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--------
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.
.. currentmodule:: sagemaker.debugger
.. autoclass:: get_rule_container_image_uri
:show-inheritance:
.. autoclass:: get_default_profiler_rule
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.. class:: sagemaker.debugger.rule_configs
A helper module to configure the SageMaker Debugger built-in rules with
the :class:`~sagemaker.debugger.Rule` classmethods and
and the :class:`~sagemaker.debugger.ProfilerRule` classmethods.
For a full list of built-in rules, see
`List of Debugger Built-in Rules
<https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-built-in-rules.html>`_.
This module is imported from the Debugger client library for rule configuration.
For more information, see
`Amazon SageMaker Debugger RulesConfig
<https://github.com/awslabs/sagemaker-debugger-rulesconfig>`_.
.. autoclass:: RuleBase
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.. autoclass:: Rule
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:inherited-members:
.. autoclass:: ProfilerRule
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:inherited-members:
.. autoclass:: CollectionConfig
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.. autoclass:: DebuggerHookConfig
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.. autoclass:: TensorBoardOutputConfig
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.. autoclass:: ProfilerConfig
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.. autoclass:: FrameworkProfile
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.. autoclass:: DetailedProfilingConfig
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.. autoclass:: DataloaderProfilingConfig
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.. autoclass:: PythonProfilingConfig
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.. autoclass:: PythonProfiler
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.. autoclass:: cProfileTimer
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.. automodule:: sagemaker.debugger.metrics_config
:members: StepRange, TimeRange
:undoc-members:
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