本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。 # 歐洲 (蘇黎世) 的 Docker 登錄檔路徑和範例程式碼 (eu-central-2) 下列主題列出 Amazon SageMaker AI 在 AWS 區域 提供的每種演算法和深度學習容器的參數。 **Topics** + [AutoGluon (演算法)](#autogluon-eu-central-2) + [BlazingText (演算法)](#blazingtext-eu-central-2) + [Clarify (演算法)](#clarify-eu-central-2) + [DeepAR Forecasting (演算法)](#forecasting-deepar-eu-central-2) + [因式分解機 (演算法)](#factorization-machines-eu-central-2) + [Hugging Face (演算法)](#huggingface-eu-central-2) + [IP Insights (演算法)](#ipinsights-eu-central-2) + [影像分類 (演算法)](#image-classification-eu-central-2) + [Inferentia MXNet (DLC)](#inferentia-mxnet-eu-central-2) + [Inferentia PyTorch (DLC)](#inferentia-pytorch-eu-central-2) + [K-Means (演算法)](#kmeans-eu-central-2) + [KNN (演算法)](#knn-eu-central-2) + [Linear Learner (演算法)](#linear-learner-eu-central-2) + [MXNet (DLC)](#mxnet-eu-central-2) + [Model Monitor (演算法)](#model-monitor-eu-central-2) + [NTM (演算法)](#ntm-eu-central-2) + [Neo Image Classification (演算法)](#image-classification-neo-eu-central-2) + [Neo MXNet (DLC)](#neo-mxnet-eu-central-2) + [Neo PyTorch (DLC)](#neo-pytorch-eu-central-2) + [Neo Tensorflow (DLC)](#neo-tensorflow-eu-central-2) + [Neo XGBoost (演算法)](#xgboost-neo-eu-central-2) + [Object Detection (演算法)](#object-detection-eu-central-2) + [Object2Vec (演算法)](#object2vec-eu-central-2) + [PCA (演算法)](#pca-eu-central-2) + [PyTorch (DLC)](#pytorch-eu-central-2) + [PyTorch Neuron (DLC)](#pytorch-neuron-eu-central-2) + [PyTorch Training Compiler (DLC)](#pytorch-training-compiler-eu-central-2) + [Random Cut Forest (演算法)](#randomcutforest-eu-central-2) + [Scikit-learn (演算法)](#sklearn-eu-central-2) + [Semantic Segmentation (演算法)](#semantic-segmentation-eu-central-2) + [Seq2Seq (演算法)](#seq2seq-eu-central-2) + [Spark (演算法)](#spark-eu-central-2) + [Tensorflow (DLC)](#tensorflow-eu-central-2) + [Tensorflow Inferentia (DLC)](#inferentia-tensorflow-eu-central-2) + [XGBoost (演算法)](#xgboost-eu-central-2) ## AutoGluon (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='autogluon',region='eu-central-2',image_scope='inference',version='0.4') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.5.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.5.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.4.3 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.4.3 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.4.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.4.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.4.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.4.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.3.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.3.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-training: | 0.3.1 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/autogluon-inference: | 0.3.1 | 推論 | ## BlazingText (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='blazingtext',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/blazingtext: | 1 | 推論、訓練 | ## Clarify (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='clarify',region='eu-central-2',version='1.0',image_scope='processing') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 730335477804.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-clarify-processing: | 1.0 | 處理 | ## DeepAR Forecasting (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='forecasting-deepar',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/forecasting-deepar: | 1 | 推論、訓練 | ## 因式分解機 (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='factorization-machines',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/factorization-machines: | 1 | 推論、訓練 | ## Hugging Face (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='huggingface',region='eu-central-2',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.49.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.48.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.37.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.28.1 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.26.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.26.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.17.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.17.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.17.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.17.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.12.3 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.12.3 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.12.3 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.12.3 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.11.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.11.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.11.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.11.0 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.10.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.10.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.10.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.10.2 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.6.1 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.6.1 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-inference: | 4.6.1 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-inference: | 4.6.1 | 推論 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.5.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.5.0 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-pytorch-training: | 4.4.2 | 訓練 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/huggingface-tensorflow-training: | 4.4.2 | 訓練 | ## IP Insights (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='ipinsights',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/ipinsights: | 1 | 推論、訓練 | ## 影像分類 (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='image-classification',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/image-classification: | 1 | 推論、訓練 | ## Inferentia MXNet (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='inferentia-mxnet',region='eu-central-2',version='1.5.1',instance_type='ml.inf1.6xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-mxnet: | 1.8 | 推論 | inf | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-mxnet: | 1.5.1 | 推論 | inf | py3 | ## Inferentia PyTorch (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='inferentia-pytorch',region='eu-central-2',version='1.9',py_version='py3') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch: | 1.9 | 推論 | inf | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch: | 1.8 | 推論 | inf | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-pytorch: | 1.7 | 推論 | inf | py3 | ## K-Means (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='kmeans',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/kmeans: | 1 | 推論、訓練 | ## KNN (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='knn',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/knn: | 1 | 推論、訓練 | ## Linear Learner (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='linear-learner',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/linear-learner: | 1 | 推論、訓練 | ## MXNet (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='mxnet',region='eu-central-2',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training: | 1.9.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference: | 1.9.0 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training: | 1.8.0 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference: | 1.8.0 | 推論 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training: | 1.7.0 | 訓練 | CPU、GPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference: | 1.7.0 | 推論 | CPU、GPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia: | 1.7.0 | eia | CPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training: | 1.6.0 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference: | 1.6.0 | 推論 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia: | 1.5.1 | eia | CPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-training: | 1.4.1 | 訓練 | CPU、GPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference: | 1.4.1 | 推論 | CPU、GPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/mxnet-inference-eia: | 1.4.1 | eia | CPU | py2, py3 | ## Model Monitor (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='model-monitor',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 590183933784.