chore: remove unnecessary child method
(it does the same thing than the parent).
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@@ -179,16 +179,12 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
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path,
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)
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def load(self, path: Path):
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checkpoint = torch.load(path)
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return self.load_from_checkpoint(checkpoint)
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def load_from_checkpoint(self, checkpoint: dict):
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"""
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when using continual_learning, DataDrawer will load the dictionary
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(containing state dicts and model_meta_data) by calling torch.load(path).
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you can access this dict from any class that inherits IFreqaiModel by calling
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get_init_model method.
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the get_init_model method.
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"""
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self.model.load_state_dict(checkpoint["model_state_dict"])
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self.optimizer.load_state_dict(checkpoint["optimizer_state_dict"])
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