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Jalur Registri Docker dan Kode Contoh untuk China (Ningxia) (cn-northwest-1)
Topik berikut mencantumkan parameter untuk masing-masing algoritme dan wadah pembelajaran mendalam di wilayah ini yang disediakan oleh Amazon SageMaker.
Topik
- AutoGluon (algoritma)
- BlazingText (algoritma)
- Rantai (DLC)
- Klarifikasi (algoritma)
- DJL DeepSpeed (algoritma)
- Data Wrangler (algoritma)
- Debugger (algoritma)
- Peramalan DeepAR (algoritma)
- Mesin Faktorisasi (algoritma)
- Hugging Face (algoritma)
- Wawasan IP (algoritma)
- Klasifikasi gambar (algoritma)
- Inferensia MxNet (DLC)
- Inferensia PyTorch (DLC)
- K-Means (algoritma)
- KNN (algoritma)
- Linear Learner (algoritma)
- MxNet (DLC)
- Pelatih MxNet (DLC)
- Model Monitor (algoritma)
- NTM (algoritma)
- Klasifikasi Gambar Neo (algoritma)
- Neo MxNet (DLC)
- Neo PyTorch (DLC)
- Neo Tensorflow (DLC)
- Neo XGBoost (algoritma)
- Deteksi Objek (algoritma)
- Object2Vec (algoritma)
- PCA (algoritma)
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- Random Cut Forest (algoritma)
- Scikit-learn (algoritma)
- Segmentasi Semantik (algoritma)
- Seq2Seq (algoritma)
- Spark (algoritma)
- Penyajian SparkMl (algoritma)
- Tensorflow (DLC)
- Pelatih Tensorflow (DLC)
- Inferensia Tensorflow (DLC)
- Sinar Tensorflow (DLC)
- XGBoost (algoritma)
AutoGluon (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='cn-northwest-1',image_scope='inference',version='0.4')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.7.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.6.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.6.1 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.5.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.4.3 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.4.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.4.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.3.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/autogluon-inference: |
0.3.1 | inferensi |
BlazingText (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/blazingtext: |
1 | inferensi, pelatihan |
Rantai (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='cn-northwest-1',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 |
|---|---|---|---|---|
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-chainer: |
5.0.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-chainer: |
4.1.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-chainer: |
4.0.0 | inferensi, pelatihan | CPU, GPU | py2, py3 |
Klarifikasi (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='cn-northwest-1',version='1.0',image_scope='processing')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
122578899357.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-clarify-processing: |
1.0 | pengolahan |
DJL DeepSpeed (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
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) |
|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/djl-inference:0.22.1-deepspeed0.8.3-cu118- |
0.22.1 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/djl-inference:0.21.0-deepspeed0.8.3-cu117- |
0.21.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/djl-inference:0.20.0-deepspeed0.7.5-cu116- |
0.20.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/djl-inference:0.19.0-deepspeed0.7.3-cu113- |
0.19.0 | inferensi |
Data Wrangler (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='data-wrangler',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
249157047649.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-data-wrangler-container: |
2.x | pengolahan |
249157047649.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-data-wrangler-container: |
1.x | pengolahan |
Debugger (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
658757709296.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-debugger-rules: |
terbaru | debugger |
Peramalan DeepAR (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/forecasting-deepar: |
1 | inferensi, pelatihan |
Mesin Faktorisasi (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/factorization-machines: |
1 | inferensi, pelatihan |
Hugging Face (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='cn-northwest-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.26.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.26.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.26.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.17.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.17.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.17.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.17.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.12.3 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.12.3 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.12.3 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.12.3 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.11.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.11.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.11.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.11.0 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.10.2 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.10.2 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.10.2 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.10.2 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.10.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.10.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.10.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.10.2 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.6.1 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.6.1 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.6.1 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.6.1 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-inference: |
4.6.1 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-inference: |
4.6.1 | inferensi |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.5.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.5.0 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-pytorch-training: |
4.4.2 | pelatihan |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/huggingface-tensorflow-training: |
4.4.2 | pelatihan |
Wawasan IP (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/ipinsights: |
1 | inferensi, pelatihan |
Klasifikasi gambar (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/image-classification: |
1 | inferensi, pelatihan |
Inferensia MxNet (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='cn-northwest-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-mxnet: |
1.8 | inferensi | inf | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-mxnet: |
1.5.1 | inferensi | inf | py3 |
Inferensia PyTorch (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='cn-northwest-1',version='1.9',py_version='py3')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-pytorch: |
1.9 | inferensi | inf | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-pytorch: |
1.8 | inferensi | inf | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-pytorch: |
1.7 | inferensi | inf | py3 |
K-Means (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/kmeans: |
1 | inferensi, pelatihan |
KNN (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/knn: |
1 | inferensi, pelatihan |
Linear Learner (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/linear-learner: |
1 | inferensi, pelatihan |
MxNet (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='cn-northwest-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 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-training: |
1.9.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference: |
1.9.0 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-training: |
1.8.0 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference: |
1.8.0 | inferensi | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-training: |
1.7.0 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference: |
1.7.0 | inferensi | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference-eia: |
1.7.0 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-training: |
1.6.0 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference: |
1.6.0 | inferensi | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference-eia: |
1.5.1 | eia | CPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.4.1 | pelatihan | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-training: |
1.4.1 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet-serving: |
1.4.1 | inferensi | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference: |
1.4.1 | inferensi | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/mxnet-inference-eia: |
1.4.1 | eia | CPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.4.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet-serving: |
1.4.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet-serving-eia: |
