Membuat dan mengelola pekerjaan Amazon SageMaker AI dengan Step Functions - AWS Step Functions
Didukung APIsContoh Tugas TransformasiContoh Tugas PelatihanContoh Tugas pelabelanContoh Tugas PengolahanKebijakan IAM

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Membuat dan mengelola pekerjaan Amazon SageMaker AI dengan Step Functions

Pelajari cara menggunakan Step Functions untuk membuat dan mengelola pekerjaan di SageMaker AI. Halaman ini mencantumkan tindakan SageMaker AI API yang didukung dan memberikan contoh Task status untuk membuat pekerjaan transformasi, pelatihan, pelabelan, dan pemrosesan SageMaker AI.

Untuk mempelajari tentang mengintegrasikan dengan AWS layanan di Step Functions, lihat Integrasi layanan danMeneruskan parameter ke API layanan di Step Functions.

Fitur utama integrasi SageMaker AI yang Dioptimalkan

SageMaker AI yang dioptimalkan APIs

SageMaker Contoh Pekerjaan AI Transform

Berikut ini mencakup Task status yang menciptakan pekerjaan transformasi SageMaker AI Amazon, menentukan lokasi DataSource Amazon S3 untuk dan. 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 Contoh Pekerjaan Pelatihan AI

Berikut ini mencakup Task negara bagian yang menciptakan pekerjaan pelatihan SageMaker AI Amazon.

{  
   "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 Contoh Pekerjaan Pelabelan AI

Berikut ini mencakup Task status yang menciptakan pekerjaan pelabelan SageMaker AI Amazon.

{
  "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 Contoh Pekerjaan Pemrosesan AI

Berikut ini mencakup Task status yang menciptakan pekerjaan pemrosesan SageMaker AI Amazon.

{
  "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."
    }
  }
}

Kebijakan IAM untuk memanggil Amazon AI SageMaker

Contoh templat berikut menunjukkan cara AWS Step Functions menghasilkan kebijakan IAM berdasarkan sumber daya dalam definisi mesin status Anda. Untuk informasi selengkapnya, silakan lihat Bagaimana Step Functions menghasilkan kebijakan IAM untuk layanan terintegrasi dan Temukan pola integrasi layanan di Step Functions.

catatan

Untuk contoh ini, [[roleArn]] mengacu pada Amazon Resource Name (ARN) dari peran IAM yang digunakan SageMaker AI untuk mengakses artefak model dan gambar docker untuk penerapan pada instance komputasi HTML, atau untuk pekerjaan transformasi batch. Untuk informasi selengkapnya, lihat SageMaker Peran Amazon.

CreateTrainingJob

Sumber daya statis

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"
        }
      }
    }
  ]
}

Sumber daya dinamis

.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

catatan

AWS Step Functions tidak akan secara otomatis membuat kebijakan CreateTransformJob saat Anda membuat mesin status yang terintegrasi dengan SageMaker AI. Anda harus melampirkan kebijakan sebaris untuk peran yang dibuat berdasarkan salah satu contoh IAM berikut.

Sumber daya statis

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"
        }
      }
    }
  ]
}

Sumber daya dinamis

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"
        }
      }
    }
  ]
}