Amazon SageMaker Debugger provides full visibility into training jobs of state-of-the-art machine learning models. This SageMaker Debugger module provides high-level methods to set up Debugger configurations to monitor, profile, and debug your training job. Configure the Debugger-specific parameters when constructing a SageMaker estimator to gain visibility and insights into your training job.
sagemaker.debugger
get_rule_container_image_uri
get_default_profiler_rule
A helper module to configure the SageMaker Debugger built-in rules with the ~sagemaker.debugger.Rule classmethods and and the ~sagemaker.debugger.ProfilerRule classmethods.
For a full list of built-in rules, see List of Debugger Built-in Rules.
This module is imported from the Debugger client library for rule configuration. For more information, see Amazon SageMaker Debugger RulesConfig.
RuleBase
Rule
ProfilerRule
CollectionConfig
DebuggerHookConfig
TensorBoardOutputConfig
ProfilerConfig
FrameworkProfile
DetailedProfilingConfig
DataloaderProfilingConfig
PythonProfilingConfig
PythonProfiler
cProfileTimer
sagemaker.debugger.metrics_config