#[non_exhaustive]
pub struct ProfilerConfigForUpdate { pub s3_output_path: Option<String>, pub profiling_interval_in_milliseconds: Option<i64>, pub profiling_parameters: Option<HashMap<String, String>>, pub disable_profiler: bool, }
Expand description

Configuration information for updating the Debugger profile parameters, system and framework metrics configurations, and storage paths.

Fields (Non-exhaustive)

This struct is marked as 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.

disable_profiler: bool

To disable Debugger monitoring and profiling, set to True.

Implementations

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

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.

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.

To disable Debugger monitoring and profiling, set to True.

Creates a new builder-style object to manufacture ProfilerConfigForUpdate

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