Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Jalur Registri Docker dan Kode Contoh untuk Eropa (Spanyol) (eu-south-2)
<a name="ecr-eu-south-2"></a>

Topik berikut mencantumkan parameter untuk masing-masing algoritme dan wadah pembelajaran mendalam yang disediakan oleh Amazon SageMaker AI dalam hal ini Wilayah AWS.

**Topics**
+ [AutoGluon (algoritma)](#autogluon-eu-south-2)
+ [BlazingText (algoritma)](#blazingtext-eu-south-2)
+ [Peramalan DeepAR (algoritma)](#forecasting-deepar-eu-south-2)
+ [Mesin Faktorisasi (algoritma)](#factorization-machines-eu-south-2)
+ [Hugging Face (algoritma)](#huggingface-eu-south-2)
+ [Wawasan IP (algoritma)](#ipinsights-eu-south-2)
+ [Klasifikasi gambar (algoritma)](#image-classification-eu-south-2)
+ [K-Means (algoritma)](#kmeans-eu-south-2)
+ [KNN (algoritma)](#knn-eu-south-2)
+ [Linear Learner (algoritma)](#linear-learner-eu-south-2)
+ [MXNet (DLC)](#mxnet-eu-south-2)
+ [Model Monitor (algoritma)](#model-monitor-eu-south-2)
+ [NTM (algoritma)](#ntm-eu-south-2)
+ [Deteksi Objek (algoritma)](#object-detection-eu-south-2)
+ [Object2Vec (algoritma)](#object2vec-eu-south-2)
+ [PCA (algoritma)](#pca-eu-south-2)
+ [PyTorch (DLC)](#pytorch-eu-south-2)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-eu-south-2)
+ [PyTorch Kompiler Pelatihan (DLC)](#pytorch-training-compiler-eu-south-2)
+ [Random Cut Forest (algoritma)](#randomcutforest-eu-south-2)
+ [Scikit-learn (algoritma)](#sklearn-eu-south-2)
+ [Segmentasi Semantik (algoritma)](#semantic-segmentation-eu-south-2)
+ [Seq2Seq (algoritma)](#seq2seq-eu-south-2)
+ [Spark (algoritma)](#spark-eu-south-2)
+ [Tensorflow (DLC)](#tensorflow-eu-south-2)
+ [XGBoost (algoritma)](#xgboost-eu-south-2)

## AutoGluon (algoritma)
<a name="autogluon-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.5.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.3 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.4.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-training:<tag> | 0.3.1 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inferensi | 

## BlazingText (algoritma)
<a name="blazingtext-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/blazingtext:<tag> | 1 | inferensi, pelatihan | 

## Peramalan DeepAR (algoritma)
<a name="forecasting-deepar-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/forecasting-deepar:<tag> | 1 | inferensi, pelatihan | 

## Mesin Faktorisasi (algoritma)
<a name="factorization-machines-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/factorization-machines:<tag> | 1 | inferensi, pelatihan | 

## Hugging Face (algoritma)
<a name="huggingface-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inferensi | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | pelatihan | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | pelatihan | 

## Wawasan IP (algoritma)
<a name="ipinsights-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/ipinsights:<tag> | 1 | inferensi, pelatihan | 

## Klasifikasi gambar (algoritma)
<a name="image-classification-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/image-classification:<tag> | 1 | inferensi, pelatihan | 

## K-Means (algoritma)
<a name="kmeans-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/kmeans:<tag> | 1 | inferensi, pelatihan | 

## KNN (algoritma)
<a name="knn-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/knn:<tag> | 1 | inferensi, pelatihan | 

## Linear Learner (algoritma)
<a name="linear-learner-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/linear-learner:<tag> | 1 | inferensi, pelatihan | 

## MXNet (DLC)
<a name="mxnet-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.9.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.8.0 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inferensi | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.7.0 | pelatihan | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inferensi | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.6.0 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inferensi | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-training:<tag> | 1.4.1 | pelatihan | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inferensi | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algoritma)
<a name="model-monitor-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 437450045455.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | pemantauan | 

## NTM (algoritma)
<a name="ntm-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/ntm:<tag> | 1 | inferensi, pelatihan | 

## Deteksi Objek (algoritma)
<a name="object-detection-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/object-detection:<tag> | 1 | inferensi, pelatihan | 

## Object2Vec (algoritma)
<a name="object2vec-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/object2vec:<tag> | 1 | inferensi, pelatihan | 

## PCA (algoritma)
<a name="pca-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/pca:<tag> | 1 | inferensi, pelatihan | 

## PyTorch (DLC)
<a name="pytorch-eu-south-2"></a>

Untuk informasi tentang PyTorch versi yang didukung dan tidak didukung, lihat [Tabel Kebijakan Dukungan Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) di *Panduan Pengembang AWS Deep Learning Containers*.

