Struct AdditionalInferenceSpecificationDefinition

#[non_exhaustive]
pub struct AdditionalInferenceSpecificationDefinition {
    pub name: Option<String>,
    pub description: Option<String>,
    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>>,
}

A structure of additional Inference Specification. Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package

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.

name: Option<String>

A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.

description: Option<String>

A description of the additional Inference specification

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.

supported_realtime_inference_instance_types: Option<Vec<ProductionVariantInstanceType>>

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

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 AdditionalInferenceSpecificationDefinition

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

A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.

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

A description of the additional Inference specification

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

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .containers.is_none().

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

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .supported_transform_instance_types.is_none().

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

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .supported_realtime_inference_instance_types.is_none().

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

The supported MIME types for the input data.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .supported_content_types.is_none().

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

The supported MIME types for the output data.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .supported_response_mime_types.is_none().

impl AdditionalInferenceSpecificationDefinition

pub fn builder() -> AdditionalInferenceSpecificationDefinitionBuilder

Creates a new builder-style object to manufacture AdditionalInferenceSpecificationDefinition.

Trait Implementations

impl Clone for AdditionalInferenceSpecificationDefinition

fn clone(&self) -> AdditionalInferenceSpecificationDefinition

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdditionalInferenceSpecificationDefinition

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

Formats the value using the given formatter.

impl PartialEq for AdditionalInferenceSpecificationDefinition

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for AdditionalInferenceSpecificationDefinition