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 Israel (Tel Aviv) (il-central-1)
Topik berikut mencantumkan parameter untuk masing-masing algoritme dan wadah pembelajaran mendalam yang disediakan oleh Amazon SageMaker AI dalam hal ini AWS Region.
**Topics**
+ [AutoGluon (algoritma)](#autogluon-il-central-1)
+ [BlazingText (algoritma)](#blazingtext-il-central-1)
+ [DJL DeepSpeed (algoritma)](#djl-deepspeed-il-central-1)
+ [Data Wrangler (algoritma)](#data-wrangler-il-central-1)
+ [Peramalan DeepAR (algoritma)](#forecasting-deepar-il-central-1)
+ [Mesin Faktorisasi (algoritma)](#factorization-machines-il-central-1)
+ [Hugging Face (algoritma)](#huggingface-il-central-1)
+ [Wawasan IP (algoritma)](#ipinsights-il-central-1)
+ [Klasifikasi gambar (algoritma)](#image-classification-il-central-1)
+ [Inferensia MxNet (DLC)](#inferentia-mxnet-il-central-1)
+ [Inferensia PyTorch (DLC)](#inferentia-pytorch-il-central-1)
+ [K-Means (algoritma)](#kmeans-il-central-1)
+ [KNN (algoritma)](#knn-il-central-1)
+ [Linear Learner (algoritma)](#linear-learner-il-central-1)
+ [MxNet (DLC)](#mxnet-il-central-1)
+ [Model Monitor (algoritma)](#model-monitor-il-central-1)
+ [NTM (algoritma)](#ntm-il-central-1)
+ [Klasifikasi Gambar Neo (algoritma)](#image-classification-neo-il-central-1)
+ [Neo MxNet (DLC)](#neo-mxnet-il-central-1)
+ [Neo PyTorch (DLC)](#neo-pytorch-il-central-1)
+ [Neo Tensorflow (DLC)](#neo-tensorflow-il-central-1)
+ [Neo XGBoost (algoritma)](#xgboost-neo-il-central-1)
+ [Deteksi Objek (algoritma)](#object-detection-il-central-1)
+ [Object2Vec (algoritma)](#object2vec-il-central-1)
+ [PCA (algoritma)](#pca-il-central-1)
+ [PyTorch (DLC)](#pytorch-il-central-1)
+ [PyTorch Neuron (DLC)](#pytorch-neuron-il-central-1)
+ [PyTorch Kompiler Pelatihan (DLC)](#pytorch-training-compiler-il-central-1)
+ [Random Cut Forest (algoritma)](#randomcutforest-il-central-1)
+ [Scikit-learn (algoritma)](#sklearn-il-central-1)
+ [Segmentasi Semantik (algoritma)](#semantic-segmentation-il-central-1)
+ [Seq2Seq (algoritma)](#seq2seq-il-central-1)
+ [Spark (algoritma)](#spark-il-central-1)
+ [Tensorflow (DLC)](#tensorflow-il-central-1)
+ [Inferensia Tensorflow (DLC)](#inferentia-tensorflow-il-central-1)
+ [XGBoost (algoritma)](#xgboost-il-central-1)
## 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='il-central-1',image_scope='inference',version='0.4')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 1.3.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 1.3.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 1.2.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 1.2.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 1.1.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 1.1.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 1.1.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 1.1.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 1.0.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 1.0.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.8.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.8.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.7.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.7.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.6.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.6.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.6.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.6.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.5.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.5.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.4.3 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.4.3 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.4.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.4.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.4.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.4.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.3.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:{{}} | 0.3.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:{{}} | 0.3.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext:{{}} | 1 | inferensi, pelatihan |
## 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) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121- {{}} | 0.27.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121- {{}} | 0.26.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118- {{}} | 0.25.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118- {{}} | 0.24.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118- {{}} | 0.23.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118- {{}} | 0.22.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117- {{}} | 0.21.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116- {{}} | 0.20.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container:{{}} | 3.x | pengolahan |
## 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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.49.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.49.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.48.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.48.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.46.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.37.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.36.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.28.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.28.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.26.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.26.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.26.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.17.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.17.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.17.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.17.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.12.3 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.12.3 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.12.3 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.12.3 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.11.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.11.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.11.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.11.0 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.10.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.10.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.10.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.10.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.10.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.10.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.10.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.10.2 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.6.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.6.1 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:{{}} | 4.6.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:{{}} | 4.6.1 | inferensi |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.5.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:{{}} | 4.5.0 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:{{}} | 4.4.2 | pelatihan |
| 780543022126.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:{{}} | 1.8 | inferensi | inf | py3 |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1',version='1.9',py_version='py3')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{}} | 1.9 | inferensi | inf | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:{{}} | 1.8 | inferensi | inf | py3 |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn:{{}} | 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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{}} | 1.9.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{}} | 1.9.0 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{}} | 1.8.0 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{}} | 1.8.0 | inferensi | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{}} | 1.7.0 | pelatihan | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{}} | 1.7.0 | inferensi | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{}} | 1.7.0 | eia | CPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{}} | 1.6.0 | pelatihan | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{}} | 1.6.0 | inferensi | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{}} | 1.5.1 | eia | CPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:{{}} | 1.4.1 | pelatihan | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:{{}} | 1.4.1 | inferensi | CPU, GPU | py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:{{}} | 1.4.1 | eia | CPU | py2, 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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 843974653677.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 2.0 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.13 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.12 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.8 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.7 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.6 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:{{}} | 1.5 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:{{}} | 2.9.2 | inferensi | CPU, GPU | py3 |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 275950707576.