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 (London) (eu-west-2)
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-west-2)
+ [BlazingText (algoritma)](#blazingtext-eu-west-2)
+ [Rantai (DLC)](#chainer-eu-west-2)
+ [Klarifikasi (algoritma)](#clarify-eu-west-2)
+ [DJL DeepSpeed (algoritma)](#djl-deepspeed-eu-west-2)
+ [Data Wrangler (algoritma)](#data-wrangler-eu-west-2)
+ [Debugger (algoritma)](#debugger-eu-west-2)
+ [Peramalan DeepAR (algoritma)](#forecasting-deepar-eu-west-2)
+ [Mesin Faktorisasi (algoritma)](#factorization-machines-eu-west-2)
+ [Hugging Face (algoritma)](#huggingface-eu-west-2)
+ [Wawasan IP (algoritma)](#ipinsights-eu-west-2)
+ [Klasifikasi gambar (algoritma)](#image-classification-eu-west-2)
+ [Inferensia MXNet (DLC)](#inferentia-mxnet-eu-west-2)
+ [Inferensia PyTorch (DLC)](#inferentia-pytorch-eu-west-2)
+ [K-Means (algoritma)](#kmeans-eu-west-2)
+ [KNN (algoritma)](#knn-eu-west-2)
+ [LDA (algoritma)](#lda-eu-west-2)
+ [Linear Learner (algoritma)](#linear-learner-eu-west-2)
+ [MXNet (DLC)](#mxnet-eu-west-2)
+ [MXNet Pelatih (DLC)](#coach-mxnet-eu-west-2)
+ [Model Monitor (algoritma)](#model-monitor-eu-west-2)
+ [NTM (algoritma)](#ntm-eu-west-2)
+ [Klasifikasi Gambar Neo (algoritma)](#image-classification-neo-eu-west-2)
+ [Neo MXNet (DLC)](#neo-mxnet-eu-west-2)
+ [Neo PyTorch (DLC)](#neo-pytorch-eu-west-2)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-eu-west-2)
+ [Neo XGBoost (algoritma)](#xgboost-neo-eu-west-2)
+ [Deteksi Objek (algoritma)](#object-detection-eu-west-2)
+ [Object2Vec (algoritma)](#object2vec-eu-west-2)
+ [PCA (algoritma)](#pca-eu-west-2)
+ [PyTorch (DLC)](#pytorch-eu-west-2)
+ [PyTorch Kompiler Pelatihan (DLC)](#pytorch-training-compiler-eu-west-2)
+ [Random Cut Forest (algoritma)](#randomcutforest-eu-west-2)
+ [Sinar PyTorch (DLC)](#ray-pytorch-eu-west-2)
+ [Scikit-learn (algoritma)](#sklearn-eu-west-2)
+ [Segmentasi Semantik (algoritma)](#semantic-segmentation-eu-west-2)
+ [Seq2Seq (algoritma)](#seq2seq-eu-west-2)
+ [Spark (algoritma)](#spark-eu-west-2)
+ [Penyajian SparkMl (algoritma)](#sparkml-serving-eu-west-2)
+ [Tensorflow (DLC)](#tensorflow-eu-west-2)
+ [Pelatih Tensorflow (DLC)](#coach-tensorflow-eu-west-2)
+ [Inferensia Tensorflow (DLC)](#inferentia-tensorflow-eu-west-2)
+ [Sinar Tensorflow (DLC)](#ray-tensorflow-eu-west-2)
+ [VW (algoritma)](#vw-eu-west-2)
+ [XGBoost (algoritma)](#xgboost-eu-west-2)
## AutoGluon (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='eu-west-2',image_scope='inference',version='0.4')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 1.3.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 1.3.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 1.2.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 1.2.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 1.1.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 1.1.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 1.1.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 1.1.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 1.0.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 1.0.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.8.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.8.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.7.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.7.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.6.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.6.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.6.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.6.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.5.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.5.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.4.3 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.4.3 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.4.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.4.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.4.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.4.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.3.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.3.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-training: | 0.3.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/autogluon-inference: | 0.3.1 | inferensi |
## BlazingText (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/blazingtext: | 1 | inferensi, pelatihan |
## Rantai (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='chainer',region='eu-west-2',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer: | 5.0.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer: | 4.1.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-chainer: | 4.0.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
## Klarifikasi (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='clarify',region='eu-west-2',version='1.0',image_scope='processing')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 440796970383.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-clarify-processing: | 1.0 | pengolahan |
## DJL DeepSpeed (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121- | 0.27.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121- | 0.26.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118- | 0.25.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118- | 0.24.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118- | 0.23.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118- | 0.22.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117- | 0.21.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116- | 0.20.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113- | 0.19.0 | inferensi |
## Data Wrangler (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container: | 3.x | pengolahan |
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container: | 2.x | pengolahan |
| 894491911112.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-data-wrangler-container: | 1.x | pengolahan |
## Debugger (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='debugger',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 250201462417.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-debugger-rules: | terbaru | debugger |
## Peramalan DeepAR (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/forecasting-deepar: | 1 | inferensi, pelatihan |
## Mesin Faktorisasi (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/factorization-machines: | 1 | inferensi, pelatihan |
## Hugging Face (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='eu-west-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.49.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.49.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.48.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.48.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.46.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.37.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.36.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.28.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.28.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.26.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.26.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.26.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.17.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.17.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.17.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.17.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.12.3 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.12.3 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.12.3 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.12.3 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.11.