code: def test_copy_unintialized_parameter():
      weight = UninitializedParameter()
      if torch_geometric.typing.WITH_PT113:
          copy.deepcopy(weight)
      else:  # PyTorch <= 1.12
          with pytest.raises(Exception):
              copy.deepcopy(weight)
  
imports: import copy
  import warnings
  from typing import List
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear
  from torch.nn.parameter import UninitializedParameter
  import torch_geometric.backend
  from torch_geometric.nn import HeteroDictLinear, HeteroLinear, Linear
  from torch_geometric.profile import benchmark
  from torch_geometric.testing import withCUDA, withPackage
  from torch_geometric.typing import pyg_lib
  from torch_geometric.utils import cumsum
label_desc: Use image node_id 5 for calling a global function with example usage: test_copy_unintialized_parameter() without return types