lightning/pytorch_lightning/profiler/base.py

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# Copyright The PyTorch Lightning team.
#
# 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
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Profiler to check if there are any bottlenecks in your code."""
from abc import ABC, abstractmethod
from typing import Any
from pytorch_lightning.profiler.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)
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.
"""
def start(self, action_name: str) -> None:
pass
def stop(self, action_name: str) -> None:
pass