使用 Step Functions 建立和管理 Amazon SageMaker 任務 - AWS Step Functions

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。

使用 Step Functions 建立和管理 Amazon SageMaker 任務

瞭解如何使用 Step Functions 在上建立和管理工作 SageMaker。此頁面列出支援的 SageMaker API動作,並提供建立轉 SageMaker 換、訓練、標籤和處理工作的範例Task狀態。

若要瞭解如何整合 AWS 服務在 Step Functions 中,請參閱整合 服務和。將參數傳遞給 Step Functions 數API中的服務

最佳化 SageMaker 整合的主要功能

支援 SageMaker APIs

SageMaker 轉換 Job 範例

以下內容包括建立 Amazon SageMaker 轉換任務的Task狀態,並指定DataSource和的 Amazon S3 位置TransformOutput

{ "SageMaker CreateTransformJob": { "Type": "Task", "Resource": "arn:aws:states:::sagemaker:createTransformJob.sync", "Parameters": { "ModelName": "SageMakerCreateTransformJobModel-9iFBKsYti9vr", "TransformInput": { "CompressionType": "None", "ContentType": "text/csv", "DataSource": { "S3DataSource": { "S3DataType": "S3Prefix", "S3Uri": "s3://amzn-s3-demo-source-bucket1/TransformJobDataInput.txt" } } }, "TransformOutput": { "S3OutputPath": "s3://amzn-s3-demo-source-bucket1/TransformJobOutputPath" }, "TransformResources": { "InstanceCount": 1, "InstanceType": "ml.m4.xlarge" }, "TransformJobName": "sfn-binary-classification-prediction" }, "Next": "ValidateOutput" },

SageMaker 培訓 Job 示例

以下內容包括建Task立 Amazon SageMaker 訓練任務的狀態。

{ "SageMaker CreateTrainingJob":{ "Type":"Task", "Resource":"arn:aws:states:::sagemaker:createTrainingJob.sync", "Parameters":{ "TrainingJobName":"search-model", "ResourceConfig":{ "InstanceCount":4, "InstanceType":"ml.c4.8xlarge", "VolumeSizeInGB":20 }, "HyperParameters":{ "mode":"batch_skipgram", "epochs":"5", "min_count":"5", "sampling_threshold":"0.0001", "learning_rate":"0.025", "window_size":"5", "vector_dim":"300", "negative_samples":"5", "batch_size":"11" }, "AlgorithmSpecification":{ "TrainingImage":"...", "TrainingInputMode":"File" }, "OutputDataConfig":{ "S3OutputPath":"s3://amzn-s3-demo-destination-bucket1/doc-search/model" }, "StoppingCondition":{ "MaxRuntimeInSeconds":100000 }, "RoleArn":"arn:aws:iam::123456789012:role/docsearch-stepfunction-iam-role", "InputDataConfig":[ { "ChannelName":"train", "DataSource":{ "S3DataSource":{ "S3DataType":"S3Prefix", "S3Uri":"s3://amzn-s3-demo-destination-bucket1/doc-search/interim-data/training-data/", "S3DataDistributionType":"FullyReplicated" } } } ] }, "Retry":[ { "ErrorEquals":[ "SageMaker.AmazonSageMakerException" ], "IntervalSeconds":1, "MaxAttempts":100, "BackoffRate":1.1 }, { "ErrorEquals":[ "SageMaker.ResourceLimitExceededException" ], "IntervalSeconds":60, "MaxAttempts":5000, "BackoffRate":1 }, { "ErrorEquals":[ "States.Timeout" ], "IntervalSeconds":1, "MaxAttempts":5, "BackoffRate":1 } ], "Catch":[ { "ErrorEquals":[ "States.ALL" ], "ResultPath":"$.cause", "Next":"Sagemaker Training Job Error" } ], "Next":"Delete Interim Data Job" } }

SageMaker 標籤 Job 範例

以下內容包括建Task立 Amazon SageMaker 標籤任務的狀態。

{ "StartAt": "SageMaker CreateLabelingJob", "TimeoutSeconds": 3600, "States": { "SageMaker CreateLabelingJob": { "Type": "Task", "Resource": "arn:aws:states:::sagemaker:createLabelingJob.sync", "Parameters": { "HumanTaskConfig": { "AnnotationConsolidationConfig": { "AnnotationConsolidationLambdaArn": "arn:aws:lambda:us-west-2:123456789012:function:ACS-TextMultiClass" }, "NumberOfHumanWorkersPerDataObject": 1, "PreHumanTaskLambdaArn": "arn:aws:lambda:us-west-2:123456789012:function:PRE-TextMultiClass", "TaskDescription": "Classify the following text", "TaskKeywords": [ "tc", "Labeling" ], "TaskTimeLimitInSeconds": 300, "TaskTitle": "Classify short bits of text", "UiConfig": { "UiTemplateS3Uri": "s3://amzn-s3-demo-bucket/TextClassification.template" }, "WorkteamArn": "arn:aws:sagemaker:us-west-2:123456789012:workteam/private-crowd/ExampleTesting" }, "InputConfig": { "DataAttributes": { "ContentClassifiers": [ "FreeOfPersonallyIdentifiableInformation", "FreeOfAdultContent" ] }, "DataSource": { "S3DataSource": { "ManifestS3Uri": "s3://amzn-s3-demo-bucket/manifest.json" } } }, "LabelAttributeName": "Categories", "LabelCategoryConfigS3Uri": "s3://amzn-s3-demo-bucket/labelcategories.json", "LabelingJobName": "example-job-name", "OutputConfig": { "S3OutputPath": "s3://amzn-s3-demo-bucket/output" }, "RoleArn": "arn:aws:iam::123456789012:role/service-role/AmazonSageMaker-ExecutionRole", "StoppingConditions": { "MaxHumanLabeledObjectCount": 10000, "MaxPercentageOfInputDatasetLabeled": 100 } }, "Next": "ValidateOutput" }, "ValidateOutput": { "Type": "Choice", "Choices": [ { "Not": { "Variable": "$.LabelingJobArn", "StringEquals": "" }, "Next": "Succeed" } ], "Default": "Fail" }, "Succeed": { "Type": "Succeed" }, "Fail": { "Type": "Fail", "Error": "InvalidOutput", "Cause": "Output is not what was expected. This could be due to a service outage or a misconfigured service integration." } } }

