쿠키 기본 설정 선택

당사는 사이트와 서비스를 제공하는 데 필요한 필수 쿠키 및 유사한 도구를 사용합니다. 고객이 사이트를 어떻게 사용하는지 파악하고 개선할 수 있도록 성능 쿠키를 사용해 익명의 통계를 수집합니다. 필수 쿠키는 비활성화할 수 없지만 '사용자 지정' 또는 ‘거부’를 클릭하여 성능 쿠키를 거부할 수 있습니다.

사용자가 동의하는 경우 AWS와 승인된 제3자도 쿠키를 사용하여 유용한 사이트 기능을 제공하고, 사용자의 기본 설정을 기억하고, 관련 광고를 비롯한 관련 콘텐츠를 표시합니다. 필수가 아닌 모든 쿠키를 수락하거나 거부하려면 ‘수락’ 또는 ‘거부’를 클릭하세요. 더 자세한 내용을 선택하려면 ‘사용자 정의’를 클릭하세요.

AWS::SageMaker::Pipeline

포커스 모드
AWS::SageMaker::Pipeline - AWS CloudFormation
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The AWS::SageMaker::Pipeline resource creates shell scripts that run when you create and/or start a SageMaker Pipeline. For information about SageMaker Pipelines, see SageMaker Pipelines in the Amazon SageMaker Developer Guide.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{ "Type" : "AWS::SageMaker::Pipeline", "Properties" : { "ParallelismConfiguration" : ParallelismConfiguration, "PipelineDefinition" : PipelineDefinition, "PipelineDescription" : String, "PipelineDisplayName" : String, "PipelineName" : String, "RoleArn" : String, "Tags" : [ Tag, ... ] } }

Properties

ParallelismConfiguration

The parallelism configuration applied to the pipeline.

Required: No

Type: ParallelismConfiguration

Update requires: No interruption

PipelineDefinition

The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.

Required: Yes

Type: PipelineDefinition

Update requires: No interruption

PipelineDescription

The description of the pipeline.

Required: No

Type: String

Minimum: 0

Maximum: 3072

Update requires: No interruption

PipelineDisplayName

The display name of the pipeline.

Required: No

Type: String

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*

Minimum: 1

Maximum: 256

Update requires: No interruption

PipelineName

The name of the pipeline.

Required: Yes

Type: String

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*

Minimum: 1

Maximum: 256

Update requires: Replacement

RoleArn

The Amazon Resource Name (ARN) of the IAM role used to execute the pipeline.

Required: Yes

Type: String

Pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

Minimum: 20

Maximum: 2048

Update requires: No interruption

Tags

The tags of the pipeline.

Required: No

Type: Array of Tag

Minimum: 0

Maximum: 50

Update requires: No interruption

Return values

Ref

When you pass the logical ID of this resource to the intrinsic Ref function, Ref returns the PipelineName of the pipeline.

For more information about using the Ref function, see Ref.

Examples

SageMaker Pipeline Example

The following example creates a Pipeline with an associated lifecycle configuration.

JSON

# Pipeline definition given as a JSON string { "Resources": { "MyPipeline": { "Type": "AWS::SageMaker::Pipeline", "Properties": { "PipelineName": "<pipeline-name>" "PipelineDisplayName": "<pipeline-display-name>", "PipelineDescription": "<pipeline-description>", "PipelineDefinition": { "PipelineDefinitionBody": "{\"Version\":\"2020-12-01\",\"Parameters\":[{\"Name\":\"InputDataSource\",\"DefaultValue\":\"\"},{\"Name\":\"InstanceCount\",\"Type\":\"Integer\",\"DefaultValue\":1}],\"Steps\":[{\"Name\":\"Training1\",\"Type\":\"Training\",\"Arguments\":{\"InputDataConfig\":[{\"DataSource\":{\"S3DataSource\":{\"S3Uri\":{\"Get\":\"Parameters.InputDataSource\"}}}}],\"OutputDataConfig\":{\"S3OutputPath\":\"s3://amzn-s3-demo-bucket/\"},\"ResourceConfig\":{\"InstanceType\":\"ml.m5.large\",\"InstanceCount\":{\"Get\":\"Parameters.InstanceCount\"},\"VolumeSizeInGB\":1024}}}]}" }, "RoleArn": "arn:aws:iam::<account-id>:root" } } } }

JSON

# Pipeline definition given as an S3 string { "Resources": { "MyPipeline": { "Type": "AWS::SageMaker::Pipeline", "Properties": { "PipelineName": "<pipeline-name>", "PipelineDisplayName": "<pipeline-display-name>", "PipelineDescription": "<pipeline-description>", "PipelineDefinition": { "PipelineDefinitionS3Location": { "Bucket": "<S3-bucket-location>", "Key": "<S3-bucket-key>" } }, "RoleArn": "arn:aws:iam::<account-id>:root" } } } }

YAML

# Pipeline definition given as a JSON string Resources: MyPipeline: Type: AWS::SageMaker::Pipeline Properties: PipelineName: "<pipeline-name>" PipelineDisplayName: "<pipeline-display-name>" PipelineDescription: "<pipeline-description>" PipelineDefinition: PipelineDefinitionBody: "{\"Version\":\"2020-12-01\",\"Parameters\":[{\"Name\":\"InputDataSource\",\"DefaultValue\":\"\"},{\"Name\":\"InstanceCount\",\"Type\":\"Integer\",\"DefaultValue\":1}],\"Steps\":[{\"Name\":\"Training1\",\"Type\":\"Training\",\"Arguments\":{\"InputDataConfig\":[{\"DataSource\":{\"S3DataSource\":{\"S3Uri\":{\"Get\":\"Parameters.InputDataSource\"}}}}],\"OutputDataConfig\":{\"S3OutputPath\":\"s3://amzn-s3-demo-bucket/\"},\"ResourceConfig\":{\"InstanceType\":\"ml.m5.large\",\"InstanceCount\":{\"Get\":\"Parameters.InstanceCount\"},\"VolumeSizeInGB\":1024}}}]}" RoleArn: "arn:aws:iam::<account-id>:root"

YAML

# Pipeline definition given as an S3 location Resources: MyPipeline: Type: AWS::SageMaker::Pipeline Properties: PipelineName: "<pipeline-name>" PipelineDisplayName:"<pipeline-display-name>" PipelineDescription: "<pipeline-description>" PipelineDefinition: PipelineDefinitionS3Location: Bucket: "<S3-bucket-location>" Key: "<S3-bucket-key>" RoleArn: "arn:aws:iam::<account-id>:root"

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