lightning/pytorch_lightning/trainer/model_hooks.py

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import inspect
from abc import ABC, abstractmethod
from pytorch_lightning.core.lightning import LightningModule
class TrainerModelHooksMixin(ABC):
def is_function_implemented(self, f_name):
model = self.get_model()
f_op = getattr(model, f_name, None)
return callable(f_op)
def is_overriden(self, method_name: str, model: LightningModule = None) -> bool:
Clean up dataloader logic (#926) * added get dataloaders directly using a getter * deleted decorator * added prepare_data hook * refactored dataloader init * refactored dataloader init * added dataloader reset flag and main loop * added dataloader reset flag and main loop * added dataloader reset flag and main loop * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixes #909 * fixes #909 * bug fix * Fixes #902
2020-02-25 03:23:25 +00:00
if model is None:
model = self.get_model()
super_object = LightningModule
if not hasattr(model, method_name):
# in case of calling deprecated method
return False
# when code pointers are different, it was overriden
is_overriden = getattr(model, method_name).__code__ is not getattr(super_object, method_name).__code__
return is_overriden
def has_arg(self, f_name, arg_name):
model = self.get_model()
f_op = getattr(model, f_name, None)
return arg_name in inspect.signature(f_op).parameters
@abstractmethod
def get_model(self):
"""Warning: this is just empty shell for code implemented in other class."""