Profiler¶

class lightning.pytorch.profilers.Profiler(dirpath=None, filename=None)[source]¶

If you wish to write a custom profiler, you should inherit from this class.

Logs a profile report after the conclusion of run.

profile(action_name)[source]¶

Yields a context manager to encapsulate the scope of a profiled action.

Example:

with self.profile('load training data'):
    # load training data code

The profiler will start once you’ve entered the context and will automatically stop once you exit the code block.

setup(stage, local_rank=None, log_dir=None)[source]¶

Execute arbitrary pre-profiling set-up steps.

abstract start(action_name)[source]¶

Defines how to start recording an action.

abstract stop(action_name)[source]¶

Defines how to record the duration once an action is complete.

teardown(stage)[source]¶

Execute arbitrary post-profiling tear-down steps.

Closes the currently open file and stream.