Struct aws_sdk_sagemaker::operation::describe_compilation_job::DescribeCompilationJobOutput

#[non_exhaustive]
pub struct DescribeCompilationJobOutput {

    pub compilation_job_name: Option<String>,
    pub compilation_job_arn: Option<String>,
    pub compilation_job_status: Option<CompilationJobStatus>,
    pub compilation_start_time: Option<DateTime>,
    pub compilation_end_time: Option<DateTime>,
    pub stopping_condition: Option<StoppingCondition>,
    pub inference_image: Option<String>,
    pub model_package_version_arn: Option<String>,
    pub creation_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub failure_reason: Option<String>,
    pub model_artifacts: Option<ModelArtifacts>,
    pub model_digests: Option<ModelDigests>,
    pub role_arn: Option<String>,
    pub input_config: Option<InputConfig>,
    pub output_config: Option<OutputConfig>,
    pub vpc_config: Option<NeoVpcConfig>,
    /* private fields */
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

compilation_job_name: Option<String>

The name of the model compilation job.

compilation_job_arn: Option<String>

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

compilation_job_status: Option<CompilationJobStatus>

The status of the model compilation job.

compilation_start_time: 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.

compilation_end_time: 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 detected that the job failed.

stopping_condition: Option<StoppingCondition>

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.

inference_image: Option<String>

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

model_package_version_arn: Option<String>

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

creation_time: Option<DateTime>

The time that the model compilation job was created.

last_modified_time: Option<DateTime>

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

failure_reason: Option<String>

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

model_artifacts: Option<ModelArtifacts>

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

model_digests: Option<ModelDigests>

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

role_arn: Option<String>

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

input_config: 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.

output_config: Option<OutputConfig>

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

vpc_config: 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.

Implementations

impl DescribeCompilationJobOutput

pub fn compilation_job_name(&self) -> Option<&str>

The name of the model compilation job.

pub fn compilation_job_arn(&self) -> Option<&str>

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

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

The status of the model compilation job.

pub fn 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.

pub fn 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 detected that the job failed.

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

pub fn inference_image(&self) -> Option<&str>

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

pub fn model_package_version_arn(&self) -> Option<&str>

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

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

The time that the model compilation job was created.

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

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

pub fn failure_reason(&self) -> Option<&str>

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

pub fn 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.

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

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

pub fn role_arn(&self) -> Option<&str>

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

pub fn 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.

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

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

pub fn 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.

impl DescribeCompilationJobOutput

pub fn builder() -> DescribeCompilationJobOutputBuilder

Creates a new builder-style object to manufacture DescribeCompilationJobOutput.

Trait Implementations

impl Clone for DescribeCompilationJobOutput

fn clone(&self) -> DescribeCompilationJobOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeCompilationJobOutput

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

Formats the value using the given formatter.

impl PartialEq<DescribeCompilationJobOutput> for DescribeCompilationJobOutput

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl RequestId for DescribeCompilationJobOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DescribeCompilationJobOutput