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.7.1 | pelatihan | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inferensi | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.6.0 | pelatihan | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inferensi | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.5.1 | pelatihan | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inferensi | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inferensi\$1graviton | CPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.4.0 | pelatihan | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inferensi | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inferensi\$1graviton | CPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.3.0 | pelatihan | CPU, GPU | py311 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inferensi | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.2.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inferensi | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.1.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inferensi | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.1 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inferensi | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 2.0.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inferensi | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.13.1 | pelatihan | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inferensi\$1graviton | CPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.1 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.12.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.11.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.2 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.10.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.1 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inferensi | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.9.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.1 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.8.0 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.7.1 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.6.0 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.5.1 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.5.0 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inferensi | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.4.0 | pelatihan | CPU, GPU | py2, py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference-eia:<tag> | 1.3.1 | eia | CPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inferensi | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.3.1 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inferensi | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training:<tag> | 1.2.0 | pelatihan | CPU, GPU | py2, py3 | 

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

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | pelatihan | TRN | py38 | 

## PyTorch Kompiler Pelatihan (DLC)
<a name="pytorch-training-compiler-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | pelatihan | GPU | py38 | 

## Random Cut Forest (algoritma)
<a name="randomcutforest-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/randomcutforest:<tag> | 1 | inferensi, pelatihan | 

## Scikit-learn (algoritma)
<a name="sklearn-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inferensi\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0,23-1 | 0.23.2 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0,23-1 | 0.23.2 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | pelatihan | 

## Segmentasi Semantik (algoritma)
<a name="semantic-segmentation-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/semantic-segmentation:<tag> | 1 | inferensi, pelatihan | 

## Seq2Seq (algoritma)
<a name="seq2seq-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/seq2seq:<tag> | 1 | inferensi, pelatihan | 

## Spark (algoritma)
<a name="spark-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | pengolahan | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | pengolahan | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | pengolahan | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | pengolahan | 
| 833944533722.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | pengolahan | 

## Tensorflow (DLC)
<a name="tensorflow-eu-south-2"></a>

Untuk informasi tentang TensorFlow versi yang didukung dan tidak didukung, lihat [Tabel Kebijakan Dukungan Framework](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) di *Panduan Pengembang AWS Deep Learning Containers*.

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python | 
| --- | --- | --- | --- | --- | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | pelatihan | CPU, GPU | py312 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inferensi\$1graviton | CPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | pelatihan | CPU, GPU | py310 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | pelatihan | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | pelatihan | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | pelatihan | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inferensi\$1graviton | CPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | pelatihan | CPU, GPU | py39 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | pelatihan | CPU, GPU | py38 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | pelatihan | CPU, GPU | py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | pelatihan | CPU, GPU | py3, py36 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | pelatihan | CPU, GPU | py3, py36, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | pelatihan | CPU, GPU | py3, py36, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | pelatihan | CPU, GPU | py2, py3, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | pelatihan | CPU, GPU | py2, py3, py37 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inferensi | CPU, GPU | - | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | pelatihan | CPU, GPU | py2, py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | pelatihan | CPU, GPU | py3 | 
| 503227376785.dkr.ecr.eu-south-2.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inferensi | CPU, GPU | - | 

## XGBoost (algoritma)
<a name="xgboost-eu-south-2"></a>

Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.

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


| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) | 
| --- | --- | --- | --- | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1,7-1 | 1.7.4 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1,7-1 | 1.7.4 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1,5-1 | 1.5.2 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1,5-1 | 1.5.2 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1,5-1 | 1.5.2 | inferensi\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inferensi\$1graviton | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/xgboost:<tag> | 1 | 0,72 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/xgboost:<tag> | 1 | 0,72 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0,90-2 | 0,90 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0,90-2 | 0,90 | pelatihan | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0,90-1 | 0,90 | inferensi | 
| 104374241257.dkr.ecr.eu-south-2.amazonaws.com/sagemaker-xgboost:<tag> | 0,90-1 | 0,90 | pelatihan |