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pub struct DescribeCompilationJobResponse {
Show 16 fields pub compilation_end_time: Option<f64>, pub compilation_job_arn: String, pub compilation_job_name: String, pub compilation_job_status: String, pub compilation_start_time: Option<f64>, pub creation_time: f64, pub failure_reason: String, pub inference_image: Option<String>, pub input_config: InputConfig, pub last_modified_time: f64, pub model_artifacts: ModelArtifacts, pub model_digests: Option<ModelDigests>, pub output_config: OutputConfig, pub role_arn: String, pub stopping_condition: StoppingCondition, pub vpc_config: Option<NeoVpcConfig>,
}

Fields

compilation_end_time: Option<f64>

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.

compilation_job_arn: String

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

compilation_job_name: String

The name of the model compilation job.

compilation_job_status: String

The status of the model compilation job.

compilation_start_time: Option<f64>

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 DescribeCompilationJobResponse$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.

creation_time: f64

The time that the model compilation job was created.

failure_reason: String

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

inference_image: Option<String>input_config: 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.

last_modified_time: f64

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

model_artifacts: 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.

output_config: OutputConfig

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

role_arn: String

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

stopping_condition: 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.

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.

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