使用 Step Functions 创建和管理亚马逊 SageMaker AI 任务 - Amazon Step Functions
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使用 Step Functions 创建和管理亚马逊 SageMaker AI 任务

学习如何使用 Step Functions 在 SageMaker AI 上创建和管理作业。本页列出了支持的 SageMaker AI API 操作，并提供了用于创建 SageMaker AI 转换、训练、标记和处理任务的示例Task状态。

要了解如何在 Step Functions 中与 Amazon 服务集成，请参阅集成 服务和在 Step Functions 中将参数传递给服务 API。

优化的 SageMaker AI 集成的主要特性

优化 SageMaker 的人工智能 APIs

SageMaker AI 转换 Job 示例

以下内容包括创建 Amazon A SageMaker I 转换任务的Task状态，为DataSource和指定了 Amazon S3 的位置TransformOutput。

{
"SageMaker CreateTransformJob": {
  "Type": "Task",
  "Resource": "arn:aws:states:::sagemaker:createTransformJob.sync",
  "Arguments": {
    "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 AI 训练 Job 示例

以下内容包括创建 Amazon A SageMaker I 训练作业的Task状态。

{  
   "SageMaker CreateTrainingJob":{  
      "Type":"Task",
      "Resource":"arn:aws:states:::sagemaker:createTrainingJob.sync",
      "Arguments":{  
         "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::account-id: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"
            ],
            "Next":"Sagemaker Training Job Error"
         }
      ],
      "Next":"Delete Interim Data Job"
   }
}

SageMaker AI 标签 Job 示例

以下内容包括创建 Amazon A SageMaker I 标签任务的Task状态。

{
  "StartAt": "SageMaker CreateLabelingJob",
  "TimeoutSeconds": 3600,
  "States": {
    "SageMaker CreateLabelingJob": {
      "Type": "Task",
      "Resource": "arn:aws:states:::sagemaker:createLabelingJob.sync",
      "Arguments": {
        "HumanTaskConfig": {
          "AnnotationConsolidationConfig": {
            "AnnotationConsolidationLambdaArn": "arn:aws:lambda:region:123456789012:function:ACS-TextMultiClass"
          },
          "NumberOfHumanWorkersPerDataObject": 1,
          "PreHumanTaskLambdaArn": "arn:aws:lambda:region: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:region: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": [
            {
                "Next": "Success",
                "Condition": "{% $states.input.LabelingJobArn != '' %}"
            }
        ],
        "Default": "Fail"
        },
        "Success": {
            "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 AI 处理 Job 示例

以下内容包括创建 Amazon A SageMaker I 处理任务的Task状态。

{
  "StartAt": "SageMaker CreateProcessingJob Sync",
  "TimeoutSeconds": 3600,
  "States": {
    "SageMaker CreateProcessingJob Sync": {
      "Type": "Task",
      "Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync",
      "Arguments": {
        "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::account-id: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."
    }
  }
}

用于调用 Amazon A SageMaker I 的 IAM 政策

以下示例模板展示了如何根据状态机定义中的资源 Amazon Step Functions 生成 IAM 策略。有关更多信息，请参阅Step Functions 如何为集成服务生成 IAM 策略和探索 Step Functions 中的服务集成模式。

注意

对于这些示例，roleArn请参阅 IAM 角色的 Amazon 资源名称 (ARN)，A SageMaker I 使用该角色访问模型工件和 docker 镜像，以便在 ML 计算实例上部署，或用于批量转换任务。有关更多信息，请参阅 Amazon SageMaker 角色。

CreateTrainingJob

静态资源

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

动态资源

.sync or .waitForTaskToken
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "sagemaker:CreateTrainingJob",
        "sagemaker:DescribeTrainingJob",
        "sagemaker:StopTrainingJob"
      ],
      "Resource": [
        "arn:aws:sagemaker:region:account-id: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:account-id:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule"
      ]
    }
  ]
}
Request Response and Callback (.waitForTaskToken)
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "sagemaker:CreateTrainingJob"
      ],
      "Resource": [
        "arn:aws:sagemaker:region:account-id: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

Amazon Step Functions 当您创建与 SageMaker AI 集成的状态机CreateTransformJob时，不会自动创建策略。您必须根据以下 IAM 示例之一将内联策略附加到创建的角色。

静态资源

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

动态资源

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