code: def is_uninitialized_parameter(x: Any) -> bool:
      if not hasattr(torch.nn.parameter, "UninitializedParameter"):
          return False
      return isinstance(x, torch.nn.parameter.UninitializedParameter)
  
imports: import copy
  import math
  from typing import Any, Dict, Optional, Union
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.nn.parameter import Parameter
  import torch_geometric.backend
  import torch_geometric.typing
  from torch_geometric import is_compiling
  from torch_geometric.nn import inits
  from torch_geometric.typing import pyg_lib
  from torch_geometric.utils import index_sort, scatter
  from torch_geometric.utils.sparse import index2ptr
label_desc: Use image node_id 1 for calling a global function with example usage: is_uninitialized_parameter(x) and returns: isinstance, False