Sam Khoze
106 lines
4.1 KiB
Python
106 lines
4.1 KiB
Python
class TrainerCallback:
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@staticmethod
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def on_init_start(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_init_start"):
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trainer.model.module.on_init_start(trainer)
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else:
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if hasattr(trainer.model, "on_init_start"):
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trainer.model.on_init_start(trainer)
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if hasattr(trainer.criterion, "on_init_start"):
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trainer.criterion.on_init_start(trainer)
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if hasattr(trainer.optimizer, "on_init_start"):
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trainer.optimizer.on_init_start(trainer)
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@staticmethod
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def on_init_end(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_init_end"):
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trainer.model.module.on_init_end(trainer)
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else:
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if hasattr(trainer.model, "on_init_end"):
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trainer.model.on_init_end(trainer)
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if hasattr(trainer.criterion, "on_init_end"):
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trainer.criterion.on_init_end(trainer)
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if hasattr(trainer.optimizer, "on_init_end"):
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trainer.optimizer.on_init_end(trainer)
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@staticmethod
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def on_epoch_start(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_epoch_start"):
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trainer.model.module.on_epoch_start(trainer)
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else:
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if hasattr(trainer.model, "on_epoch_start"):
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trainer.model.on_epoch_start(trainer)
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if hasattr(trainer.criterion, "on_epoch_start"):
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trainer.criterion.on_epoch_start(trainer)
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if hasattr(trainer.optimizer, "on_epoch_start"):
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trainer.optimizer.on_epoch_start(trainer)
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@staticmethod
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def on_epoch_end(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_epoch_end"):
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trainer.model.module.on_epoch_end(trainer)
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else:
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if hasattr(trainer.model, "on_epoch_end"):
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trainer.model.on_epoch_end(trainer)
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if hasattr(trainer.criterion, "on_epoch_end"):
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trainer.criterion.on_epoch_end(trainer)
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if hasattr(trainer.optimizer, "on_epoch_end"):
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trainer.optimizer.on_epoch_end(trainer)
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@staticmethod
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def on_train_step_start(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_train_step_start"):
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trainer.model.module.on_train_step_start(trainer)
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else:
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if hasattr(trainer.model, "on_train_step_start"):
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trainer.model.on_train_step_start(trainer)
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if hasattr(trainer.criterion, "on_train_step_start"):
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trainer.criterion.on_train_step_start(trainer)
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if hasattr(trainer.optimizer, "on_train_step_start"):
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trainer.optimizer.on_train_step_start(trainer)
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@staticmethod
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def on_train_step_end(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_train_step_end"):
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trainer.model.module.on_train_step_end(trainer)
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else:
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if hasattr(trainer.model, "on_train_step_end"):
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trainer.model.on_train_step_end(trainer)
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if hasattr(trainer.criterion, "on_train_step_end"):
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trainer.criterion.on_train_step_end(trainer)
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if hasattr(trainer.optimizer, "on_train_step_end"):
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trainer.optimizer.on_train_step_end(trainer)
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@staticmethod
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def on_keyboard_interrupt(trainer) -> None:
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if hasattr(trainer.model, "module"):
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if hasattr(trainer.model.module, "on_keyboard_interrupt"):
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trainer.model.module.on_keyboard_interrupt(trainer)
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else:
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if hasattr(trainer.model, "on_keyboard_interrupt"):
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trainer.model.on_keyboard_interrupt(trainer)
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if hasattr(trainer.criterion, "on_keyboard_interrupt"):
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trainer.criterion.on_keyboard_interrupt(trainer)
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if hasattr(trainer.optimizer, "on_keyboard_interrupt"):
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trainer.optimizer.on_keyboard_interrupt(trainer)
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