158 lines
6.9 KiB
Python
158 lines
6.9 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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r"""
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Lambda Callback
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^^^^^^^^^^^^^^^
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Create a simple callback on the fly using lambda functions.
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"""
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from typing import Callable, Optional
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from pytorch_lightning.callbacks.base import Callback
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class LambdaCallback(Callback):
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r"""
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Create a simple callback on the fly using lambda functions.
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Args:
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**kwargs: hooks supported by :class:`~pytorch_lightning.callbacks.base.Callback`
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Example::
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>>> from pytorch_lightning import Trainer
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>>> from pytorch_lightning.callbacks import LambdaCallback
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>>> trainer = Trainer(callbacks=[LambdaCallback(setup=lambda *args: print('setup'))])
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"""
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def __init__(
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self,
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on_before_accelerator_backend_setup: Optional[Callable] = None,
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setup: Optional[Callable] = None,
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teardown: Optional[Callable] = None,
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on_init_start: Optional[Callable] = None,
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on_init_end: Optional[Callable] = None,
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on_fit_start: Optional[Callable] = None,
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on_fit_end: Optional[Callable] = None,
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on_sanity_check_start: Optional[Callable] = None,
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on_sanity_check_end: Optional[Callable] = None,
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on_train_batch_start: Optional[Callable] = None,
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on_train_batch_end: Optional[Callable] = None,
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on_train_epoch_start: Optional[Callable] = None,
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on_train_epoch_end: Optional[Callable] = None,
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on_validation_epoch_start: Optional[Callable] = None,
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on_validation_epoch_end: Optional[Callable] = None,
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on_test_epoch_start: Optional[Callable] = None,
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on_test_epoch_end: Optional[Callable] = None,
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on_epoch_start: Optional[Callable] = None,
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on_epoch_end: Optional[Callable] = None,
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on_batch_start: Optional[Callable] = None,
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on_validation_batch_start: Optional[Callable] = None,
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on_validation_batch_end: Optional[Callable] = None,
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on_test_batch_start: Optional[Callable] = None,
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on_test_batch_end: Optional[Callable] = None,
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on_batch_end: Optional[Callable] = None,
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on_train_start: Optional[Callable] = None,
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on_train_end: Optional[Callable] = None,
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on_pretrain_routine_start: Optional[Callable] = None,
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on_pretrain_routine_end: Optional[Callable] = None,
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on_validation_start: Optional[Callable] = None,
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on_validation_end: Optional[Callable] = None,
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on_test_start: Optional[Callable] = None,
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on_test_end: Optional[Callable] = None,
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on_keyboard_interrupt: Optional[Callable] = None,
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on_save_checkpoint: Optional[Callable] = None,
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on_load_checkpoint: Optional[Callable] = None,
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on_after_backward: Optional[Callable] = None,
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on_before_zero_grad: Optional[Callable] = None,
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):
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if on_before_accelerator_backend_setup is not None:
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self.on_before_accelerator_backend_setup = on_before_accelerator_backend_setup
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if setup is not None:
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self.setup = setup
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if teardown is not None:
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self.teardown = teardown
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if on_init_start is not None:
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self.on_init_start = on_init_start
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if on_init_end is not None:
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self.on_init_end = on_init_end
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if on_fit_start is not None:
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self.on_fit_start = on_fit_start
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if on_fit_end is not None:
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self.on_fit_end = on_fit_end
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if on_sanity_check_start is not None:
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self.on_sanity_check_start = on_sanity_check_start
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if on_sanity_check_end is not None:
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self.on_sanity_check_end = on_sanity_check_end
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if on_train_batch_start is not None:
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self.on_train_batch_start = on_train_batch_start
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if on_train_batch_end is not None:
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self.on_train_batch_end = on_train_batch_end
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if on_train_epoch_start is not None:
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self.on_train_epoch_start = on_train_epoch_start
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if on_train_epoch_end is not None:
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self.on_train_epoch_end = on_train_epoch_end
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if on_validation_epoch_start is not None:
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self.on_validation_epoch_start = on_validation_epoch_start
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if on_validation_epoch_end is not None:
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self.on_validation_epoch_end = on_validation_epoch_end
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if on_test_epoch_start is not None:
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self.on_test_epoch_start = on_test_epoch_start
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if on_test_epoch_end is not None:
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self.on_test_epoch_end = on_test_epoch_end
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if on_epoch_start is not None:
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self.on_epoch_start = on_epoch_start
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if on_epoch_end is not None:
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self.on_epoch_end = on_epoch_end
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if on_batch_start is not None:
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self.on_batch_start = on_batch_start
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if on_validation_batch_start is not None:
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self.on_validation_batch_start = on_validation_batch_start
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if on_validation_batch_end is not None:
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self.on_validation_batch_end = on_validation_batch_end
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if on_test_batch_start is not None:
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self.on_test_batch_start = on_test_batch_start
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if on_test_batch_end is not None:
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self.on_test_batch_end = on_test_batch_end
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if on_batch_end is not None:
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self.on_batch_end = on_batch_end
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if on_train_start is not None:
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self.on_train_start = on_train_start
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if on_train_end is not None:
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self.on_train_end = on_train_end
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if on_pretrain_routine_start is not None:
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self.on_pretrain_routine_start = on_pretrain_routine_start
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if on_pretrain_routine_end is not None:
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self.on_pretrain_routine_end = on_pretrain_routine_end
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if on_validation_start is not None:
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self.on_validation_start = on_validation_start
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if on_validation_end is not None:
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self.on_validation_end = on_validation_end
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if on_test_start is not None:
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self.on_test_start = on_test_start
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if on_test_end is not None:
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self.on_test_end = on_test_end
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if on_keyboard_interrupt is not None:
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self.on_keyboard_interrupt = on_keyboard_interrupt
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if on_save_checkpoint is not None:
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self.on_save_checkpoint = on_save_checkpoint
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if on_load_checkpoint is not None:
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self.on_load_checkpoint = on_load_checkpoint
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if on_after_backward is not None:
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self.on_after_backward = on_after_backward
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if on_before_zero_grad is not None:
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self.on_before_zero_grad = on_before_zero_grad
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