Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich.
Docker-Registrierungspfade und Beispielcode für AWS GovCloud (US-West) (us-gov-west-1)
In den folgenden Themen sind Parameter für jeden der von Amazon bereitgestellten Algorithmen und Deep-Learning-Container in dieser Region aufgeführt SageMaker.
Themen
- AutoGluon (Algorithmus)
- BlazingText (Algorithmus)
- Chainer (DLC)
- Clarify (Algorithmus)
- Debugger (Algorithmus)
- DeepAR Forecasting (Algorithmus)
- Factorization Machines (Algorithmus)
- Hugging Face (Algorithmus)
- IP Insights (Algorithmus)
- Bildklassifizierung (Algorithmus)
- Inferentia MXNet (DLC)
- Inferentia PyTorch (DLC)
- K-Means (Algorithmus)
- KNN (Algorithmus)
- LDA (Algorithmus)
- Linear Learner (Algorithmus)
- MXNet (DLC)
- MXNet Coach (DLC)
- NTM (Algorithmus)
- Neo Bildklassifizierung (Algorithmus)
- Neo MXNet (DLC)
- Neo PyTorch (DLC)
- Neo Tensorflow (DLC)
- Neo XGBoost (Algorithmus)
- Object Detection (Algorithmus)
- Object2Vec (Algorithmus)
- PCA (Algorithmus)
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- Random Cut Forest (Algorithmus)
- Scikit-learn (Algorithmus)
- Semantic Segmentation (Algorithmus)
- Seq2Seq (Algorithmus)
- Spark (Algorithmus)
- SparkML Serving (Algorithmus)
- Tensorflow (DLC)
- Tensorflow Coach (DLC)
- Tensorflow Inferentia (DLC)
- Tensorflow Ray (DLC)
- XGBoost-Algorithmus
AutoGluon (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='us-gov-west-1',image_scope='inference',version='0.4')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.7.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.7.0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.6.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.6.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.6.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.6.1 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.5.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.4.3 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.4.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0,4,0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0,4,0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.3.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-training:<tag> |
0.3.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/autogluon-inference:<tag> |
0.3.1 | Inferenz |
BlazingText (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/blazingtext:<tag> |
1 | Inferenz, Training |
Chainer (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='chainer',region='us-gov-west-1',version='5.0.0',py_version='py3',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> |
5.0.0 | Inferenz, Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> |
4.1.0 | Inferenz, Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-chainer:<tag> |
4.0.0 | Inferenz, Training | CPU, GPU | py2, py3 |
Clarify (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='us-gov-west-1',version='1.0',image_scope='processing')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
598674086554.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-clarify-processing:<tag> |
1,0 | Verarbeitung |
Debugger (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='debugger',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
515509971035.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-debugger-rules:<tag> |
brandneue | Debugger |
DeepAR Forecasting (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/forecasting-deepar:<tag> |
1 | Inferenz, Training |
Factorization Machines (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/factorization-machines:<tag> |
1 | Inferenz, Training |
Hugging Face (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='us-gov-west-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.26.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4,26,0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4,26,0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17,0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17,0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17,0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17,0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | Inferenz |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | Training |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.4.2 | Training |
IP Insights (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ipinsights:<tag> |
1 | Inferenz, Training |
Bildklassifizierung (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification:<tag> |
1 | Inferenz, Training |
Inferentia MXNet (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='us-gov-west-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> |
1.8 | Inferenz | inf | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-mxnet:<tag> |
1.5.1 | Inferenz | inf | py3 |
Inferentia PyTorch (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='us-gov-west-1',version='1.9',py_version='py3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1.9 | Inferenz | inf | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1.8 | Inferenz | inf | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-pytorch:<tag> |
1,7 | Inferenz | inf | py3 |
K-Means (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/kmeans:<tag> |
1 | Inferenz, Training |
KNN (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/knn:<tag> |
1 | Inferenz, Training |
LDA (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='lda',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/lda:<tag> |
1 | Inferenz, Training |
Linear Learner (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/linear-learner:<tag> |
1 | Inferenz, Training |
MXNet (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='us-gov-west-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> |
1.8.0 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> |
1.7.0 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | Inferenz | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> |
1.6.0 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.4.1 | Training | CPU, GPU | py2 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-training:<tag> |
1.4.1 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> |
1.4.1 | Inferenz | CPU, GPU | py2 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | Inferenz | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.4.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving:<tag> |
1.4.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-serving-eia:<tag> |
1.4.0 | eia | CPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.3.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.3.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet-eia:<tag> |
1.3.0 | eia | CPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.2.1 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.2.1 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.1.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.1.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.0.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
1.0.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
0.12.1 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-mxnet:<tag> |
0.12.1 | Inferenz | CPU, GPU | py2, py3 |
MXNet Coach (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='coach-mxnet',region='us-gov-west-1',version='0.11',py_version='py3',image_scope='training',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11.0-<tag> |
0.11.0 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-mxnet:coach0.11-<tag> |
0.11 | Training | CPU, GPU | py3 |
NTM (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/ntm:<tag> |
1 | Inferenz, Training |
Neo Bildklassifizierung (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/image-classification-neo:<tag> |
brandneue | Inferenz |
Neo MXNet (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='us-gov-west-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-mxnet:<tag> |
1.8 | Inferenz | CPU, GPU | py3 |
Neo PyTorch (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='us-gov-west-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.13 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.12 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.8 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1,7 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1,6 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.5 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-pytorch:<tag> |
1.4 | Inferenz | CPU, GPU | py3 |
Neo Tensorflow (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='us-gov-west-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> |
2.9.2 | Inferenz | CPU, GPU | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> |
1.15,3 | Inferenz | CPU, GPU | py3 |
Neo XGBoost (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/xgboost-neo:<tag> |
brandneue | Inferenz |
Object Detection (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object-detection:<tag> |
1 | Inferenz, Training |
Object2Vec (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/object2vec:<tag> |
1 | Inferenz, Training |
PCA (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/pca:<tag> |
1 | Inferenz, Training |
PyTorch (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='us-gov-west-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | py310 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
