Struct aws_sdk_sagemaker::model::PendingProductionVariantSummary

#[non_exhaustive]
pub struct PendingProductionVariantSummary {
    pub variant_name: Option<String>,
    pub deployed_images: Option<Vec<DeployedImage>>,
    pub current_weight: Option<f32>,
    pub desired_weight: Option<f32>,
    pub current_instance_count: Option<i32>,
    pub desired_instance_count: Option<i32>,
    pub instance_type: Option<ProductionVariantInstanceType>,
    pub accelerator_type: Option<ProductionVariantAcceleratorType>,
    pub variant_status: Option<Vec<ProductionVariantStatus>>,
    pub current_serverless_config: Option<ProductionVariantServerlessConfig>,
    pub desired_serverless_config: Option<ProductionVariantServerlessConfig>,
}

The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint operations. Describes the VariantStatus , weight and capacity for a production variant associated with an endpoint.

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.

variant_name: Option<String>

The name of the variant.

deployed_images: Option<Vec<DeployedImage>>

An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

current_weight: Option<f32>

The weight associated with the variant.

desired_weight: Option<f32>

The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

current_instance_count: Option<i32>

The number of instances associated with the variant.

desired_instance_count: Option<i32>

The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

instance_type: Option<ProductionVariantInstanceType>

The type of instances associated with the variant.

accelerator_type: Option<ProductionVariantAcceleratorType>

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

variant_status: Option<Vec<ProductionVariantStatus>>

The endpoint variant status which describes the current deployment stage status or operational status.

current_serverless_config: Option<ProductionVariantServerlessConfig>

The serverless configuration for the endpoint.

Serverless Inference is in preview release for Amazon SageMaker and is subject to change. We do not recommend using this feature in production environments.

desired_serverless_config: Option<ProductionVariantServerlessConfig>

The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.

Serverless Inference is in preview release for Amazon SageMaker and is subject to change. We do not recommend using this feature in production environments.

Implementations

impl PendingProductionVariantSummary

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

The name of the variant.

pub fn deployed_images(&self) -> Option<&[DeployedImage]>

An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

pub fn current_weight(&self) -> Option<f32>

The weight associated with the variant.

pub fn desired_weight(&self) -> Option<f32>

The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

pub fn current_instance_count(&self) -> Option<i32>

The number of instances associated with the variant.

pub fn desired_instance_count(&self) -> Option<i32>

The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

pub fn instance_type(&self) -> Option<&ProductionVariantInstanceType>

The type of instances associated with the variant.

pub fn accelerator_type(&self) -> Option<&ProductionVariantAcceleratorType>

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

pub fn variant_status(&self) -> Option<&[ProductionVariantStatus]>

The endpoint variant status which describes the current deployment stage status or operational status.

pub fn current_serverless_config(
    &self
) -> Option<&ProductionVariantServerlessConfig>

The serverless configuration for the endpoint.

Serverless Inference is in preview release for Amazon SageMaker and is subject to change. We do not recommend using this feature in production environments.

pub fn desired_serverless_config(
    &self
) -> Option<&ProductionVariantServerlessConfig>

The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.

Serverless Inference is in preview release for Amazon SageMaker and is subject to change. We do not recommend using this feature in production environments.

impl PendingProductionVariantSummary

pub fn builder() -> Builder

Creates a new builder-style object to manufacture PendingProductionVariantSummary

Trait Implementations

impl Clone for PendingProductionVariantSummary

fn clone(&self) -> PendingProductionVariantSummary

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for PendingProductionVariantSummary

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

Formats the value using the given formatter.

impl PartialEq<PendingProductionVariantSummary> for PendingProductionVariantSummary

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

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

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

This method tests for !=.

impl StructuralPartialEq for PendingProductionVariantSummary