68 lines
2.2 KiB
Python
68 lines
2.2 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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from abc import abstractmethod
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from typing import Any, Sequence
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from torch.utils.data import DataLoader
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from pytorch_lightning.loops.base import Loop
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from pytorch_lightning.trainer.progress import DataLoaderProgress
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class DataLoaderLoop(Loop):
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"""Base class to loop over all dataloaders."""
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def __init__(self) -> None:
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super().__init__()
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self.dataloader_progress = DataLoaderProgress()
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@property
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@abstractmethod
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def dataloaders(self) -> Sequence[DataLoader]:
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"""Returns the dataloaders to loop over."""
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@property
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def current_dataloader_idx(self) -> int:
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"""Returns the index of the current dataloader."""
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return self.dataloader_progress.current.ready - 1
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@property
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def current_dataloader(self) -> DataLoader:
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"""Returns the current dataloader."""
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return self.dataloaders[self.current_dataloader_idx]
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@property
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def num_dataloaders(self) -> int:
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"""Returns the number of dataloaders present."""
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return len(self.dataloaders) if self.dataloaders is not None else 0
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@property
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def done(self) -> bool:
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"""Returns whether all dataloaders have been processed."""
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return self.dataloader_progress.current.completed >= self.num_dataloaders
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def reset(self) -> None:
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"""Resets the internal state."""
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if not self.restarting:
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self.dataloader_progress.reset_on_run()
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else:
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self.dataloader_progress.reset_on_restart()
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def on_advance_start(self, *args: Any, **kwargs: Any) -> None:
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self.dataloader_progress.increment_ready()
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def on_advance_end(self) -> None:
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self.dataloader_progress.increment_completed()
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