51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import inspect
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from abc import ABC, abstractmethod
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from pytorch_lightning.core.datamodule import LightningDataModule
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from pytorch_lightning.core.lightning import LightningModule
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class TrainerModelHooksMixin(ABC):
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def is_function_implemented(self, f_name, model=None):
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if model is None:
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model = self.get_model()
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f_op = getattr(model, f_name, None)
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return callable(f_op)
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def is_overridden(self, method_name: str, model: LightningModule = None) -> bool:
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if model is None:
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model = self.get_model()
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# if you pass DataModule instead of None or a LightningModule, we use LightningDataModule as super
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# TODO - refector this function to accept model_name, instance, parent so it makes more sense
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super_object = LightningModule if not isinstance(model, LightningDataModule) else LightningDataModule
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# assert model, 'no model passes'
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if not hasattr(model, method_name):
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# in case of calling deprecated method
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return False
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instance_attr = getattr(model, method_name)
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if not instance_attr:
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return False
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super_attr = getattr(super_object, method_name)
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# when code pointers are different, it was implemented
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if hasattr(instance_attr, 'patch_loader_code'):
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# cannot pickle __code__ so cannot verify if PatchDataloader
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# exists which shows dataloader methods have been overwritten.
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# so, we hack it by using the string representation
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is_overridden = instance_attr.patch_loader_code != str(super_attr.__code__)
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else:
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is_overridden = instance_attr.__code__ is not super_attr.__code__
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return is_overridden
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def has_arg(self, f_name, arg_name):
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model = self.get_model()
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f_op = getattr(model, f_name, None)
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return arg_name in inspect.signature(f_op).parameters
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@abstractmethod
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def get_model(self) -> LightningModule:
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"""Warning: this is just empty shell for code implemented in other class."""
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