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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_cluster::_create_cluster_output::CreateClusterOutputBuilder;
pub use crate::operation::create_cluster::_create_cluster_input::CreateClusterInputBuilder;
impl CreateClusterInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::create_cluster::CreateClusterOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_cluster::CreateClusterError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_cluster();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateCluster`.
///
/// <p>Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-hyperpod.html">Amazon SageMaker HyperPod</a> in the <i>Amazon SageMaker Developer Guide</i>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateClusterFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_cluster::builders::CreateClusterInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_cluster::CreateClusterOutput,
crate::operation::create_cluster::CreateClusterError,
> for CreateClusterFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_cluster::CreateClusterOutput,
crate::operation::create_cluster::CreateClusterError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateClusterFluentBuilder {
/// Creates a new `CreateCluster`.
pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
Self {
handle,
inner: ::std::default::Default::default(),
config_override: ::std::option::Option::None,
}
}
/// Access the CreateCluster as a reference.
pub fn as_input(&self) -> &crate::operation::create_cluster::builders::CreateClusterInputBuilder {
&self.inner
}
/// 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](aws_smithy_types::retry::RetryConfig), which can be
/// set when configuring the client.
pub async fn send(
self,
) -> ::std::result::Result<
crate::operation::create_cluster::CreateClusterOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_cluster::CreateClusterError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self
.inner
.build()
.map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::create_cluster::CreateCluster::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_cluster::CreateCluster::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being sent.
pub fn customize(
self,
) -> crate::client::customize::CustomizableOperation<
crate::operation::create_cluster::CreateClusterOutput,
crate::operation::create_cluster::CreateClusterError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
self.set_config_override(Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The name for the new SageMaker HyperPod cluster.</p>
pub fn cluster_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.cluster_name(input.into());
self
}
/// <p>The name for the new SageMaker HyperPod cluster.</p>
pub fn set_cluster_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_cluster_name(input);
self
}
/// <p>The name for the new SageMaker HyperPod cluster.</p>
pub fn get_cluster_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_cluster_name()
}
/// Appends an item to `InstanceGroups`.
///
/// To override the contents of this collection use [`set_instance_groups`](Self::set_instance_groups).
///
/// <p>The instance groups to be created in the SageMaker HyperPod cluster.</p>
pub fn instance_groups(mut self, input: crate::types::ClusterInstanceGroupSpecification) -> Self {
self.inner = self.inner.instance_groups(input);
self
}
/// <p>The instance groups to be created in the SageMaker HyperPod cluster.</p>
pub fn set_instance_groups(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ClusterInstanceGroupSpecification>>) -> Self {
self.inner = self.inner.set_instance_groups(input);
self
}
/// <p>The instance groups to be created in the SageMaker HyperPod cluster.</p>
pub fn get_instance_groups(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ClusterInstanceGroupSpecification>> {
self.inner.get_instance_groups()
}
/// <p>Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/infrastructure-give-access.html">Give SageMaker Access to Resources in your Amazon VPC</a>.</p>
pub fn vpc_config(mut self, input: crate::types::VpcConfig) -> Self {
self.inner = self.inner.vpc_config(input);
self
}
/// <p>Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/infrastructure-give-access.html">Give SageMaker Access to Resources in your Amazon VPC</a>.</p>
pub fn set_vpc_config(mut self, input: ::std::option::Option<crate::types::VpcConfig>) -> Self {
self.inner = self.inner.set_vpc_config(input);
self
}
/// <p>Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/infrastructure-give-access.html">Give SageMaker Access to Resources in your Amazon VPC</a>.</p>
pub fn get_vpc_config(&self) -> &::std::option::Option<crate::types::VpcConfig> {
self.inner.get_vpc_config()
}
/// Appends an item to `Tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see <a href="https://docs.aws.amazon.com/tag-editor/latest/userguide/tagging.html">Tagging Amazon Web Services Resources User Guide</a>.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see <a href="https://docs.aws.amazon.com/tag-editor/latest/userguide/tagging.html">Tagging Amazon Web Services Resources User Guide</a>.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_tags(input);
self
}
/// <p>Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see <a href="https://docs.aws.amazon.com/tag-editor/latest/userguide/tagging.html">Tagging Amazon Web Services Resources User Guide</a>.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}