56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
# 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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import contextlib
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from abc import ABC, abstractmethod
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from typing import Any, Callable, Generator, Optional, overload, Sequence, Tuple
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import torch
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from torch.nn import Module
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class Plugin(ABC):
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"""Basic Plugin class to derive precision and training type plugins from."""
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@abstractmethod
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def connect(
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self,
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model: Module,
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*args: Sequence,
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**kwargs: Sequence,
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) -> Optional[Tuple[Module, Sequence, Sequence]]:
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"""Connects the plugin with the accelerator (and thereby with trainer and model).
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Will be called by the accelerator.
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"""
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def pre_training(self) -> None:
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"""Hook to do something before the training starts."""
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def post_training(self) -> None:
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"""Hook to do something after the training finishes."""
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@contextlib.contextmanager
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def train_step_context(self) -> Generator:
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"""A contextmanager for the trainstep"""
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yield
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@contextlib.contextmanager
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def val_step_context(self) -> Generator:
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"""A contextmanager for the validation step"""
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yield
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@contextlib.contextmanager
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def test_step_context(self) -> Generator:
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"""A contextmanager for the teststep"""
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yield
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