| Debugger |
| -------- |
|
|
| 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. |
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| .. currentmodule:: sagemaker.debugger |
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| .. autoclass:: get_rule_container_image_uri |
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| .. autoclass:: get_default_profiler_rule |
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| .. class:: sagemaker.debugger.rule_configs |
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| 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. |
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| 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>`_. |
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| 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>`_. |
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| .. autoclass:: RuleBase |
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| .. autoclass:: Rule |
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| :inherited-members: |
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| .. autoclass:: ProfilerRule |
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| :inherited-members: |
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| .. 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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