text: #  Copyright (c) ZenML GmbH 2021. All Rights Reserved.
  #
  #  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.
  
  import os
  from typing import Any, Type, Union
  
  import torch
  from torch.nn import Module  # type: ignore[attr-defined]
  
  from zenml.integrations.pytorch.materializers.pytorch_types import TorchDict
  from zenml.materializers.base_materializer import BaseMaterializer
  
  DEFAULT_FILENAME = "entire_model.pt"
  
  
  class PyTorchMaterializer(BaseMaterializer):
      """Materializer to read/write Pytorch models."""
  
      ASSOCIATED_TYPES = [Module, TorchDict]
  
      def handle_input(self, data_type: Type[Any]) -> Union[Module, TorchDict]:
          """Reads and returns a PyTorch model.
  
          Returns:
              A loaded pytorch model.
          """
          super().handle_input(data_type)
          return torch.load(os.path.join(self.artifact.uri, DEFAULT_FILENAME))  # type: ignore[no-untyped-call] # noqa
  
      def handle_return(self, model: Union[Module, TorchDict]) -> None:
          """Writes a PyTorch model.
  
          Args:
              model: A torch.nn.Module or a dict to pass into model.save
          """
          super().handle_return(model)
          torch.save(model, os.path.join(self.artifact.uri, DEFAULT_FILENAME))
  