DescribeCompilationJobOutputBuilder

Struct DescribeCompilationJobOutputBuilder 

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#[non_exhaustive]
pub struct DescribeCompilationJobOutputBuilder { /* private fields */ }
Expand description

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impl DescribeCompilationJobOutputBuilder

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

The name of the model compilation job.

This field is required.
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pub fn set_compilation_job_name(self, input: Option<String>) -> Self

The name of the model compilation job.

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pub fn get_compilation_job_name(&self) -> &Option<String>

The name of the model compilation job.

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

The Amazon Resource Name (ARN) of the model compilation job.

This field is required.
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pub fn set_compilation_job_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the model compilation job.

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pub fn get_compilation_job_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the model compilation job.

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pub fn compilation_job_status(self, input: CompilationJobStatus) -> Self

The status of the model compilation job.

This field is required.
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pub fn set_compilation_job_status( self, input: Option<CompilationJobStatus>, ) -> Self

The status of the model compilation job.

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pub fn get_compilation_job_status(&self) -> &Option<CompilationJobStatus>

The status of the model compilation job.

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pub fn compilation_start_time(self, input: DateTime) -> Self

The time when the model compilation job started the CompilationJob instances.

You are billed for the time between this timestamp and the timestamp in the CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.

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pub fn set_compilation_start_time(self, input: Option<DateTime>) -> Self

The time when the model compilation job started the CompilationJob instances.

You are billed for the time between this timestamp and the timestamp in the CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.

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pub fn get_compilation_start_time(&self) -> &Option<DateTime>

The time when the model compilation job started the CompilationJob instances.

You are billed for the time between this timestamp and the timestamp in the CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.

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pub fn compilation_end_time(self, input: DateTime) -> Self

The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.

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pub fn set_compilation_end_time(self, input: Option<DateTime>) -> Self

The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.

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pub fn get_compilation_end_time(&self) -> &Option<DateTime>

The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.

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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 AI ends the compilation job. Use this API to cap model training costs.

This field is required.
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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 AI ends the compilation job. Use this API to cap model training costs.

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pub fn get_stopping_condition(&self) -> &Option<StoppingCondition>

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

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

The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.

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

The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.

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pub fn get_inference_image(&self) -> &Option<String>

The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.

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

The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.

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

The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.

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pub fn get_model_package_version_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.

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pub fn creation_time(self, input: DateTime) -> Self

The time that the model compilation job was created.

This field is required.
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pub fn set_creation_time(self, input: Option<DateTime>) -> Self

The time that the model compilation job was created.

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pub fn get_creation_time(&self) -> &Option<DateTime>

The time that the model compilation job was created.

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pub fn last_modified_time(self, input: DateTime) -> Self

The time that the status of the model compilation job was last modified.

This field is required.
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pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

The time that the status of the model compilation job was last modified.

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pub fn get_last_modified_time(&self) -> &Option<DateTime>

The time that the status of the model compilation job was last modified.

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

If a model compilation job failed, the reason it failed.

This field is required.
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pub fn set_failure_reason(self, input: Option<String>) -> Self

If a model compilation job failed, the reason it failed.

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pub fn get_failure_reason(&self) -> &Option<String>

If a model compilation job failed, the reason it failed.

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pub fn model_artifacts(self, input: ModelArtifacts) -> Self

Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.

This field is required.
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pub fn set_model_artifacts(self, input: Option<ModelArtifacts>) -> Self

Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.

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pub fn get_model_artifacts(&self) -> &Option<ModelArtifacts>

Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.

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pub fn model_digests(self, input: ModelDigests) -> Self

Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.

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pub fn set_model_digests(self, input: Option<ModelDigests>) -> Self

Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.

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pub fn get_model_digests(&self) -> &Option<ModelDigests>

Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.

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

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

This field is required.
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pub fn set_role_arn(self, input: Option<String>) -> Self

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

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pub fn get_role_arn(&self) -> &Option<String>

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

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

Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

This field is required.
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pub fn set_input_config(self, input: Option<InputConfig>) -> Self

Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

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pub fn get_input_config(&self) -> &Option<InputConfig>

Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

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

Information about the output location for the compiled model and the target device that the model runs on.

This field is required.
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pub fn set_output_config(self, input: Option<OutputConfig>) -> Self

Information about the output location for the compiled model and the target device that the model runs on.

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pub fn get_output_config(&self) -> &Option<OutputConfig>

Information about the output location for the compiled model and the target device that the model runs on.

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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.

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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.

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pub fn get_vpc_config(&self) -> &Option<NeoVpcConfig>

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.

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pub fn derived_information(self, input: DerivedInformation) -> Self

Information that SageMaker Neo automatically derived about the model.

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pub fn set_derived_information(self, input: Option<DerivedInformation>) -> Self

Information that SageMaker Neo automatically derived about the model.

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pub fn get_derived_information(&self) -> &Option<DerivedInformation>

Information that SageMaker Neo automatically derived about the model.

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pub fn build(self) -> DescribeCompilationJobOutput

Consumes the builder and constructs a DescribeCompilationJobOutput.

Trait Implementations§

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impl Clone for DescribeCompilationJobOutputBuilder

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fn clone(&self) -> DescribeCompilationJobOutputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DescribeCompilationJobOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for DescribeCompilationJobOutputBuilder

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fn default() -> DescribeCompilationJobOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for DescribeCompilationJobOutputBuilder

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fn eq(&self, other: &DescribeCompilationJobOutputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for DescribeCompilationJobOutputBuilder

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