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# Crea e gestisci lavori Amazon SageMaker AI con Step Functions
Scopri come utilizzare Step Functions per creare e gestire lavori sull' SageMaker intelligenza artificiale. Questa pagina elenca le azioni API SageMaker AI supportate e fornisce esempi di `Task` stati per creare processi di trasformazione, formazione, etichettatura ed elaborazione dell' SageMaker IA.
Per ulteriori informazioni sull'integrazione con AWS i servizi in Step Functions, vedere [Integrazione dei servizi ](integrate-services.md) e[Passaggio di parametri a un'API di servizio in Step Functions](connect-parameters.md).
**Caratteristiche principali dell'integrazione SageMaker AI ottimizzata**
Il modello di [Esegui un processo (.sync)](connect-to-resource.md#connect-sync) integrazione è supportato.
Non esistono ottimizzazioni specifiche per il modello di [Richiesta e risposta](connect-to-resource.md#connect-default) integrazione.
Il modello di [Attendi una richiamata con Task Token](connect-to-resource.md#connect-wait-token) integrazione non è supportato.
## SageMaker AI ottimizzata APIs
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html)
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html)
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateHyperParameterTuningJob.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateHyperParameterTuningJob.html)- Supporta il modello di `.sync` integrazione.
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateLabelingJob.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateLabelingJob.html)- Supporta il modello di `.sync` integrazione.
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateModel.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateModel.html)
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateProcessingJob.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateProcessingJob.html)- Supporta il modello di `.sync` integrazione.
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTrainingJob.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTrainingJob.html)- Supporta il modello di `.sync` integrazione.
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTransformJob.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTransformJob.html)- Supporta il modello di `.sync` integrazione.
+ [https://docs.aws.amazon.com/sagemaker/latest/dg/API_UpdateEndpoint.html](https://docs.aws.amazon.com/sagemaker/latest/dg/API_UpdateEndpoint.html)
**Nota**
AWS Step Functionsnon creerà automaticamente una politica per`CreateTransformJob`. Devi allegare una policy inline al ruolo creato. Per ulteriori informazioni, consulta questo esempio di politica IAM:[`CreateTrainingJob`](#sagemaker-iam-createtrainingjob).
## SageMaker Esempio di lavoro con AI Transform
Quanto segue include uno `Task` stato che crea un processo di trasformazione Amazon SageMaker AI, specificando la posizione `DataSource` Amazon S3 per e. `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 Esempio di lavoro di AI Training
Quanto segue include uno `Task` stato che crea un processo di formazione Amazon SageMaker AI.
```
{
"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 Esempio di lavoro di etichettatura AI
Quanto segue include uno `Task` stato che crea un processo di etichettatura Amazon SageMaker AI.
```
{
"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": "{% $states.input.LabelingJobArn != '' %}"
}
],
"Default": "Fail"
},
"Success": {
"Type": "Succeed"
},
"Fail": {
"Type": "Fail",
"Error": "InvalidOutput",
"Cause": "Output is not what was expected. This could be due to a service outage or a misconfigured service integration."
}
}
}
```
## SageMaker Esempio di lavoro di elaborazione AI
Quanto segue include uno `Task` stato che crea un processo di elaborazione Amazon SageMaker AI.
```
{
"StartAt": "SageMaker CreateProcessingJob Sync",
"TimeoutSeconds": 3600,
"States": {
"SageMaker CreateProcessingJob Sync": {
"Type": "Task",
"Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync",
"Arguments": {
"AppSpecification": {
"ImageUri": "737474898029.dkr.ecr.sa-east-1.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3"
},
"ProcessingResources": {
"ClusterConfig": {
"InstanceCount": 1,
"InstanceType": "ml.t3.medium",
"VolumeSizeInGB": 10
}
},
"RoleArn": "arn:aws:iam::account-id:role/SM-003-CreateProcessingJobAPIExecutionRole",
"ProcessingJobName.$": "$.id"
},
"Next": "ValidateOutput"
},
"ValidateOutput": {
"Type": "Choice",
"Choices": [
{
"Not": {
"Variable": "$.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."