SageMaker 處理 Job 範例

以下內容包括建Task立 Amazon SageMaker 處理任務的狀態。

{ "StartAt": "SageMaker CreateProcessingJob Sync", "TimeoutSeconds": 3600, "States": { "SageMaker CreateProcessingJob Sync": { "Type": "Task", "Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync", "Parameters": { "AppSpecification": { "ImageUri": "737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3" }, "ProcessingResources": { "ClusterConfig": { "InstanceCount": 1, "InstanceType": "ml.t3.medium", "VolumeSizeInGB": 10 } }, "RoleArn": "arn:aws:iam::123456789012:role/SM-003-CreateProcessingJobAPIExecutionRole", "ProcessingJobName.$": "$.id" }, "Next": "ValidateOutput" }, "ValidateOutput": { "Type": "Choice", "Choices": [ { "Not": { "Variable": "$.ProcessingJobArn", "StringEquals": "" }, "Next": "Succeed" } ], "Default": "Fail" }, "Succeed": { "Type": "Succeed" }, "Fail": { "Type": "Fail", "Error": "InvalidConnectorOutput", "Cause": "Connector output is not what was expected. This could be due to a service outage or a misconfigured connector." } } }

IAM致電 Amazon 政策 SageMaker

下面的示例模板顯示如何 AWS Step Functions 根據狀態機器定義中的資源產生IAM策略。如需詳細資訊,請參閱 Step Functions 式如何為整合式服務產生IAM原則探索 Step Functions 中的服務整合模式

注意

對於這些範例,請[[roleArn]]參閱IAM角色的 Amazon 資源名稱 (ARN),該名稱 SageMaker 用於存取模型成品和 docker 映像,以便在 ML 運算執行個體上部署,或用於批次轉換任務。如需詳細資訊,請參閱 Amazon SageMaker 角色

CreateTrainingJob

靜態資源

Run a Job (.sync)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTrainingJob", "sagemaker:DescribeTrainingJob", "sagemaker:StopTrainingJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:training-job/[[trainingJobName]]*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Effect": "Allow", "Action": [ "events:PutTargets", "events:PutRule", "events:DescribeRule" ], "Resource": [ "arn:aws:events:[[region]]:[[accountId]]:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule" ] } ] }
Request Response and Callback (.waitForTaskToken)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTrainingJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:training-job/[[trainingJobName]]*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } } ] }

動態資源

.sync or .waitForTaskToken
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTrainingJob", "sagemaker:DescribeTrainingJob", "sagemaker:StopTrainingJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:training-job/*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Effect": "Allow", "Action": [ "events:PutTargets", "events:PutRule", "events:DescribeRule" ], "Resource": [ "arn:aws:events:[[region]]:[[accountId]]:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule" ] } ] }
Request Response and Callback (.waitForTaskToken)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTrainingJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:training-job/*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } } ] }

CreateTransformJob

注意

AWS Step Functions 當您建立與之整合的狀態機器CreateTransformJob時,不會自動建立原則 SageMaker。您必須根據下列其中一個IAM範例,將內嵌原則附加至建立的角色。

靜態資源

Run a Job (.sync)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTransformJob", "sagemaker:DescribeTransformJob", "sagemaker:StopTransformJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:transform-job/[[transformJobName]]*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Effect": "Allow", "Action": [ "events:PutTargets", "events:PutRule", "events:DescribeRule" ], "Resource": [ "arn:aws:events:[[region]]:[[accountId]]:rule/StepFunctionsGetEventsForSageMakerTransformJobsRule" ] } ] }
Request Response and Callback (.waitForTaskToken)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTransformJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:transform-job/[[transformJobName]]*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } } ] }

動態資源

Run a Job (.sync)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTransformJob", "sagemaker:DescribeTransformJob", "sagemaker:StopTransformJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:transform-job/*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Effect": "Allow", "Action": [ "events:PutTargets", "events:PutRule", "events:DescribeRule" ], "Resource": [ "arn:aws:events:[[region]]:[[accountId]]:rule/StepFunctionsGetEventsForSageMakerTransformJobsRule" ] } ] }
Request Response and Callback (.waitForTaskToken)
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:CreateTransformJob" ], "Resource": [ "arn:aws:sagemaker:[[region]]:[[accountId]]:transform-job/*" ] }, { "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": [ "[[roleArn]]" ], "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } } ] }