2021-06-04 15:38:29 +00:00
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# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Profiler to check if there are any bottlenecks in your code."""
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from abc import ABC, abstractmethod
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from typing import Any
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from pytorch_lightning.profiler.profiler import Profiler
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2022-02-25 15:26:20 +00:00
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from pytorch_lightning.utilities.rank_zero import rank_zero_deprecation
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class AbstractProfiler(ABC):
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"""Specification of a profiler.
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See deprecation warning below
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.. deprecated:: v1.6
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`AbstractProfiler` was deprecated in v1.6 and will be removed in v1.8.
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Please use `Profiler` instead.
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"""
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@abstractmethod
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def start(self, action_name: str) -> None:
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"""Defines how to start recording an action."""
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@abstractmethod
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def stop(self, action_name: str) -> None:
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"""Defines how to record the duration once an action is complete."""
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@abstractmethod
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def summary(self) -> str:
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"""Create profiler summary in text format."""
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@abstractmethod
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def setup(self, **kwargs: Any) -> None:
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"""Execute arbitrary pre-profiling set-up steps as defined by subclass."""
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@abstractmethod
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def teardown(self, **kwargs: Any) -> None:
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"""Execute arbitrary post-profiling tear-down steps as defined by subclass."""
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class BaseProfiler(Profiler):
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"""
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.. deprecated:: v1.6
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`BaseProfiler` was deprecated in v1.6 and will be removed in v1.8.
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Please use `Profiler` instead.
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"""
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def __init__(self, *args, **kwargs):
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rank_zero_deprecation(
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"`BaseProfiler` was deprecated in v1.6 and will be removed in v1.8. Please use `Profiler` instead."
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)
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super().__init__(*args, **kwargs)
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class PassThroughProfiler(Profiler):
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"""This class should be used when you don't want the (small) overhead of profiling.
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The Trainer uses this class by default.
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"""
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def start(self, action_name: str) -> None:
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pass
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def stop(self, action_name: str) -> None:
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pass
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