aws_sdk_sagemaker/operation/update_training_job/
builders.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2pub use crate::operation::update_training_job::_update_training_job_output::UpdateTrainingJobOutputBuilder;
3
4pub use crate::operation::update_training_job::_update_training_job_input::UpdateTrainingJobInputBuilder;
5
6impl crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder {
7    /// Sends a request with this input using the given client.
8    pub async fn send_with(
9        self,
10        client: &crate::Client,
11    ) -> ::std::result::Result<
12        crate::operation::update_training_job::UpdateTrainingJobOutput,
13        ::aws_smithy_runtime_api::client::result::SdkError<
14            crate::operation::update_training_job::UpdateTrainingJobError,
15            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
16        >,
17    > {
18        let mut fluent_builder = client.update_training_job();
19        fluent_builder.inner = self;
20        fluent_builder.send().await
21    }
22}
23/// Fluent builder constructing a request to `UpdateTrainingJob`.
24///
25/// <p>Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.</p>
26#[derive(::std::clone::Clone, ::std::fmt::Debug)]
27pub struct UpdateTrainingJobFluentBuilder {
28    handle: ::std::sync::Arc<crate::client::Handle>,
29    inner: crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder,
30    config_override: ::std::option::Option<crate::config::Builder>,
31}
32impl
33    crate::client::customize::internal::CustomizableSend<
34        crate::operation::update_training_job::UpdateTrainingJobOutput,
35        crate::operation::update_training_job::UpdateTrainingJobError,
36    > for UpdateTrainingJobFluentBuilder
37{
38    fn send(
39        self,
40        config_override: crate::config::Builder,
41    ) -> crate::client::customize::internal::BoxFuture<
42        crate::client::customize::internal::SendResult<
43            crate::operation::update_training_job::UpdateTrainingJobOutput,
44            crate::operation::update_training_job::UpdateTrainingJobError,
45        >,
46    > {
47        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
48    }
49}
50impl UpdateTrainingJobFluentBuilder {
51    /// Creates a new `UpdateTrainingJobFluentBuilder`.
52    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
53        Self {
54            handle,
55            inner: ::std::default::Default::default(),
56            config_override: ::std::option::Option::None,
57        }
58    }
59    /// Access the UpdateTrainingJob as a reference.
60    pub fn as_input(&self) -> &crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder {
61        &self.inner
62    }
63    /// Sends the request and returns the response.
64    ///
65    /// If an error occurs, an `SdkError` will be returned with additional details that
66    /// can be matched against.
67    ///
68    /// By default, any retryable failures will be retried twice. Retry behavior
69    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
70    /// set when configuring the client.
71    pub async fn send(
72        self,
73    ) -> ::std::result::Result<
74        crate::operation::update_training_job::UpdateTrainingJobOutput,
75        ::aws_smithy_runtime_api::client::result::SdkError<
76            crate::operation::update_training_job::UpdateTrainingJobError,
77            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
78        >,
79    > {
80        let input = self
81            .inner
82            .build()
83            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
84        let runtime_plugins = crate::operation::update_training_job::UpdateTrainingJob::operation_runtime_plugins(
85            self.handle.runtime_plugins.clone(),
86            &self.handle.conf,
87            self.config_override,
88        );
89        crate::operation::update_training_job::UpdateTrainingJob::orchestrate(&runtime_plugins, input).await
90    }
91
92    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
93    pub fn customize(
94        self,
95    ) -> crate::client::customize::CustomizableOperation<
96        crate::operation::update_training_job::UpdateTrainingJobOutput,
97        crate::operation::update_training_job::UpdateTrainingJobError,
98        Self,
99    > {
100        crate::client::customize::CustomizableOperation::new(self)
101    }
102    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
103        self.set_config_override(::std::option::Option::Some(config_override.into()));
104        self
105    }
106
107    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
108        self.config_override = config_override;
109        self
110    }
111    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
112    pub fn training_job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
113        self.inner = self.inner.training_job_name(input.into());
114        self
115    }
116    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
117    pub fn set_training_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
118        self.inner = self.inner.set_training_job_name(input);
119        self
120    }
121    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
122    pub fn get_training_job_name(&self) -> &::std::option::Option<::std::string::String> {
123        self.inner.get_training_job_name()
124    }
125    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
126    pub fn profiler_config(mut self, input: crate::types::ProfilerConfigForUpdate) -> Self {
127        self.inner = self.inner.profiler_config(input);
128        self
129    }
130    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
131    pub fn set_profiler_config(mut self, input: ::std::option::Option<crate::types::ProfilerConfigForUpdate>) -> Self {
132        self.inner = self.inner.set_profiler_config(input);
133        self
134    }
135    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
136    pub fn get_profiler_config(&self) -> &::std::option::Option<crate::types::ProfilerConfigForUpdate> {
137        self.inner.get_profiler_config()
138    }
139    ///
140    /// Appends an item to `ProfilerRuleConfigurations`.
141    ///
142    /// To override the contents of this collection use [`set_profiler_rule_configurations`](Self::set_profiler_rule_configurations).
143    ///
144    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
145    pub fn profiler_rule_configurations(mut self, input: crate::types::ProfilerRuleConfiguration) -> Self {
146        self.inner = self.inner.profiler_rule_configurations(input);
147        self
148    }
149    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
150    pub fn set_profiler_rule_configurations(
151        mut self,
152        input: ::std::option::Option<::std::vec::Vec<crate::types::ProfilerRuleConfiguration>>,
153    ) -> Self {
154        self.inner = self.inner.set_profiler_rule_configurations(input);
155        self
156    }
157    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
158    pub fn get_profiler_rule_configurations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ProfilerRuleConfiguration>> {
159        self.inner.get_profiler_rule_configurations()
160    }
161    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
162    pub fn resource_config(mut self, input: crate::types::ResourceConfigForUpdate) -> Self {
163        self.inner = self.inner.resource_config(input);
164        self
165    }
166    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
167    pub fn set_resource_config(mut self, input: ::std::option::Option<crate::types::ResourceConfigForUpdate>) -> Self {
168        self.inner = self.inner.set_resource_config(input);
169        self
170    }
171    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
172    pub fn get_resource_config(&self) -> &::std::option::Option<crate::types::ResourceConfigForUpdate> {
173        self.inner.get_resource_config()
174    }
175    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
176    pub fn remote_debug_config(mut self, input: crate::types::RemoteDebugConfigForUpdate) -> Self {
177        self.inner = self.inner.remote_debug_config(input);
178        self
179    }
180    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
181    pub fn set_remote_debug_config(mut self, input: ::std::option::Option<crate::types::RemoteDebugConfigForUpdate>) -> Self {
182        self.inner = self.inner.set_remote_debug_config(input);
183        self
184    }
185    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
186    pub fn get_remote_debug_config(&self) -> &::std::option::Option<crate::types::RemoteDebugConfigForUpdate> {
187        self.inner.get_remote_debug_config()
188    }
189}
aws_sdk_sagemaker/operation/update_training_job/builders.rs

aws_sdk_sagemaker/operation/update_training_job/
builders.rs