}
}
}
```
## Politiche IAM per le chiamate ad Amazon SageMaker AI
I seguenti modelli di esempio mostrano come AWS Step Functions generare politiche IAM in base alle risorse nella definizione della macchina a stati. Per ulteriori informazioni, consultare [In che modo Step Functions genera policy IAM per servizi integrati](service-integration-iam-templates.md) e [Scopri i modelli di integrazione dei servizi in Step Functions](connect-to-resource.md).
**Nota**
Per questi esempi, fai `roleArn` riferimento all'Amazon Resource Name (ARN) del ruolo IAM che l' SageMaker intelligenza artificiale utilizza per accedere agli artefatti del modello e alle immagini docker per la distribuzione su istanze di calcolo ML o per lavori di trasformazione in batch. Per ulteriori informazioni, consulta [Amazon SageMaker Roles](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
### `CreateTrainingJob`
*Risorse statiche*
------
#### [ Run a Job (.sync) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob",
"sagemaker:DescribeTrainingJob",
"sagemaker:StopTrainingJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:training-job/myJobName*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
},
{
"Effect": "Allow",
"Action": [
"events:PutTargets",
"events:PutRule",
"events:DescribeRule"
],
"Resource": [
"arn:aws:events:us-east-1:123456789012:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule"
]
}
]
}
```
------
#### [ Request Response and Callback (.waitForTaskToken) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:training-job/myJobName*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
}
]
}
```
------
*Risorse dinamiche*
------
#### [ .sync or .waitForTaskToken ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob",
"sagemaker:DescribeTrainingJob",
"sagemaker:StopTrainingJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:training-job/*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
},
{
"Effect": "Allow",
"Action": [
"events:PutTargets",
"events:PutRule",
"events:DescribeRule"
],
"Resource": [
"arn:aws:events:us-east-1:123456789012:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule"
]
}
]
}
```
------
#### [ Request Response and Callback (.waitForTaskToken) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:training-job/*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
}
]
}
```
------
### `CreateTransformJob`
**Nota**
AWS Step Functionsnon creerà automaticamente una policy per `CreateTransformJob` quando crei una macchina a stati che si integra con l' SageMaker intelligenza artificiale. È necessario allegare una policy in linea al ruolo creato sulla base di uno dei seguenti esempi IAM.
*Risorse statiche*
------
#### [ Run a Job (.sync) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTransformJob",
"sagemaker:DescribeTransformJob",
"sagemaker:StopTransformJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:transform-job/myJobName*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
},
{
"Effect": "Allow",
"Action": [
"events:PutTargets",
"events:PutRule",
"events:DescribeRule"
],
"Resource": [
"arn:aws:events:us-east-1:123456789012:rule/StepFunctionsGetEventsForSageMakerTransformJobsRule"
]
}
]
}
```
------
#### [ Request Response and Callback (.waitForTaskToken) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTransformJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:transform-job/myJobName*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
}
]
}
```
------
*Risorse dinamiche*
------
#### [ Run a Job (.sync) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTransformJob",
"sagemaker:DescribeTransformJob",
"sagemaker:StopTransformJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:transform-job/*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
},
{
"Effect": "Allow",
"Action": [
"events:PutTargets",
"events:PutRule",
"events:DescribeRule"
],
"Resource": [
"arn:aws:events:us-east-1:123456789012:rule/StepFunctionsGetEventsForSageMakerTransformJobsRule"
]
}
]
}
```
------
#### [ Request Response and Callback (.waitForTaskToken) ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTransformJob"
],
"Resource": [
"arn:aws:sagemaker:us-east-1:123456789012:transform-job/*"
]
},
{
"Effect": "Allow",
"Action": [
"sagemaker:ListTags",
"sagemaker:AddTags"
],
"Resource": [
"*"
]
},
{
"Effect": "Allow",
"Action": [
"iam:PassRole"
],
"Resource": [
"arn:aws:iam::123456789012:role/MyExampleRole"
],
"Condition": {
"StringEquals": {
"iam:PassedToService": "sagemaker.amazonaws.com"
}
}
}
]
}
```
------