Docker Registry Paths and Example Code for Middle East (UAE) (me-central-1)
The following topics list parameters for each of the algorithms and deep learning containers in this region provided by Amazon SageMaker.
Topics
- AutoGluon (algorithm)
- BlazingText (algorithm)
- DeepAR Forecasting (algorithm)
- Factorization Machines (algorithm)
- Hugging Face (algorithm)
- IP Insights (algorithm)
- Image classification (algorithm)
- K-Means (algorithm)
- KNN (algorithm)
- Linear Learner (algorithm)
- MXNet (DLC)
- NTM (algorithm)
- Object Detection (algorithm)
- Object2Vec (algorithm)
- PCA (algorithm)
- PyTorch (DLC)
- Random Cut Forest (algorithm)
- Scikit-learn (algorithm)
- Semantic Segmentation (algorithm)
- Seq2Seq (algorithm)
- Tensorflow (DLC)
- XGBoost (algorithm)
AutoGluon (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='me-central-1',image_scope='inference',version='0.4')
| Registry path | Version | Job types (image scope) |
|---|---|---|
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.5.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.5.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.4.3 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.4.3 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.4.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.4.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.4.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.4.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.3.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.3.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-training:<tag> |
0.3.1 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/autogluon-inference:<tag> |
0.3.1 | inference |
BlazingText (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/blazingtext:<tag> |
1 | inference, training |
DeepAR Forecasting (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/forecasting-deepar:<tag> |
1 | inference, training |
Factorization Machines (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/factorization-machines:<tag> |
1 | inference, training |
Hugging Face (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='me-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.26.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.26.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.26.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.17.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.17.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.17.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.17.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.12.3 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.12.3 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.12.3 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.12.3 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.11.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.11.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.11.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.11.0 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.10.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.10.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.10.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.10.2 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.6.1 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.6.1 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> |
4.6.1 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> |
4.6.1 | inference |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.5.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.5.0 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-pytorch-training:<tag> |
4.4.2 | training |
914824155844.dkr.ecr.me-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> |
4.4.2 | training |
IP Insights (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/ipinsights:<tag> |
1 | inference, training |
Image classification (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/image-classification:<tag> |
1 | inference, training |
K-Means (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/kmeans:<tag> |
1 | inference, training |
KNN (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='knn',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/knn:<tag> |
1 | inference, training |
Linear Learner (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/linear-learner:<tag> |
1 | inference, training |
MXNet (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='me-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> |
1.9.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> |
1.9.0 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> |
1.8.0 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> |
1.8.0 | inference | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> |
1.7.0 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> |
1.7.0 | inference | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.7.0 | eia | CPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> |
1.6.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> |
1.6.0 | inference | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.5.1 | eia | CPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-training:<tag> |
1.4.1 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference:<tag> |
1.4.1 | inference | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/mxnet-inference-eia:<tag> |
1.4.1 | eia | CPU | py2, py3 |
NTM (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/ntm:<tag> |
1 | inference, training |
Object Detection (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/object-detection:<tag> |
1 | inference, training |
Object2Vec (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/object2vec:<tag> |
1 | inference, training |
PCA (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='pca',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/pca:<tag> |
1 | inference, training |
PyTorch (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='me-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.12.0 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.12.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.11.0 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.11.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.10.2 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.10.2 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.10.0 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.10.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.9.1 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.9.1 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.9.0 | inference | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.9.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.8.1 | inference | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.8.1 | training | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.8.0 | inference | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.8.0 | training | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.7.1 | inference | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.7.1 | training | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.6.0 | inference | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.6.0 | training | CPU, GPU | py3, py36 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.5.0 | inference | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.5.0 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.4.0 | inference | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.4.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.3.1 | inference | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.3.1 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-inference:<tag> |
1.2.0 | inference | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/pytorch-training:<tag> |
1.2.0 | training | CPU, GPU | py2, py3 |
Random Cut Forest (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/randomcutforest:<tag> |
1 | inference, training |
Scikit-learn (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='me-central-1',version='0.23-1',image_scope='inference')
| Registry path | Version | Package version | Job types (image scope) |
|---|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.2-1 | 1.2.1 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
1.0-1 | 1.0.2 | inference_graviton |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.23-1 | 0.23.2 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> |
0.20.0 | 0.20.0 | training |
Semantic Segmentation (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/semantic-segmentation:<tag> |
1 | inference, training |
Seq2Seq (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='me-central-1')
| Registry path | Version | Job types (image scope) |
|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/seq2seq:<tag> |
1 | inference, training |
Tensorflow (DLC)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='me-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
| Registry path | Version | Job types (image scope) | Processor types | Python versions |
|---|---|---|---|---|
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.9.2 | training | CPU, GPU | py39 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.4 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.8.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.8.0 | training | CPU, GPU | py39 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.7.1 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.7.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.3 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.6.3 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.6.2 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.6.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.6.0 | training | CPU, GPU | py38 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.5.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.5.1 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.5.0 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.3 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.4.3 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.4.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.4.1 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.2 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.3.2 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.3.1 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.3.0 | eia | CPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.3.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.3.0 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.2 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.2.2 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.2.1 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.2.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.2.0 | training | CPU, GPU | py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.3 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.1.3 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.2 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.1.2 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.1.1 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.1.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.1.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.4 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.0.4 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.3 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.0.3 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.2 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.0.2 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.1 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.0.1 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> |
2.0.0 | eia | CPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
2.0.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
2.0.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.5 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.15.5 | training | CPU, GPU | py3, py36, py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.4 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.15.4 | training | CPU, GPU | py3, py36, py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.3 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.15.3 | training | CPU, GPU | py2, py3, py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.2 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.15.2 | training | CPU, GPU | py2, py3, py37 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.15.0 | eia | CPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.15.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.15.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference-eia:<tag> |
1.14.0 | eia | CPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.14.0 | inference | CPU, GPU | - |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.14.0 | training | CPU, GPU | py2, py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-training:<tag> |
1.13.1 | training | CPU, GPU | py3 |
914824155844.dkr.ecr.me-central-1.amazonaws.com/tensorflow-inference:<tag> |
1.13.0 | inference | CPU, GPU | - |
XGBoost (algorithm)
SageMaker Python SDK example to retrieve registry path.
from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='me-central-1',version='1.5-1')
| Registry path | Version | Package version | Job types (image scope) |
|---|---|---|---|
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.7-1 | 1.7.4 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.5-1 | 1.5.2 | inference_graviton |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.3-1 | 1.3.3 | inference_graviton |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-2 | 1.2.0 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.2-1 | 1.2.0 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
1.0-1 | 1.0.0 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/xgboost:<tag> |
1 | 0.72 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/xgboost:<tag> |
1 | 0.72 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-2 | 0.90 | training |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 | inference |
272398656194.dkr.ecr.me-central-1.amazonaws.com/sagemaker-xgboost:<tag> |
0.90-1 | 0.90 | training |