Struct aws_sdk_sagemaker::model::production_variant::Builder

#[non_exhaustive]
pub struct Builder { /* fields omitted */ }

A builder for ProductionVariant

Implementations

impl Builder

pub fn variant_name(self, input: impl Into<String>) -> Self

The name of the production variant.

pub fn set_variant_name(self, input: Option<String>) -> Self

The name of the production variant.

pub fn model_name(self, input: impl Into<String>) -> Self

The name of the model that you want to host. This is the name that you specified when creating the model.

pub fn set_model_name(self, input: Option<String>) -> Self

The name of the model that you want to host. This is the name that you specified when creating the model.

pub fn initial_instance_count(self, input: i32) -> Self

Number of instances to launch initially.

pub fn set_initial_instance_count(self, input: Option<i32>) -> Self

Number of instances to launch initially.

pub fn instance_type(self, input: ProductionVariantInstanceType) -> Self

The ML compute instance type.

pub fn set_instance_type(
    self,
    input: Option<ProductionVariantInstanceType>
) -> Self

The ML compute instance type.

pub fn initial_variant_weight(self, input: f32) -> Self

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

pub fn set_initial_variant_weight(self, input: Option<f32>) -> Self

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

pub fn accelerator_type(self, input: ProductionVariantAcceleratorType) -> Self

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 set_accelerator_type(
    self,
    input: Option<ProductionVariantAcceleratorType>
) -> Self

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 core_dump_config(self, input: ProductionVariantCoreDumpConfig) -> Self

Specifies configuration for a core dump from the model container when the process crashes.

pub fn set_core_dump_config(
    self,
    input: Option<ProductionVariantCoreDumpConfig>
) -> Self

Specifies configuration for a core dump from the model container when the process crashes.

pub fn build(self) -> ProductionVariant

Consumes the builder and constructs a ProductionVariant

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

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

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

This method tests for !=.

impl StructuralPartialEq for Builder