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CreateAIWorkloadConfigFluentBuilder

aws_sdk_sagemaker::operation::create_ai_workload_config::builders

Struct CreateAIWorkloadConfigFluentBuilder 

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pub struct CreateAIWorkloadConfigFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateAIWorkloadConfig.

Creates a reusable AI workload configuration that defines datasets, data sources, and benchmark tool settings for consistent performance testing of generative AI inference deployments on Amazon SageMaker AI.

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impl CreateAIWorkloadConfigFluentBuilder

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pub fn as_input(&self) -> &CreateAiWorkloadConfigInputBuilder

Access the CreateAIWorkloadConfig as a reference.

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pub async fn send( self, ) -> Result<CreateAiWorkloadConfigOutput, SdkError<CreateAIWorkloadConfigError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<CreateAiWorkloadConfigOutput, CreateAIWorkloadConfigError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The name of the AI workload configuration. The name must be unique within your Amazon Web Services account in the current Amazon Web Services Region.

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

The name of the AI workload configuration. The name must be unique within your Amazon Web Services account in the current Amazon Web Services Region.

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

The name of the AI workload configuration. The name must be unique within your Amazon Web Services account in the current Amazon Web Services Region.

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pub fn dataset_config(self, input: AiDatasetConfig) -> Self

The dataset configuration for the workload. Specify input data channels with their data sources for benchmark workloads.

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pub fn set_dataset_config(self, input: Option<AiDatasetConfig>) -> Self

The dataset configuration for the workload. Specify input data channels with their data sources for benchmark workloads.

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pub fn get_dataset_config(&self) -> &Option<AiDatasetConfig>

The dataset configuration for the workload. Specify input data channels with their data sources for benchmark workloads.

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pub fn ai_workload_configs(self, input: AiWorkloadConfigs) -> Self

The benchmark tool configuration and workload specification. Provide the specification as an inline YAML or JSON string.

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pub fn set_ai_workload_configs(self, input: Option<AiWorkloadConfigs>) -> Self

The benchmark tool configuration and workload specification. Provide the specification as an inline YAML or JSON string.

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pub fn get_ai_workload_configs(&self) -> &Option<AiWorkloadConfigs>

The benchmark tool configuration and workload specification. Provide the specification as an inline YAML or JSON string.

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pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_tags.

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Trait Implementations§

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impl Clone for CreateAIWorkloadConfigFluentBuilder

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fn clone(&self) -> CreateAIWorkloadConfigFluentBuilder

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 CreateAIWorkloadConfigFluentBuilder

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

Formats the value using the given formatter. Read more

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