SearchTrainingPlanOfferingsInputBuilder

Struct SearchTrainingPlanOfferingsInputBuilder 

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#[non_exhaustive]
pub struct SearchTrainingPlanOfferingsInputBuilder { /* private fields */ }
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impl SearchTrainingPlanOfferingsInputBuilder

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

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.

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

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.

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pub fn get_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.

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

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.

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

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.

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pub fn get_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.

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

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

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

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

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pub fn get_ultra_server_type(&self) -> &Option<String>

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

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

The number of UltraServers to search for.

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

The number of UltraServers to search for.

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

The number of UltraServers to search for.

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pub fn start_time_after(self, input: DateTime) -> Self

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

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pub fn set_start_time_after(self, input: Option<DateTime>) -> Self

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

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

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

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pub fn end_time_before(self, input: DateTime) -> Self

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

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pub fn set_end_time_before(self, input: Option<DateTime>) -> Self

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

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

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

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pub fn duration_hours(self, input: i64) -> Self

The desired duration in hours for the training plan offerings.

This field is required.
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pub fn set_duration_hours(self, input: Option<i64>) -> Self

The desired duration in hours for the training plan offerings.

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

The desired duration in hours for the training plan offerings.

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pub fn target_resources(self, input: SageMakerResourceName) -> Self

Appends an item to target_resources.

To override the contents of this collection use set_target_resources.

The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod, SageMaker Endpoints) 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.

  • A training plan for SageMaker endpoints can be used exclusively to provide compute resources to SageMaker endpoints for model deployment.

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pub fn set_target_resources( self, input: Option<Vec<SageMakerResourceName>>, ) -> Self

The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod, SageMaker Endpoints) 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.

  • A training plan for SageMaker endpoints can be used exclusively to provide compute resources to SageMaker endpoints for model deployment.

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pub fn get_target_resources(&self) -> &Option<Vec<SageMakerResourceName>>

The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod, SageMaker Endpoints) 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.

  • A training plan for SageMaker endpoints can be used exclusively to provide compute resources to SageMaker endpoints for model deployment.

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pub fn build(self) -> Result<SearchTrainingPlanOfferingsInput, BuildError>

Consumes the builder and constructs a SearchTrainingPlanOfferingsInput.

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impl SearchTrainingPlanOfferingsInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<SearchTrainingPlanOfferingsOutput, SdkError<SearchTrainingPlanOfferingsError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for SearchTrainingPlanOfferingsInputBuilder

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fn clone(&self) -> SearchTrainingPlanOfferingsInputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for SearchTrainingPlanOfferingsInputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for SearchTrainingPlanOfferingsInputBuilder

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fn default() -> SearchTrainingPlanOfferingsInputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for SearchTrainingPlanOfferingsInputBuilder

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

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

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