lightning/pytorch_lightning/utilities/model_helpers.py

44 lines
1.9 KiB
Python

# 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.
from typing import Union
from pytorch_lightning.core.datamodule import LightningDataModule
from pytorch_lightning.core.lightning import LightningModule
def is_overridden(method_name: str, model: Union[LightningModule, LightningDataModule]) -> bool:
# if you pass DataModule instead of None or a LightningModule, we use LightningDataModule as super
# TODO - refector this function to accept model_name, instance, parent so it makes more sense
super_object = LightningModule if not isinstance(model, LightningDataModule) else LightningDataModule
if not hasattr(model, method_name) or not hasattr(super_object, method_name):
# in case of calling deprecated method
return False
instance_attr = getattr(model, method_name)
if not instance_attr:
return False
super_attr = getattr(super_object, method_name)
# when code pointers are different, it was implemented
if hasattr(instance_attr, 'patch_loader_code'):
# cannot pickle __code__ so cannot verify if PatchDataloader
# exists which shows dataloader methods have been overwritten.
# so, we hack it by using the string representation
is_overridden = instance_attr.patch_loader_code != str(super_attr.__code__)
else:
is_overridden = instance_attr.__code__ is not super_attr.__code__
return is_overridden