Source code for pytorch_lightning.profilers.base

# Copyright The PyTorch Lightning team.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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"""Profiler to check if there are any bottlenecks in your code."""
from abc import ABC, abstractmethod
from typing import Any

from pytorch_lightning.profilers.profiler import Profiler
from pytorch_lightning.utilities.rank_zero import rank_zero_deprecation


class AbstractProfiler(ABC):
    """Specification of a profiler.

    See deprecation warning below

    .. deprecated:: v1.6
        `AbstractProfiler` was deprecated in v1.6 and will be removed in v1.8.
        Please use `Profiler` instead.
    """

    @abstractmethod
    def start(self, action_name: str) -> None:
        """Defines how to start recording an action."""

    @abstractmethod
    def stop(self, action_name: str) -> None:
        """Defines how to record the duration once an action is complete."""

    @abstractmethod
    def summary(self) -> str:
        """Create profiler summary in text format."""

    @abstractmethod
    def setup(self, **kwargs: Any) -> None:
        """Execute arbitrary pre-profiling set-up steps as defined by subclass."""

    @abstractmethod
    def teardown(self, **kwargs: Any) -> None:
        """Execute arbitrary post-profiling tear-down steps as defined by subclass."""


class BaseProfiler(Profiler):
    """
    .. deprecated:: v1.6
        `BaseProfiler` was deprecated in v1.6 and will be removed in v1.8.
        Please use `Profiler` instead.
    """

    def __init__(self, *args, **kwargs):
        rank_zero_deprecation(
            "`BaseProfiler` was deprecated in v1.6 and will be removed in v1.8. Please use `Profiler` instead."
        )
        super().__init__(*args, **kwargs)


[docs]class PassThroughProfiler(Profiler):
    """This class should be used when you don't want the (small) overhead of profiling.

    The Trainer uses this class by default.
    """

[docs]    def start(self, action_name: str) -> None:
        pass

[docs]    def stop(self, action_name: str) -> None:
        pass