Struct aws_sdk_sagemaker::model::ProfilerConfig

#[non_exhaustive]
pub struct ProfilerConfig {
    pub s3_output_path: Option<String>,
    pub profiling_interval_in_milliseconds: Option<i64>,
    pub profiling_parameters: Option<HashMap<String, String>>,
}

Configuration information for Debugger system monitoring, framework profiling, and storage paths.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

s3_output_path: Option<String>

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

profiling_interval_in_milliseconds: Option<i64>

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.

profiling_parameters: Option<HashMap<String, String>>

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.

Implementations

impl ProfilerConfig

pub fn s3_output_path(&self) -> Option<&str>

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

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

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) -> Option<&HashMap<String, String>>

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.

impl ProfilerConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture ProfilerConfig

Trait Implementations

impl Clone for ProfilerConfig

fn clone(&self) -> ProfilerConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ProfilerConfig

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

Formats the value using the given formatter.

impl PartialEq<ProfilerConfig> for ProfilerConfig

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

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

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

This method tests for !=.

impl StructuralPartialEq for ProfilerConfig