Skip to content

ProfilerConfigForUpdate

Source code in docs_src/capo_sagemaker/types/profiler_config_for_update.py
class ProfilerConfigForUpdate(TypedDict, closed=True):
    s3_output_path: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>Path to Amazon S3 storage location for system and framework metrics.</p>"""
    profiling_interval_in_milliseconds: NotRequired[
        "capo_sagemaker.types.profiling_interval_in_milliseconds.ProfilingIntervalInMilliseconds"
    ]
    """<p>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.</p>"""
    profiling_parameters: NotRequired[
        "capo_sagemaker.types.profiling_parameters.ProfilingParameters"
    ]
    """<p>Configuration information for capturing framework metrics. Available key strings for different profiling options are <code>DetailedProfilingConfig</code>, <code>PythonProfilingConfig</code>, and <code>DataLoaderProfilingConfig</code>. The following codes are configuration structures for the <code>ProfilingParameters</code> parameter. To learn more about how to configure the <code>ProfilingParameters</code> parameter, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-createtrainingjob-api.html">Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job</a>. </p>"""
    disable_profiler: NotRequired[
        "capo_sagemaker.types.disable_profiler.DisableProfiler"
    ]
    """<p>To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to <code>True</code>.</p>"""

disable_profiler instance-attribute

disable_profiler: NotRequired[DisableProfiler]

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

profiling_interval_in_milliseconds instance-attribute

profiling_interval_in_milliseconds: NotRequired[ProfilingIntervalInMilliseconds]

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 instance-attribute

profiling_parameters: NotRequired[ProfilingParameters]

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.

s3_output_path instance-attribute

s3_output_path: NotRequired[S3Uri]

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