1.4.0 | eia | CPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.3.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.3.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet-eia: |
1.3.0 | eia | CPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.2.1 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.2.1 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.1.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.1.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.0.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
1.0.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
0.12.1 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-mxnet: |
0.12.1 | inferensi | CPU, GPU | py2, py3 |
Pelatih MxNet (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='cn-northwest-1',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 |
|---|---|---|---|---|
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-mxnet:pelatih0.11.0- |
0.11.0 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-mxnet:pelatih0.11- |
0,11 | pelatihan | CPU, GPU | py3 |
Model Monitor (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
453252182341.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-model-monitor-analyzer: |
pemantauan |
NTM (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/ntm: |
1 | inferensi, pelatihan |
Klasifikasi Gambar Neo (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/image-classification-neo: |
terbaru | inferensi |
Neo MxNet (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='cn-northwest-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 |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-mxnet: |
1.8 | inferensi | CPU, GPU | py3 |
Neo PyTorch (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='cn-northwest-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.13 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.12 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.8 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.7 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.6 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.5 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-pytorch: |
1.4 | inferensi | CPU, GPU | py3 |
Neo Tensorflow (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='cn-northwest-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-tensorflow: |
2.9.2 | inferensi | CPU, GPU | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-inference-tensorflow: |
1.15.3 | inferensi | CPU, GPU | py3 |
Neo XGBoost (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/xgboost-neo: |
terbaru | inferensi |
Deteksi Objek (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/object-detection: |
1 | inferensi, pelatihan |
Object2Vec (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/object2vec: |
1 | inferensi, pelatihan |
PCA (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pca: |
1 | inferensi, pelatihan |
PyTorch (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='cn-northwest-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 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
2.0.0 | inferensi | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
2.0.0 | pelatihan | CPU, GPU | py310 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.13.1 | inferensi | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.13.1 | pelatihan | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.12.1 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference-graviton: |
1.12.1 | inferensi_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.12.1 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.12.0 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.12.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.11.0 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.11.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.10.2 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.10.2 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.10.0 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.10.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.9.1 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.9.1 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.9.0 | inferensi | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.9.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.8.1 | inferensi | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.8.1 | pelatihan | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.8.0 | inferensi | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.8.0 | pelatihan | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.7.1 | inferensi | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.7.1 | pelatihan | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.6.0 | inferensi | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.6.0 | pelatihan | CPU, GPU | py3, py36 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.5.0 | inferensi | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.5.0 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.4.0 | inferensi | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.4.0 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference-eia: |
1.3.1 | eia | CPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.3.1 | inferensi | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.3.1 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-inference: |
1.2.0 | inferensi | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training: |
1.2.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
1.1.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
1.1.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
1.0.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
1.0.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
0.4.0 | inferensi | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-pytorch: |
0.4.0 | pelatihan | CPU, GPU | py2, py3 |
PyTorch Neuron (DLC)
SageMaker Contoh 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 |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/pytorch-training-neuron: |
1.11.0 | pelatihan | TRN | py38 |
Random Cut Forest (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/randomcutforest: |
1 | inferensi, pelatihan |
Scikit-learn (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='cn-northwest-1',version='0.23-1',image_scope='inference')
| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) |
|---|---|---|---|
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
1.2-1 | 1.2.1 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
1.2-1 | 1.2.1 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
1.0-1 | 1.0.2 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
1.0-1 | 1.0.2 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
1.0-1 | 1.0.2 | inferensi_graviton |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
0,23-1 | 0.23.2 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
0,23-1 | 0.23.2 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
0.20.0 | 0.20.0 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-scikit-learn: |
0.20.0 | 0.20.0 | pelatihan |
Segmentasi Semantik (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/semantic-segmentation: |
1 | inferensi, pelatihan |
Seq2Seq (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='cn-northwest-1')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/seq2seq: |
1 | inferensi, pelatihan |
Spark (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='cn-northwest-1',version='3.0',image_scope='processing')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
844356804704.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-spark-processing: |
3.2 | pengolahan |
844356804704.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-spark-processing: |
3.1 | pengolahan |
844356804704.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-spark-processing: |
3.0 | pengolahan |
844356804704.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-spark-processing: |
2.4 | pengolahan |
Penyajian SparkMl (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='cn-northwest-1',version='2.4')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) |
|---|---|---|
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-sparkml-serving: |
3.3 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-sparkml-serving: |
2.4 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-sparkml-serving: |
2.2 | inferensi |
Tensorflow (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='cn-northwest-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.12.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.11.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.11.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.11.0 | pelatihan | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.10.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.10.1 | pelatihan | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.10.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.9.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.9.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.9.2 | pelatihan | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference-graviton: |
