entrenamiento |
## KNN (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/knn:{{}} | 1 | inferencia, entrenamiento |
## Aprendizaje lineal (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/linear-learner:{{}} | 1 | inferencia, entrenamiento |
## MXNet (DLC)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='ap-southeast-3',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 |
| --- | --- | --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:{{}} | 1.9.0 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:{{}} | 1.9.0 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:{{}} | 1.8.0 | entrenamiento | CPU, GPU | py37 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:{{}} | 1.8.0 | inferencia | CPU, GPU | py37 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:{{}} | 1.7.0 | entrenamiento | CPU, GPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:{{}} | 1.7.0 | inferencia | CPU, GPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:{{}} | 1.7.0 | eia | CPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:{{}} | 1.6.0 | entrenamiento | CPU, GPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:{{}} | 1.6.0 | inferencia | CPU, GPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:{{}} | 1.5.1 | eia | CPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:{{}} | 1.4.1 | entrenamiento | CPU, GPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:{{}} | 1.4.1 | inferencia | CPU, GPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:{{}} | 1.4.1 | eia | CPU | py2, py3 |
## Monitor de modelos (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 669540362728.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-model-monitor-analyzer:{{}} | | supervisión |
## NTM (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/ntm:{{}} | 1 | inferencia, entrenamiento |
## Detección de objetos (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/object-detection:{{}} | 1 | inferencia, entrenamiento |
## Object2Vec (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/object2vec:{{}} | 1 | inferencia, entrenamiento |
## PCA (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/pca:{{}} | 1 | inferencia, entrenamiento |
## PyTorch (DLC)
Para obtener información sobre las PyTorch versiones compatibles y no compatibles, consulte la [tabla de políticas de soporte de Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) en la *Guía para desarrolladores de AWS Deep Learning Containers*.
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='ap-southeast-3',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 |
| --- | --- | --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.7.1 | entrenamiento | CPU, GPU | py312 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.6.0 | inferencia | CPU, GPU | py312 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.6.0 | entrenamiento | CPU, GPU | py312 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.5.1 | inferencia | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.5.1 | entrenamiento | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.4.0 | inferencia | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.4.0 | inference\_graviton | CPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.4.0 | entrenamiento | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.3.0 | inferencia | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.3.0 | inference\_graviton | CPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.3.0 | entrenamiento | CPU, GPU | py311 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.2.1 | inference\_graviton | CPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.2.0 | inferencia | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.2.0 | entrenamiento | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.1.0 | inferencia | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.1.0 | inference\_graviton | CPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.1.0 | entrenamiento | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.0.1 | inferencia | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.0.1 | inference\_graviton | CPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.0.1 | entrenamiento | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 2.0.0 | inferencia | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 2.0.0 | inference\_graviton | CPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 2.0.0 | entrenamiento | CPU, GPU | py310 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.13.1 | inferencia | CPU, GPU | py39 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.13.1 | entrenamiento | CPU, GPU | py39 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.12.1 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:{{}} | 1.12.1 | inference\_graviton | CPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.12.1 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.12.0 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.12.0 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.11.0 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.11.0 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.10.2 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.10.2 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.10.0 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.10.0 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.9.1 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.9.1 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.9.0 | inferencia | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.9.0 | entrenamiento | CPU, GPU | py38 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.8.1 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.8.1 | entrenamiento | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.8.0 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.8.0 | entrenamiento | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.7.1 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.7.1 | entrenamiento | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.6.0 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.6.0 | entrenamiento | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:{{}} | 1.5.1 | eia | CPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.5.0 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.5.0 | entrenamiento | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.4.0 | inferencia | CPU, GPU | py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.4.0 | entrenamiento | CPU, GPU | py2, py3, py36 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:{{}} | 1.3.1 | eia | CPU | py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.3.1 | inferencia | CPU, GPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.3.1 | entrenamiento | CPU, GPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:{{}} | 1.2.0 | inferencia | CPU, GPU | py2, py3 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:{{}} | 1.2.0 | entrenamiento | CPU, GPU | py2, py3 |
## Random Cut Forest (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/randomcutforest:{{}} | 1 | inferencia, entrenamiento |
## Scikit-learn (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='ap-southeast-3',version='0.23-1',image_scope='inference')
```
| Ruta de registro | Versión | Versión de un paquete | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.2-1 | 1.2.1 | inferencia |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.2-1 | 1.2.1 | entrenamiento |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | inferencia |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | entrenamiento |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | inference\_graviton |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,23-1 | 0,23,2 | inferencia |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,2361 | 0,23,2 | entrenamiento |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,20.0 | 0,20.0 | inferencia |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,20.0 | 0,20.0 | entrenamiento |
## Segmentación semática (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/semantic-segmentation:{{}} | 1 | inferencia, entrenamiento |
## Seq2Seq (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='ap-southeast-3')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/seq2seq:{{}} | 1 | inferencia, entrenamiento |
## Spark (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='ap-southeast-3',version='3.0',image_scope='processing')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:{{}} | 3.3 | En proceso |
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:{{}} | 3.2 | En proceso |
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:{{}} | 3.1 | En proceso |
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:{{}} | 3.0 | En proceso |
| 800295151634.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:{{}} | 2.4 | En proceso |
## SparkML Serving (algoritmo)
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='ap-southeast-3',version='2.4')
```
| Ruta de registro | Versión | Tipos de trabajo (alcance de imagen) |
| --- | --- | --- |
| 951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-sparkml-serving:{{}} | 3.3 | inferencia |
## Tensorflow (DLC)
Para obtener información sobre las TensorFlow versiones compatibles y no compatibles, consulte la [tabla de políticas de soporte de Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) en la *Guía para desarrolladores de AWS Deep Learning Containers*.
En el siguiente ejemplo del SDK de Python para SageMaker IA, se muestra cómo recuperar una ruta de registro específica.
```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='ap-southeast-3',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 |
| --- | --- | --- | --- | --- |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:{{}} | 2.19.0 | inferencia | CPU, GPU | - |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:{{}} | 2.19.0 | entrenamiento | CPU, GPU | py312 |
| 907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:{{}} | 2.18.0 | inferencia | CPU, GPU | - |
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