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-model-monitor-analyzer: | | 監控 | ## NTM (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='ntm',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/ntm: | 1 | 推論、訓練 | ## Neo Image Classification (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='image-classification-neo',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/image-classification-neo: | 最新 | 推論 | ## Neo MXNet (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='neo-mxnet',region='eu-central-2',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-mxnet: | 1.8 | 推論 | CPU、GPU | py3 | ## Neo PyTorch (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='neo-pytorch',region='eu-central-2',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 2.0 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.13 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.12 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.8 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.7 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.6 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.5 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-pytorch: | 1.4 | 推論 | CPU、GPU | py3 | ## Neo Tensorflow (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='neo-tensorflow',region='eu-central-2',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-tensorflow: | 2.9.2 | 推論 | CPU、GPU | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-inference-tensorflow: | 1.15.3 | 推論 | CPU、GPU | py3 | ## Neo XGBoost (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='xgboost-neo',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/xgboost-neo: | 最新 | 推論 | ## Object Detection (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='object-detection',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/object-detection: | 1 | 推論、訓練 | ## Object2Vec (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='object2vec',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/object2vec: | 1 | 推論、訓練 | ## PCA (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='pca',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/pca: | 1 | 推論、訓練 | ## PyTorch (DLC) 如需進一步瞭解支援和不支援的 PyTorch 版本，請參閱《AWS 深度學習容器開發人員指南》**中的[架構支援政策表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch',region='eu-central-2',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.7.1 | 訓練 | CPU、GPU | py312 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.6.0 | 推論 | CPU, GPU | py312 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.6.0 | 訓練 | CPU、GPU | py312 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.5.1 | 推論 | CPU, GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.5.1 | 訓練 | CPU、GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.4.0 | 推論 | CPU, GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.4.0 | 推論\$1graviton | CPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.4.0 | 訓練 | CPU、GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.3.0 | 推論 | CPU, GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.3.0 | 推論\$1graviton | CPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.3.0 | 訓練 | CPU、GPU | py311 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.2.1 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.2.0 | 推論 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.2.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.1.0 | 推論 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.1.0 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.1.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.0.1 | 推論 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.0.1 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.0.1 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 2.0.0 | 推論 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 2.0.0 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 2.0.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.13.1 | 推論 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.13.1 | 訓練 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.12.1 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-graviton: | 1.12.1 | 推論\$1graviton | CPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.12.1 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.12.0 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.12.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.11.0 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.11.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.10.2 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.10.2 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.10.0 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.10.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.9.1 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.9.1 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.9.0 | 推論 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.9.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.8.1 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.8.1 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.8.0 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.8.0 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.7.1 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.7.1 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.6.0 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.6.0 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia: | 1.5.1 | eia | CPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.5.0 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.5.0 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.4.0 | 推論 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.4.0 | 訓練 | CPU、GPU | py2、py3、py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference-eia: | 1.3.1 | eia | CPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.3.1 | 推論 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.3.1 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-inference: | 1.2.0 | 推論 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training: | 1.2.0 | 訓練 | CPU、GPU | py2, py3 | ## PyTorch Neuron (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-training-neuron: | 1.11.0 | 訓練 | TRN | py38 | ## PyTorch Training Compiler (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/pytorch-trcomp-training: | 1.12.0 | 訓練 | GPU | py38 | ## Random Cut Forest (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='randomcutforest',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/randomcutforest: | 1 | 推論、訓練 | ## Scikit-learn (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='sklearn',region='eu-central-2',version='0.23-1',image_scope='inference') ``` | 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) | | --- | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 1.2-1 | 1.2.1 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 1.0-1 | 1.0.2 | 推論\$1graviton | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 0.23-1 | 0.23.2 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-scikit-learn: | 0.20.0 | 0.20.0 | 訓練 | ## Semantic Segmentation (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='semantic-segmentation',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/semantic-segmentation: | 1 | 推論、訓練 | ## Seq2Seq (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='seq2seq',region='eu-central-2') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/seq2seq: | 1 | 推論、訓練 | ## Spark (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='spark',region='eu-central-2',version='3.0',image_scope='processing') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | | --- | --- | --- | | 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing: | 3.3 | 處理 | | 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing: | 3.2 | 處理 | | 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing: | 3.1 | 處理 | | 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing: | 3.0 | 處理 | | 142351485170.