2.9.1 | inferensi_graviton | CPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.8.4 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.8.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.8.0 | pelatihan | CPU, GPU | py39 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.7.1 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.7.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.6.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.6.3 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.6.2 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.6.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.6.0 | pelatihan | CPU, GPU | py38 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.5.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.5.1 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.5.0 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.4.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.4.3 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.4.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.4.1 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.3.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.3.2 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.3.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.3.1 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference-eia: |
2.3.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.3.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.3.0 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.2.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.2.2 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.2.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.2.1 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.2.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.2.0 | pelatihan | CPU, GPU | py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.1.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.1.3 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.1.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.1.2 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.1.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.1.1 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.1.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.1.0 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.0.4 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.0.4 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.0.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.0.3 | pelatihan | CPU, GPU | py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.0.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.0.2 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.0.1 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.0.1 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference-eia: |
2.0.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
2.0.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
2.0.0 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.15.5 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.15.5 | pelatihan | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.15.4 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.15.4 | pelatihan | CPU, GPU | py3, py36, py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.15.3 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.15.3 | pelatihan | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.15.2 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.15.2 | pelatihan | CPU, GPU | py2, py3, py37 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference-eia: |
1.15.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.15.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.15.0 | pelatihan | CPU, GPU | py2, py3 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference-eia: |
1.14.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.14.0 | inferensi | CPU, GPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.14.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode: |
1.13.1 | pelatihan | CPU, GPU | py2 |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-training: |
1.13.1 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia: |
1.13.0 | eia | CPU | - |
727897471807.dkr.ecr.cn-northwest-1.amazonaws.com.cn/tensorflow-inference: |
1.13.0 | inferensi | CPU, GPU | - |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia: |
1.12.0 | eia | CPU | - |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-serving: |
1.12.0 | inferensi | CPU, GPU | - |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode: |
1.12.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-serving-eia: |
1.11.0 | eia | CPU | - |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-serving: |
1.11.0 | inferensi | CPU, GPU | - |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-scriptmode: |
1.11.0 | pelatihan | CPU, GPU | py2, py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow-eia: |
1.10.0 | eia | CPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.10.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.10.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.9.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.9.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.8.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.8.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.7.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.7.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.6.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.6.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.5.0 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.5.0 | pelatihan | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.4.1 | inferensi | CPU, GPU | py2 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-tensorflow: |
1.4.1 | pelatihan | CPU, GPU | py2 |
Pelatih Tensorflow (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='cn-northwest-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:pelatih0.11.1- |
0.11.1 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:pelatih0.11.0- |
0.11.0 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:pelatih0.11- |
0,11 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:pelatih0.10.1- |
0.10.1 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:pelatih0.10- |
0,10 | pelatihan | CPU, GPU | py3 |
Inferensia Tensorflow (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='cn-northwest-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-tensorflow: |
2.5.2 | inferensi | inf | py3 |
474822919863.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-neo-tensorflow: |
1.15.0 | inferensi | inf | py3 |
Sinar Tensorflow (DLC)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='cn-northwest-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| Jalur registri | Versi | Jenis pekerjaan (cakupan gambar) | Jenis prosesor | Versi Python |
|---|---|---|---|---|
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6.5- |
0.6.5 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.6- |
0,6 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5.3- |
0.5.3 | pelatihan | CPU, GPU | py3 |
423003514399.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-rl-tensorflow:ray0.5- |
0,5 | pelatihan | CPU, GPU | py3 |
XGBoost (algoritma)
SageMaker Contoh Python SDK untuk mengambil jalur registri.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='cn-northwest-1',version='1.5-1')
| Jalur registri | Versi | Versi paket | Jenis pekerjaan (cakupan gambar) |
|---|---|---|---|
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1,7-1 | 1.7.4 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1,7-1 | 1.7.4 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1,5-1 | 1.5.2 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1,5-1 | 1.5.2 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1,5-1 | 1.5.2 | inferensi_graviton |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.3-1 | 1.3.3 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.3-1 | 1.3.3 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.3-1 | 1.3.3 | inferensi_graviton |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.2-2 | 1.2.0 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.2-2 | 1.2.0 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.2-1 | 1.2.0 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.2-1 | 1.2.0 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.0-1 | 1.0.0 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
1.0-1 | 1.0.0 | pelatihan |
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/xgboost: |
1 | 0,72 | inferensi |
387376663083.dkr.ecr.cn-northwest-1.amazonaws.com.cn/xgboost: |
1 | 0,72 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
0,90-2 | 0,90 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
0,90-2 | 0,90 | pelatihan |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
0,90-1 | 0,90 | inferensi |
451049120500.dkr.ecr.cn-northwest-1.amazonaws.com.cn/sagemaker-xgboost: |
0,90-1 | 0,90 | pelatihan |