2.0.0 | Training | CPU, GPU | py310 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.13.1 | Inferenz | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.13.1 | Training | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.12.1 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference-graviton:<tag> |
1.12.1 | inference_graviton | CPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.12.1 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.12.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.11.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.10.2 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.10.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.9.1 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | Inferenz | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.8.1 | Training | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.8.0 | Training | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | Inferenz | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.7.1 | Training | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.6.0 | Training | CPU, GPU | py3, py36 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | Inferenz | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.5.0 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | Inferenz | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.4.0 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | Inferenz | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.3.1 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | Inferenz | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training:<tag> |
1.2.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.1.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.1.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.0.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
1.0.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
0.4.0 | Inferenz | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-pytorch:<tag> |
0,4,0 | Training | CPU, GPU | py2, py3 |
PyTorch Neuron (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/pytorch-training-neuron:<tag> |
1.11.0 | Training | DREHEN | py38 |
Random Cut Forest (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/randomcutforest:<tag> |
1 | Inferenz, Training |
Scikit-learn (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='us-gov-west-1',version='0.23-1',image_scope='inference')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,2-1 | 1.2.1 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | inference_graviton |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,20,0 | 0,20,0 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,20,0 | 0,20,0 | Training |
Semantic Segmentation (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/semantic-segmentation:<tag> |
1 | Inferenz, Training |
Seq2Seq (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='us-gov-west-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
226302683700.dkr.ecr.us-gov-west-1.amazonaws.com/seq2seq:<tag> |
1 | Inferenz, Training |
Spark (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='spark',region='us-gov-west-1',version='3.0',image_scope='processing')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.2 | Verarbeitung |
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.1 | Verarbeitung |
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> |
3.0 | Verarbeitung |
271483468897.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-spark-processing:<tag> |
2.4 | Verarbeitung |
SparkML Serving (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='sparkml-serving',region='us-gov-west-1',version='2.4')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
3.3 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
2.4 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-sparkml-serving:<tag> |
2.2 | Inferenz |
Tensorflow (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='us-gov-west-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.12.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.11.0 | Training | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | Training | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | Training | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | inference_graviton | CPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | Training | CPU, GPU | py39 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | Training | CPU, GPU | py38 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | Training | CPU, GPU | py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | Training | CPU, GPU | py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,5 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1,1,5 | Training | CPU, GPU | py3, py36, py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,4 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.15,4 | Training | CPU, GPU | py3, py36, py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,3 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.15,3 | Training | CPU, GPU | py2, py3, py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | Training | CPU, GPU | py2, py3, py37 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | Training | CPU, GPU | py2, py3 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | Inferenz | CPU, GPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.13.1 | Training | CPU, GPU | py2 |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.13.0 | eia | CPU | - |
442386744353.dkr.ecr.us-gov-west-1.amazonaws.com/tensorflow-inference:<tag> |
1.13.0 | Inferenz | CPU, GPU | - |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.12.0 | eia | CPU | - |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> |
1.12.0 | Inferenz | CPU, GPU | - |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.12.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving-eia:<tag> |
1.11.0 | eia | CPU | - |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-serving:<tag> |
1.11.0 | Inferenz | CPU, GPU | - |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-scriptmode:<tag> |
1.11.0 | Training | CPU, GPU | py2, py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow-eia:<tag> |
1.10.0 | eia | CPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.10.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.10.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.9.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.9.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.8.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.8.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.7.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.7.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.6.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.6.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.5.0 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.5.0 | Training | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.4.1 | Inferenz | CPU, GPU | py2 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-tensorflow:<tag> |
1.4.1 | Training | CPU, GPU | py2 |
Tensorflow Coach (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='coach-tensorflow',region='us-gov-west-1',version='1.0.0',image_scope='training',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.1-<tag> |
0.11.1 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11.0-<tag> |
0.11.0 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-<tag> |
0.11 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10.1-<tag> |
0,11 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.10-<tag> |
0.10 | Training | CPU, GPU | py3 |
Tensorflow Inferentia (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='us-gov-west-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> |
2.5.2 | Inferenz | inf | py3 |
263933020539.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> |
1.15.0 | Inferenz | inf | py3 |
Tensorflow Ray (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='ray-tensorflow',region='us-gov-west-1',version='0.8.5',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6.5-<tag> |
0.6.5 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.6-<tag> |
0.6 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5.3-<tag> |
0,5.3 | Training | CPU, GPU | py3 |
246785580436.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-rl-tensorflow:ray0.5-<tag> |
0.5 | Training | CPU, GPU | py3 |
XGBoost-Algorithmus
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='us-gov-west-1',version='1.5-1')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1,7.4 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,7-1 | 1,7.4 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | inference_graviton |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Inferenz |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Training |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | inference_graviton |
414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-2 | 1.2.0 | Inferenz |
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414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
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414596584902.dkr.ecr.us-gov-west-1.amazonaws.com/sagemaker-xgboost:<tag> |
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0,90-1 | 0.90 | Training |
