Struct SearchTrainingPlanOfferingsInput 

#[non_exhaustive]
pub struct SearchTrainingPlanOfferingsInput {
    pub instance_type: Option<ReservedCapacityInstanceType>,
    pub instance_count: Option<i32>,
    pub ultra_server_type: Option<String>,
    pub ultra_server_count: Option<i32>,
    pub start_time_after: Option<DateTime>,
    pub end_time_before: Option<DateTime>,
    pub duration_hours: Option<i64>,
    pub target_resources: Option<Vec<SageMakerResourceName>>,
}

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.

instance_type: Option<ReservedCapacityInstanceType>

The type of instance you want to search for in the available training plan offerings. This field allows you to filter the search results based on the specific compute resources you require for your SageMaker training jobs or SageMaker HyperPod clusters. When searching for training plan offerings, specifying the instance type helps you find Reserved Instances that match your computational needs.

instance_count: Option<i32>

The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.

ultra_server_type: Option<String>

The type of UltraServer to search for, such as ml.u-p6e-gb200x72.

ultra_server_count: Option<i32>

The number of UltraServers to search for.

start_time_after: Option<DateTime>

A filter to search for training plan offerings with a start time after a specified date.

end_time_before: Option<DateTime>

A filter to search for reserved capacity offerings with an end time before a specified date.

duration_hours: Option<i64>

The desired duration in hours for the training plan offerings.

target_resources: Option<Vec<SageMakerResourceName>>

The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) to search for in the offerings.

Training plans are specific to their target resource.

• A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.

• A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster's instance group.

Implementations

impl SearchTrainingPlanOfferingsInput

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

The type of instance you want to search for in the available training plan offerings. This field allows you to filter the search results based on the specific compute resources you require for your SageMaker training jobs or SageMaker HyperPod clusters. When searching for training plan offerings, specifying the instance type helps you find Reserved Instances that match your computational needs.

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

The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.

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

The type of UltraServer to search for, such as ml.u-p6e-gb200x72.

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

The number of UltraServers to search for.

pub fn start_time_after(&self) -> Option<&DateTime>

A filter to search for training plan offerings with a start time after a specified date.

pub fn end_time_before(&self) -> Option<&DateTime>

A filter to search for reserved capacity offerings with an end time before a specified date.

pub fn duration_hours(&self) -> Option<i64>

The desired duration in hours for the training plan offerings.

pub fn target_resources(&self) -> &[SageMakerResourceName]

The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) to search for in the offerings.

Training plans are specific to their target resource.

• A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.

• A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster's instance group.

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

impl SearchTrainingPlanOfferingsInput

pub fn builder() -> SearchTrainingPlanOfferingsInputBuilder

Creates a new builder-style object to manufacture SearchTrainingPlanOfferingsInput.

Trait Implementations

impl Clone for SearchTrainingPlanOfferingsInput

fn clone(&self) -> SearchTrainingPlanOfferingsInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SearchTrainingPlanOfferingsInput

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

Formats the value using the given formatter.

impl PartialEq for SearchTrainingPlanOfferingsInput

fn eq(&self, other: &SearchTrainingPlanOfferingsInput) -> 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 SearchTrainingPlanOfferingsInput