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1',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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.7.1 | pelatihan | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.6.0 | inferensi | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.6.0 | pelatihan | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.5.1 | inferensi | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.5.1 | pelatihan | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.4.0 | inferensi | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.4.0 | inferensi\_graviton | CPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.4.0 | pelatihan | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.3.0 | inferensi | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.3.0 | inferensi\_graviton | CPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.3.0 | pelatihan | CPU, GPU | py311 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.2.1 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.2.0 | inferensi | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.2.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.1.0 | inferensi | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.1.0 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.1.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.0.1 | inferensi | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.0.1 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.0.1 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 2.0.0 | inferensi | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 2.0.0 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 2.0.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.13.1 | inferensi | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.13.1 | pelatihan | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.12.1 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:{{}} | 1.12.1 | inferensi\_graviton | CPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.12.1 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.12.0 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.12.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.11.0 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.11.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.10.2 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.10.2 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.10.0 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.10.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.9.1 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.9.1 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.9.0 | inferensi | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.9.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.8.1 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.8.1 | pelatihan | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.8.0 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.8.0 | pelatihan | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.7.1 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.7.1 | pelatihan | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.6.0 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.6.0 | pelatihan | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.5.0 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.5.0 | pelatihan | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.4.0 | inferensi | CPU, GPU | py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.4.0 | pelatihan | CPU, GPU | py2, py3, py36 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.3.1 | inferensi | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.3.1 | pelatihan | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:{{}} | 1.2.0 | inferensi | CPU, GPU | py2, py3 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:{{}} | 1.2.0 | pelatihan | CPU, GPU | py2, py3 |
## PyTorch Neuron (DLC)
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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron:{{}} | 1.11.0 | pelatihan | TRN | py38 |
## 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 |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:{{}} | 1.13.1 | pelatihan | GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest:{{}} | 1 | inferensi, pelatihan |
## 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='il-central-1',version='0.23-1',image_scope='inference')
```
| Jalur registri | Versi | Versi Package | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.2-1 | 1.2.1 | inferensi |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.2-1 | 1.2.1 | pelatihan |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | inferensi |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | pelatihan |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 1.0-1 | 1.0.2 | inferensi\_graviton |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,23-1 | 0.23.2 | inferensi |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 0,23-1 | 0.23.2 | pelatihan |
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:{{}} | 0.20.0 | 0.20.0 | inferensi |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 898809789911.dkr.ecr.il-central-1.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='il-central-1',version='3.0',image_scope='processing')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
| --- | --- | --- |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{}} | 3.3 | pengolahan |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{}} | 3.2 | pengolahan |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{}} | 3.1 | pengolahan |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{}} | 3.0 | pengolahan |
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:{{}} | 2.4 | pengolahan |
## 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='il-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
| --- | --- | --- | --- | --- |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.19.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.19.0 | pelatihan | CPU, GPU | py312 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.18.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.18.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.16.2 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.16.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{}} | 2.16.1 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.14.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{}} | 2.14.1 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.14.1 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.13.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{}} | 2.13.0 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.13.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.12.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{}} | 2.12.1 | inferensi\_graviton | CPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.12.0 | pelatihan | CPU, GPU | py310 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.11.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.11.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.11.0 | pelatihan | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.10.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.10.1 | pelatihan | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.10.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.9.3 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.9.2 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.9.2 | pelatihan | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:{{}} | 2.9.1 | inferensi\_graviton | CPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.8.4 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.8.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.8.0 | pelatihan | CPU, GPU | py39 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.7.1 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.7.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.6.3 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.6.3 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.6.2 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.6.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.6.0 | pelatihan | CPU, GPU | py38 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.5.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.5.1 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.5.0 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.4.3 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.4.3 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.4.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.4.1 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.3.2 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.3.2 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.3.1 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.3.1 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:{{}} | 2.3.0 | eia | CPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.3.0 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{}} | 2.3.0 | pelatihan | CPU, GPU | py37 |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:{{}} | 2.2.2 | inferensi | CPU, GPU | - |
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:{{