code: def prune_conv2d(conv2d: nn.Conv2d) -> None:
      mask = _prune_conv2d_helper(conv2d)
      if getattr(conv2d, "prune_bias", False):
          _prune_module_bias(conv2d, mask)
  
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 11 for calling a global function with example usage: prune_conv2d(conv2d) without return types