Struct aws_sdk_sagemaker::model::PendingProductionVariantSummary[][src]

#[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>>, }
Expand description

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)

This struct is marked as 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.

Implementations

The name of the variant.

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

The weight associated with the variant.

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.

The number of instances associated with the variant.

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.

The type of instances associated with the variant.

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.

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

Creates a new builder-style object to manufacture PendingProductionVariantSummary

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