/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include Configuration information for Amazon SageMaker Debugger system monitoring,
* framework profiling, and storage paths.See Also:
AWS
* API Reference
Path to Amazon S3 storage location for system and framework metrics.
*/ inline const Aws::String& GetS3OutputPath() const{ return m_s3OutputPath; } /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline bool S3OutputPathHasBeenSet() const { return m_s3OutputPathHasBeenSet; } /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline void SetS3OutputPath(const Aws::String& value) { m_s3OutputPathHasBeenSet = true; m_s3OutputPath = value; } /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline void SetS3OutputPath(Aws::String&& value) { m_s3OutputPathHasBeenSet = true; m_s3OutputPath = std::move(value); } /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline void SetS3OutputPath(const char* value) { m_s3OutputPathHasBeenSet = true; m_s3OutputPath.assign(value); } /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline ProfilerConfig& WithS3OutputPath(const Aws::String& value) { SetS3OutputPath(value); return *this;} /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline ProfilerConfig& WithS3OutputPath(Aws::String&& value) { SetS3OutputPath(std::move(value)); return *this;} /** *Path to Amazon S3 storage location for system and framework metrics.
*/ inline ProfilerConfig& WithS3OutputPath(const char* value) { SetS3OutputPath(value); return *this;} /** *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.
*/ inline long long GetProfilingIntervalInMilliseconds() const{ return m_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.
*/ inline bool ProfilingIntervalInMillisecondsHasBeenSet() const { return m_profilingIntervalInMillisecondsHasBeenSet; } /** *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.
*/ inline void SetProfilingIntervalInMilliseconds(long long value) { m_profilingIntervalInMillisecondsHasBeenSet = true; m_profilingIntervalInMilliseconds = value; } /** *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.
*/ inline ProfilerConfig& WithProfilingIntervalInMilliseconds(long long value) { SetProfilingIntervalInMilliseconds(value); return *this;} /** *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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Configuration to turn off Amazon SageMaker Debugger's system monitoring and
* profiling functionality. To turn it off, set to True
.
Configuration to turn off Amazon SageMaker Debugger's system monitoring and
* profiling functionality. To turn it off, set to True
.
Configuration to turn off Amazon SageMaker Debugger's system monitoring and
* profiling functionality. To turn it off, set to True
.
Configuration to turn off Amazon SageMaker Debugger's system monitoring and
* profiling functionality. To turn it off, set to True
.