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 (Zurich) (eu-central-2)
Topik berikut mencantumkan parameter untuk masing-masing algoritme dan wadah pembelajaran mendalam di wilayah ini yang disediakan oleh Amazon SageMaker AI.
Topik
- AutoGluon (algoritma)
- BlazingText (algoritma)
- Peramalan DeepAR (algoritma)
- Mesin Faktorisasi (algoritma)
- Hugging Face (algoritma)
- Wawasan IP (algoritma)
- Klasifikasi gambar (algoritma)
- K-Means (algoritma)
- KNN (algoritma)
- Linear Learner (algoritma)
- MXNet (DLC)
- NTM (algoritma)
- Deteksi Objek (algoritma)
- Object2Vec (algoritma)
- PCA (algoritma)
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- PyTorch Kompiler Pelatihan (DLC)
- Random Cut Forest (algoritma)
- Scikit-learn (algoritma)
- Segmentasi Semantik (algoritma)
- Seq2Seq (algoritma)
- Tensorflow (DLC)
- XGBoost (algoritma)
AutoGluon (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='eu-central-2',image_scope='inference',version='0.4')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.5.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.4.3 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.4.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.4.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.4.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.3.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training:<tag> |
0.3.1 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference:<tag> |
0.3.1 | inferensi |
BlazingText (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/blazingtext:<tag> |
1 | inferensi, pelatihan |
Peramalan DeepAR (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/forecasting-deepar:<tag> |
1 | inferensi, pelatihan |
Mesin Faktorisasi (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/factorization-machines:<tag> |
1 | inferensi, pelatihan |
Hugging Face (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='eu-central-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.26.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.26.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | inferensi |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | pelatihan |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.4.2 | pelatihan |
Wawasan IP (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/ipinsights:<tag> |
1 | inferensi, pelatihan |
Klasifikasi gambar (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/image-classification:<tag> |
1 | inferensi, pelatihan |
K-Means (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/kmeans:<tag> |
1 | inferensi, pelatihan |
KNN (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/knn:<tag> |
1 | inferensi, pelatihan |
Linear Learner (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/linear-learner:<tag> |
1 | inferensi, pelatihan |
MXNet (DLC)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='eu-central-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 |
|---|---|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> |
1.9.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> |
1.8.0 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | inferensi | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> |
1.7.0 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | inferensi | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> |
1.6.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | inferensi | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training:<tag> |
1.4.1 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | inferensi | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
NTM (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/ntm:<tag> |
1 | inferensi, pelatihan |
Deteksi Objek (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/object-detection:<tag> |
1 | inferensi, pelatihan |
Object2Vec (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/object2vec:<tag> |
1 | inferensi, pelatihan |
PCA (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/pca:<tag> |
1 | inferensi, pelatihan |
PyTorch (DLC)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='eu-central-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 |
|---|---|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> |
2.0.0 | inferensi_graviton | CPU | py310 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.12.1 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton:<tag> |
1.12.1 | inferensi_graviton | CPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.12.1 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.12.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.11.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.10.2 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.10.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.9.1 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | inferensi | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.9.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | inferensi | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.8.1 | pelatihan | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | inferensi | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.8.0 | pelatihan | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | inferensi | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.7.1 | pelatihan | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | inferensi | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.6.0 | pelatihan | CPU, GPU | py3, py36 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia:<tag> |
1.5.1 | eia | CPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | inferensi | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.5.0 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | inferensi | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.4.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia:<tag> |
1.3.1 | eia | CPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | inferensi | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.3.1 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | inferensi | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training:<tag> |
1.2.0 | pelatihan | CPU, GPU | py2, py3 |
PyTorch Neuron (DLC)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
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 |
|---|---|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training-neuron:<tag> |
1.11.0 | pelatihan | TRN | py38 |
PyTorch Kompiler Pelatihan (DLC)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
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 |
|---|---|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-trcomp-training:<tag> |
1.12.0 | pelatihan | GPU | py38 |
Random Cut Forest (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/randomcutforest:<tag> |
1 | inferensi, pelatihan |
Scikit-learn (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='eu-central-2',version='0.23-1',image_scope='inference')
| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) |
|---|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inferensi_graviton |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0.23.2 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0.23.2 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | pelatihan |
Segmentasi Semantik (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/semantic-segmentation:<tag> |
1 | inferensi, pelatihan |
Seq2Seq (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='eu-central-2')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/seq2seq:<tag> |
1 | inferensi, pelatihan |
Tensorflow (DLC)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='eu-central-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.12.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.11.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.11.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.10.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | pelatihan | CPU, GPU | py39 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.10.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.9.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | pelatihan | CPU, GPU | py39 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | inferensi_graviton | CPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | pelatihan | CPU, GPU | py39 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | pelatihan | CPU, GPU | py38 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | pelatihan | CPU, GPU | py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.15.5 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.15.5 | pelatihan | CPU, GPU | py3, py36, py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.15.4 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.15.4 | pelatihan | CPU, GPU | py3, py36, py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.15.3 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.15.3 | pelatihan | CPU, GPU | py2, py3, py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | pelatihan | CPU, GPU | py2, py3, py37 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | inferensi | CPU, GPU | - |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | pelatihan | CPU, GPU | py2, py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | pelatihan | CPU, GPU | py3 |
380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference:<tag> |
1.13.0 | inferensi | CPU, GPU | - |
XGBoost (algoritma)
SageMaker Contoh AI Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='eu-central-2',version='1.5-1')
| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) |
|---|---|---|---|
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1,7-1 | 1.7.4 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1,7-1 | 1.7.4 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | inferensi_graviton |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inferensi_graviton |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost:<tag> |
1 | 0,72 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost:<tag> |
1 | 0,72 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0,90 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0,90 | pelatihan |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0,90 | inferensi |
680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0,90 | pelatihan |
