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-Registry-Pfade und Beispielcode für Asien-Pazifik (Jakarta) (ap-southeast-3)
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)
- Clarify (Algorithmus)
- DJL DeepSpeed (Algorithmus)
- DeepAR Forecasting (Algorithmus)
- Factorization Machines (Algorithmus)
- Hugging Face (Algorithmus)
- IP Insights (Algorithmus)
- Bildklassifizierung (Algorithmus)
- K-Means (Algorithmus)
- KNN (Algorithmus)
- Linear Learner (Algorithmus)
- MXNet (DLC)
- Model Monitor (Algorithmus)
- NTM (Algorithmus)
- Objekterkennung (Algorithmus)
- Object2Vec (Algorithmus)
- PCA (Algorithmus)
- PyTorch (DLC)
- Random Cut Forest (Algorithmus)
- Scikit-learn (Algorithmus)
- Semantic Segmentation (Algorithmus)
- Seq2Seq (Algorithmus)
- Spark (Algorithmus)
- SparkML Serving (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='ap-southeast-3',image_scope='inference',version='0.4')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.7.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.7.0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.6.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.6.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.6.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.6.1 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.5.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.4.3 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.4.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0,4,0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0,4,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.3.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/autogluon-training:<tag> |
0.3.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/blazingtext:<tag> |
1 | Inferenz, Training |
Clarify (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='ap-southeast-3',version='1.0',image_scope='processing')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
705930551576.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-clarify-processing:<tag> |
1,0 | Verarbeitung |
DJL DeepSpeed (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.22.1-deepspeed0.8.3-cu118-<tag> |
0.22.1 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> |
0,21,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> |
0,20,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> |
0,19,0 | Inferenz |
DeepAR Forecasting (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.26.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4,26,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4,26,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17,0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17,0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17,0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | Inferenz |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | Training |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | Training |
907027046896.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3',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 |
|---|---|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> |
1.8.0 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> |
1.7.0 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | Inferenz | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> |
1.6.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-training:<tag> |
1.4.1 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | Inferenz | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
Model Monitor (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
669540362728.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |
Überwachung |
NTM (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3',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 |
|---|---|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | py310 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> |
2.0.0 | inference_graviton | CPU | py310 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
2.0.0 | Training | CPU, GPU | py310 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.13.1 | Inferenz | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.13.1 | Training | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.12.1 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-graviton:<tag> |
1.12.1 | inference_graviton | CPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.12.1 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.12.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.11.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.10.2 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.10.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.9.1 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | Inferenz | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.9.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | Inferenz | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.8.1 | Training | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | Inferenz | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.8.0 | Training | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | Inferenz | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.7.1 | Training | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | Inferenz | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.6.0 | Training | CPU, GPU | py3, py36 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:<tag> |
1.5.1 | eia | CPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | Inferenz | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.5.0 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | Inferenz | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.4.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference-eia:<tag> |
1.3.1 | eia | CPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | Inferenz | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.3.1 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | Inferenz | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/pytorch-training:<tag> |
1.2.0 | Training | CPU, GPU | py2, py3 |
Random Cut Forest (Algorithmus)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3',version='0.23-1',image_scope='inference')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,2-1 | 1.2.1 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
1,0-1 | 1.0.2 | inference_graviton |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,23-1 | 0,23,2 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-scikit-learn:<tag> |
0,20,0 | 0,20,0 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.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='ap-southeast-3',version='3.0',image_scope='processing')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
732049463269.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> |
3.2 | Verarbeitung |
732049463269.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> |
3.1 | Verarbeitung |
732049463269.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-spark-processing:<tag> |
3.0 | Verarbeitung |
732049463269.dkr.ecr.ap-southeast-3.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='ap-southeast-3',version='2.4')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) |
|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-sparkml-serving:<tag> |
3.3 | Inferenz |
Tensorflow (DLC)
SageMaker Python-SDK-Beispiel zum Abrufen des Registrierungspfads.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='ap-southeast-3',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry-Pfad | Version | Auftragstypen (Bildbereich) | Typen von Prozessoren | Python Versionen |
|---|---|---|---|---|
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.12.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.12.0 | Training | CPU, GPU | py310 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.11.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.11.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.11.0 | Training | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.10.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.10.1 | Training | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.10.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.9.3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.9.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | Training | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-graviton:<tag> |
2.9.1 | inference_graviton | CPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | Training | CPU, GPU | py39 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | Training | CPU, GPU | py38 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | Training | CPU, GPU | py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.15,5 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1,1,5 | Training | CPU, GPU | py3, py36, py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.15,4 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.15,4 | Training | CPU, GPU | py3, py36, py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.15,3 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.15,3 | Training | CPU, GPU | py2, py3, py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | Training | CPU, GPU | py2, py3, py37 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | Inferenz | CPU, GPU | - |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | Training | CPU, GPU | py2, py3 |
907027046896.dkr.ecr.ap-southeast-3.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | Training | CPU, GPU | py3 |
907027046896.dkr.ecr.ap-southeast-3.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='ap-southeast-3',version='1.5-1')
| Registry-Pfad | Version | Paketversion | Auftragstypen (Bildbereich) |
|---|---|---|---|
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1,7.4 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,7-1 | 1,7.4 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,5-1 | 1.5.2 | inference_graviton |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,3-1 | 1.3.3 | inference_graviton |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-2 | 1.2.0 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-2 | 1.2.0 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-1 | 1.2.0 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,2-1 | 1.2.0 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,0-1 | 1.0.0 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
1,0-1 | 1.0.0 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/xgboost:<tag> |
1 | 0,72 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/xgboost:<tag> |
1 | 0,72 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0.90 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-2 | 0.90 | Training |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0.90 | Inferenz |
951798379941.dkr.ecr.ap-southeast-3.amazonaws.com/sagemaker-xgboost:<tag> |
0,90-1 | 0.90 | Training |
