Struct aws_sdk_sagemaker::model::InferenceSpecification

#[non_exhaustive]
pub struct InferenceSpecification {
    pub containers: Option<Vec<ModelPackageContainerDefinition>>,
    pub supported_transform_instance_types: Option<Vec<TransformInstanceType>>,
    pub supported_realtime_inference_instance_types: Option<Vec<ProductionVariantInstanceType>>,
    pub supported_content_types: Option<Vec<String>>,
    pub supported_response_mime_types: Option<Vec<String>>,
}

Defines how to perform inference generation after a training job is run.

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.

containers: Option<Vec<ModelPackageContainerDefinition>>

The Amazon ECR registry path of the Docker image that contains the inference code.

supported_transform_instance_types: Option<Vec<TransformInstanceType>>

A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

supported_realtime_inference_instance_types: Option<Vec<ProductionVariantInstanceType>>

A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

supported_content_types: Option<Vec<String>>

The supported MIME types for the input data.

supported_response_mime_types: Option<Vec<String>>

The supported MIME types for the output data.

Implementations

impl InferenceSpecification

pub fn containers(&self) -> Option<&[ModelPackageContainerDefinition]>

The Amazon ECR registry path of the Docker image that contains the inference code.

pub fn supported_transform_instance_types(
    &self
) -> Option<&[TransformInstanceType]>

A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

pub fn supported_realtime_inference_instance_types(
    &self
) -> Option<&[ProductionVariantInstanceType]>

A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

pub fn supported_content_types(&self) -> Option<&[String]>

The supported MIME types for the input data.

pub fn supported_response_mime_types(&self) -> Option<&[String]>

The supported MIME types for the output data.

impl InferenceSpecification

pub fn builder() -> Builder

Creates a new builder-style object to manufacture InferenceSpecification

Trait Implementations

impl Clone for InferenceSpecification

fn clone(&self) -> InferenceSpecification

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InferenceSpecification

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

Formats the value using the given formatter.

impl PartialEq<InferenceSpecification> for InferenceSpecification

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

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

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

This method tests for !=.

impl StructuralPartialEq for InferenceSpecification