Struct aws_sdk_sagemaker::client::fluent_builders::CreateCompilationJob

pub struct CreateCompilationJob { /* private fields */ }

Fluent builder constructing a request to CreateCompilationJob.

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with Amazon Web Services IoT Greengrass. In that case, deploy them as an ML resource.

In the request body, you provide the following:

• A name for the compilation job

• Information about the input model artifacts

• The output location for the compiled model and the device (target) that the model runs on

• The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job.

You can also provide a Tag to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn for the compiled job.

To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.

Implementations

impl CreateCompilationJob

pub async fn send(
    self
) -> Result<CreateCompilationJobOutput, SdkError<CreateCompilationJobError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn compilation_job_name(self, input: impl Into<String>) -> Self

A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.

pub fn set_compilation_job_name(self, input: Option<String>) -> Self

A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.

pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

During model compilation, Amazon SageMaker needs your permission to:

• Read input data from an S3 bucket

• Write model artifacts to an S3 bucket

• Write logs to Amazon CloudWatch Logs

• Publish metrics to Amazon CloudWatch

You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker Roles.

pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

During model compilation, Amazon SageMaker needs your permission to:

• Read input data from an S3 bucket

• Write model artifacts to an S3 bucket

• Write logs to Amazon CloudWatch Logs

• Publish metrics to Amazon CloudWatch

You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker Roles.

pub fn model_package_version_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of a versioned model package. Provide either a ModelPackageVersionArn or an InputConfig object in the request syntax. The presence of both objects in the CreateCompilationJob request will return an exception.

pub fn set_model_package_version_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of a versioned model package. Provide either a ModelPackageVersionArn or an InputConfig object in the request syntax. The presence of both objects in the CreateCompilationJob request will return an exception.

pub fn input_config(self, input: InputConfig) -> Self

Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

pub fn set_input_config(self, input: Option<InputConfig>) -> Self

Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

pub fn output_config(self, input: OutputConfig) -> Self

Provides information about the output location for the compiled model and the target device the model runs on.

pub fn set_output_config(self, input: Option<OutputConfig>) -> Self

Provides information about the output location for the compiled model and the target device the model runs on.

pub fn vpc_config(self, input: NeoVpcConfig) -> Self

A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.

pub fn set_vpc_config(self, input: Option<NeoVpcConfig>) -> Self

A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.

pub fn stopping_condition(self, input: StoppingCondition) -> Self

Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.

pub fn set_stopping_condition(self, input: Option<StoppingCondition>) -> Self

Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.

pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_tags.

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Trait Implementations

impl Clone for CreateCompilationJob

fn clone(&self) -> CreateCompilationJob

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateCompilationJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.