Struct aws_sdk_sagemaker::model::profiler_config_for_update::Builder

pub struct Builder { /* private fields */ }

A builder for ProfilerConfigForUpdate.

Implementations

impl Builder

pub fn s3_output_path(self, input: impl Into<String>) -> Self

Path to Amazon S3 storage location for system and framework metrics.

pub fn set_s3_output_path(self, input: Option<String>) -> Self

Path to Amazon S3 storage location for system and framework metrics.

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

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

pub fn set_profiling_interval_in_milliseconds(self, input: Option<i64>) -> Self

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

pub fn profiling_parameters(
    self,
    k: impl Into<String>,
    v: impl Into<String>
) -> Self

Adds a key-value pair to profiling_parameters.

To override the contents of this collection use set_profiling_parameters.

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

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

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

pub fn disable_profiler(self, input: bool) -> Self

To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.

pub fn set_disable_profiler(self, input: Option<bool>) -> Self

To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.

pub fn build(self) -> ProfilerConfigForUpdate

Consumes the builder and constructs a ProfilerConfigForUpdate.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Builder