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.11.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.11.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.11.0 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.6.1 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-inference: | 4.6.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-inference: | 4.6.1 | inferensi |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.5.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.5.0 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-pytorch-training: | 4.4.2 | pelatihan |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/huggingface-tensorflow-training: | 4.4.2 | pelatihan |
## Wawasan IP (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/ipinsights: | 1 | inferensi, pelatihan |
## Klasifikasi gambar (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/image-classification: | 1 | inferensi, pelatihan |
## Inferensia MXNet (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='eu-west-2',version='1.5.1',instance_type='ml.inf1.6xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-mxnet: | 1.8 | inferensi | inf | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-mxnet: | 1.5.1 | inferensi | inf | py3 |
## Inferensia PyTorch (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='eu-west-2',version='1.9',py_version='py3')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch: | 1.9 | inferensi | inf | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch: | 1.8 | inferensi | inf | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-neo-pytorch: | 1.7 | inferensi | inf | py3 |
## K-Means (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/kmeans: | 1 | inferensi, pelatihan |
## KNN (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/knn: | 1 | inferensi, pelatihan |
## LDA (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='lda',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/lda: | 1 | inferensi, pelatihan |
## Linear Learner (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/linear-learner: | 1 | inferensi, pelatihan |
## MXNet (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='eu-west-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 |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training: | 1.9.0 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference: | 1.9.0 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training: | 1.8.0 | pelatihan | CPU, GPU | py37 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference: | 1.8.0 | inferensi | CPU, GPU | py37 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training: | 1.7.0 | pelatihan | CPU, GPU | py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference: | 1.7.0 | inferensi | CPU, GPU | py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia: | 1.7.0 | eia | CPU | py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training: | 1.6.0 | pelatihan | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference: | 1.6.0 | inferensi | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia: | 1.5.1 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.4.1 | pelatihan | CPU, GPU | py2 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-training: | 1.4.1 | pelatihan | CPU, GPU | py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving: | 1.4.1 | inferensi | CPU, GPU | py2 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference: | 1.4.1 | inferensi | CPU, GPU | py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/mxnet-inference-eia: | 1.4.1 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.4.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving: | 1.4.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-serving-eia: | 1.4.0 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.3.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.3.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet-eia: | 1.3.0 | eia | CPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.2.1 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.2.1 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.1.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.1.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.0.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 1.0.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 0.12.1 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-mxnet: | 0.12.1 | inferensi | CPU, GPU | py2, py3 |
## MXNet Pelatih (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='coach-mxnet',region='eu-west-2',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-mxnet:pelatih0.11.0- | 0.11.0 | pelatihan | CPU, GPU | py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-mxnet:pelatih0.11- | 0,11 | pelatihan | CPU, GPU | py3 |
## Model Monitor (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 749857270468.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-model-monitor-analyzer: | | pemantauan |
## NTM (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/ntm: | 1 | inferensi, pelatihan |
## Klasifikasi Gambar Neo (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/image-classification-neo: | terbaru | inferensi |
## Neo MXNet (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='eu-west-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-mxnet: | 1.8 | inferensi | CPU, GPU | py3 |
## Neo PyTorch (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='eu-west-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 2.0 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.13 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.12 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.8 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.7 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.6 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.5 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-pytorch: | 1.4 | inferensi | CPU, GPU | py3 |
## Neo Tensorflow (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='eu-west-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-tensorflow: | 2.9.2 | inferensi | CPU, GPU | py3 |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-inference-tensorflow: | 1.15.3 | inferensi | CPU, GPU | py3 |
## Neo XGBoost (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 205493899709.dkr.ecr.eu-west-2.amazonaws.com/xgboost-neo: | terbaru | inferensi |
## Deteksi Objek (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/object-detection: | 1 | inferensi, pelatihan |
## Object2Vec (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/object2vec: | 1 | inferensi, pelatihan |
## PCA (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/pca: | 1 | inferensi, pelatihan |
## PyTorch (DLC)
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-west-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 |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.7.1 | pelatihan | CPU, GPU | py312 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.6.0 | inferensi | CPU, GPU | py312 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.6.0 | pelatihan | CPU, GPU | py312 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.5.1 | inferensi | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.5.1 | pelatihan | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.4.0 | inferensi | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.4.0 | inferensi\$1graviton | CPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.4.0 | pelatihan | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.3.0 | inferensi | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.3.0 | inferensi\$1graviton | CPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.3.0 | pelatihan | CPU, GPU | py311 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.2.1 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.2.0 | inferensi | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.2.0 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.1.0 | inferensi | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.1.0 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.1.0 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.0.1 | inferensi | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.0.1 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.0.1 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 2.0.0 | inferensi | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 2.0.0 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 2.0.0 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.13.1 | inferensi | CPU, GPU | py39 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.13.1 | pelatihan | CPU, GPU | py39 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.12.1 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference-graviton: | 1.12.1 | inferensi\$1graviton | CPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.12.1 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.12.0 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.12.0 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.11.0 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.11.0 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.10.2 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.10.2 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.10.0 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.10.0 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.9.1 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.9.1 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.9.0 | inferensi | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.9.0 | pelatihan | CPU, GPU | py38 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.8.1 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.8.1 | pelatihan | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.8.0 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.8.0 | pelatihan | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.7.1 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.7.1 | pelatihan | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.6.0 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.6.0 | pelatihan | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.5.0 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.5.0 | pelatihan | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.4.0 | inferensi | CPU, GPU | py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.4.0 | pelatihan | CPU, GPU | py2, py3, py36 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.3.1 | inferensi | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.3.1 | pelatihan | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-inference: | 1.2.0 | inferensi | CPU, GPU | py2, py3 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-training: | 1.2.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 1.1.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 1.1.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 1.0.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 1.0.0 | pelatihan | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 0.4.0 | inferensi | CPU, GPU | py2, py3 |
| 520713654638.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-pytorch: | 0.4.0 | pelatihan | CPU, GPU | py2, py3 |
## PyTorch Kompiler Pelatihan (DLC)
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 |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-trcomp-training: | 1.13.1 | pelatihan | GPU | py39 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/pytorch-trcomp-training: | 1.12.0 | pelatihan | GPU | py38 |
## Random Cut Forest (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/randomcutforest: | 1 | inferensi, pelatihan |
## Sinar PyTorch (DLC)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='ray-pytorch',region='eu-west-2',version='0.8.5',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container: sinar-1.6.0-obor- | 1.6.0 | pelatihan | CPU, GPU | py36 |
| 462105765813.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-rl-ray-container:sinar-0.8.5-obor- | 0.8.5 | pelatihan | CPU, GPU | py36 |
## Scikit-learn (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='eu-west-2',version='0.23-1',image_scope='inference')
```
| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- | --- |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | pelatihan |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | pelatihan |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | inferensi\$1graviton |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 0,23-1 | 0.23.2 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 0,23-1 | 0.23.2 | pelatihan |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | pelatihan |
## Segmentasi Semantik (algoritma)
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-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/semantic-segmentation: | 1 | inferensi, pelatihan |
## Seq2Seq (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='eu-west-2')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 644912444149.dkr.ecr.eu-west-2.amazonaws.com/seq2seq: | 1 | inferensi, pelatihan |
## Spark (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='eu-west-2',version='3.0',image_scope='processing')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing: | 3.3 | pengolahan |
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing: | 3.2 | pengolahan |
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing: | 3.1 | pengolahan |
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing: | 3.0 | pengolahan |
| 836651553127.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-spark-processing: | 2.4 | pengolahan |
## Penyajian SparkMl (algoritma)
Contoh SageMaker AI Python SDK berikut menunjukkan cara mengambil jalur registri tertentu.
```
from sagemaker import image_uris
image_uris.retrieve(framework='sparkml-serving',region='eu-west-2',version='2.4')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving: | 3.3 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving: | 2.4 | inferensi |
| 764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-sparkml-serving: | 2.2 | inferensi |
## Tensorflow (DLC)
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-west-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.19.0 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: | 2.19.0 | pelatihan | CPU, GPU | py312 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.18.0 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: | 2.18.0 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: | 2.16.2 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.16.1 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton: | 2.16.1 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.14.1 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton: | 2.14.1 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: | 2.14.1 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.13.0 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton: | 2.13.0 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: | 2.13.0 | pelatihan | CPU, GPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference: | 2.12.1 | inferensi | CPU, GPU | - |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-inference-graviton: | 2.12.1 | inferensi\$1graviton | CPU | py310 |
| 763104351884.dkr.ecr.eu-west-2.amazonaws.com/tensorflow-training: