code: def _remove_bias_handles(module: nn.Module) -> None:
      if hasattr(module, "_forward_hooks"):
          bias_hooks: List[int] = []
          for key, hook in module._forward_hooks.items():
              if isinstance(hook, BiasHook):
                  bias_hooks.append(key)
  
          for key in bias_hooks:
              del module._forward_hooks[key]
  
imports: from typing import cast, List, Optional, Callable, Tuple
  import torch
  from torch import nn, Tensor
  from torch.nn.utils import parametrize
  from torch.nn.utils.parametrize import ParametrizationList
  from .parametrization import FakeStructuredSparsity, BiasHook
label_desc: Use image node_id 1 for calling a global function with example usage: _remove_bias_handles(module) without return types