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-spark-processing: | 2.4 | 處理 | ## Tensorflow (DLC) 如需進一步瞭解支援和不支援的 TensorFlow 版本，請參閱《AWS 深度學習容器開發人員指南》**中的[架構支援政策表](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html)。 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='tensorflow',region='eu-central-2',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.19.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.19.0 | 訓練 | CPU、GPU | py312 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.18.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.18.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.16.2 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.16.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton: | 2.16.1 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.14.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton: | 2.14.1 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.14.1 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.13.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton: | 2.13.0 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.13.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.12.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton: | 2.12.1 | 推論\$1graviton | CPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.12.0 | 訓練 | CPU、GPU | py310 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.11.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.11.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.11.0 | 訓練 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.10.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.10.1 | 訓練 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.10.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.9.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.9.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.9.2 | 訓練 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-graviton: | 2.9.1 | 推論\$1graviton | CPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.8.4 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.8.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.8.0 | 訓練 | CPU、GPU | py39 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.7.1 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.7.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.6.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.6.3 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.6.2 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.6.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.6.0 | 訓練 | CPU、GPU | py38 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.5.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.5.1 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.5.0 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.4.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.4.3 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.4.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.4.1 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.3.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.3.2 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.3.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.3.1 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia: | 2.3.0 | eia | CPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.3.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.3.0 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.2.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.2.2 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.2.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.2.1 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.2.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.2.0 | 訓練 | CPU、GPU | py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.1.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.1.3 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.1.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.1.2 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.1.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.1.1 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.1.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.1.0 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.0.4 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.0.4 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.0.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.0.3 | 訓練 | CPU、GPU | py3, py36 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.0.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.0.2 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.0.1 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.0.1 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia: | 2.0.0 | eia | CPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 2.0.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 2.0.0 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.15.5 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.15.5 | 訓練 | CPU、GPU | py3, py36, py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.15.4 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.15.4 | 訓練 | CPU、GPU | py3, py36, py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.15.3 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.15.3 | 訓練 | CPU、GPU | py2, py3, py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.15.2 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.15.2 | 訓練 | CPU、GPU | py2, py3, py37 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia: | 1.15.0 | eia | CPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.15.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.15.0 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference-eia: | 1.14.0 | eia | CPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.14.0 | 推論 | CPU、GPU | - | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.14.0 | 訓練 | CPU、GPU | py2, py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-training: | 1.13.1 | 訓練 | CPU、GPU | py3 | | 380420809688.dkr.ecr.eu-central-2.amazonaws.com/tensorflow-inference: | 1.13.0 | 推論 | CPU、GPU | - | ## Tensorflow Inferentia (DLC) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='inferentia-tensorflow',region='eu-central-2',version='1.15.0',instance_type='ml.inf1.6xlarge') ``` | 登錄檔路徑 | 版本 | 工作類型 (影像範圍) | 處理器類型 | Python 版本 | | --- | --- | --- | --- | --- | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-tensorflow: | 2.5.2 | 推論 | inf | py3 | | 010526262399.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-neo-tensorflow: | 1.15.0 | 推論 | inf | py3 | ## XGBoost (演算法) 下列 SageMaker AI Python SDK 範例示範如何擷取特定的登錄檔路徑。 ``` from sagemaker import image_uris image_uris.retrieve(framework='xgboost',region='eu-central-2',version='1.5-1') ``` | 登錄檔路徑 | 版本 | 套件版本 | 工作類型 (影像範圍) | | --- | --- | --- | --- | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.7-1 | 1.7.4 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.7-1 | 1.7.4 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.5-1 | 1.5.2 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.5-1 | 1.5.2 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.5-1 | 1.5.2 | 推論\$1graviton | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.3-1 | 1.3.3 | 推論\$1graviton | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.2-2 | 1.2.0 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.2-2 | 1.2.0 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.2-1 | 1.2.0 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.2-1 | 1.2.0 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.0-1 | 1.0.0 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 1.0-1 | 1.0.0 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost: | 1 | 0.72 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/xgboost: | 1 | 0.72 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 0.90-2 | 0.90 版 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 0.90-2 | 0.90 版 | 訓練 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 0.90-1 | 0.90 版 | 推論 | | 680994064768.dkr.ecr.eu-central-2.amazonaws.com/sagemaker-xgboost: | 0.90-1 | 0.90 版 | 訓練 |