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-East) (us-gov-east-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)
- DeepAR-Prognosen (Algorithmus)
- Factorization Machines (Algorithmus)
- Hugging Face (Algorithmus)
- IP Insights (Algorithmus)
- Bildklassifizierung (Algorithmus)
- K-Means (Algorithmus)
- KNN (Algorithmus)
- Linear Learner (Algorithmus)
- MXNet (DLC)
- NTM (Algorithmus)
- Objekterkennung (Algorithmus)
- Object2Vec (Algorithmus)
- PCA (Algorithmus)
- PyTorch (DLC)
- PyTorch Neuron (DLC)
- Random Cut Forest (Algorithmus)
- Scikit-learn (Algorithmus)
- Semantic Segmentation (Algorithmus)
- Seq2Seq (Algorithmus)
- Tensorflow (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-east-1',image_scope='inference',version='0.4')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.7.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.7.0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.6.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.6.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.6.1 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.6.1 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.5.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.4.3 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.4.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0,4,0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0,4,0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.3.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/autogluon-training:<tag> |
0.3.1 | Training |
446045086412.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/blazingtext:<tag> |
1 | Inferenz, Training |
DeepAR-Prognosen (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='us-gov-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.26.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4,26,0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4,26,0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17,0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17,0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17,0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17,0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | Inferenz |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | Training |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | Training |
446045086412.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/image-classification:<tag> |
1 | Inferenz, Training |
K-Means (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='us-gov-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/knn:<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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-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 |
|---|---|---|---|---|
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> |
1.8.0 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> |
1.7.0 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | Inferenz | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> |
1.6.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-training:<tag> |
1.4.1 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | Inferenz | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
NTM (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='us-gov-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/ntm:<tag> |
1 | Inferenz, Training |
Objekterkennung (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='us-gov-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-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 |
|---|---|---|---|---|
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | py310 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
2.0.0 | Training | CPU, GPU | py310 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.13.1 | Inferenz | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.13.1 | Training | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.12.1 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference-graviton:<tag> |
1.12.1 | inference_graviton | CPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.12.1 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.12.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.11.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.10.2 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.10.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.9.1 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | Inferenz | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.8.1 | Training | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.8.0 | Training | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | Inferenz | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.7.1 | Training | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.6.0 | Training | CPU, GPU | py3, py36 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | Inferenz | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.5.0 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | Inferenz | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.4.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | Inferenz | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.3.1 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | Inferenz | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/pytorch-training:<tag> |
1.2.0 | 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 |
|---|---|---|---|---|
446045086412.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1',version='0.23-1',image_scope='inference')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,2-1 | 1.2.1 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | inference_graviton |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,20,0 | 0,20,0 | Inferenz |
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-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-east-1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/seq2seq:<tag> |
1 | Inferenz, Training |
Tensorflow (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='us-gov-east-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.12.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.11.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.11.0 | Training | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | Training | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.10.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | Training | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | inference_graviton | CPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | Training | CPU, GPU | py39 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | Training | CPU, GPU | py38 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | Training | CPU, GPU | py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,5 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1,1,5 | Training | CPU, GPU | py3, py36, py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,4 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.15,4 | Training | CPU, GPU | py3, py36, py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.15,3 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.15,3 | Training | CPU, GPU | py2, py3, py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | Training | CPU, GPU | py2, py3, py37 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | Inferenz | CPU, GPU | - |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | Training | CPU, GPU | py2, py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | Training | CPU, GPU | py3 |
446045086412.dkr.ecr.us-gov-east-1.amazonaws.com/tensorflow-inference:<tag> |
1.13.0 | Inferenz | CPU, GPU | - |
XGBoost (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='us-gov-east-1',version='1.5-1')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1,7.4 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,7-1 | 1,7.4 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | inference_graviton |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | inference_graviton |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-2 | 1.2.0 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-2 | 1.2.0 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-1 | 1.2.0 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-1 | 1.2.0 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,0-1 | 1.0.0 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
1,0-1 | 1.0.0 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/xgboost:<tag> |
1 | 0,72 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/xgboost:<tag> |
1 | 0,72 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0.90 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0.90 | Training |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0.90 | Inferenz |
237065988967.dkr.ecr.us-gov-east-1.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0.90 | Training |
