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