code: def _copy_param(new: nn.Module, old: nn.Module, name: str) -> None:
      dst = getattr(new, name)
      src = getattr(old, name)
      if (
          dst is None
          or src is None
          or not isinstance(dst, Tensor)
          or not isinstance(src, Tensor)
      ):
          return
      dst.data = src.data.to(dst.device)
  
imports: import inspect
  import logging
  from copy import deepcopy
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
  import torch.nn.utils.prune
  from lightning_utilities.core.apply_func import apply_to_collection
  from torch import Tensor, nn
  from typing_extensions import TypedDict, override
  import lightning.pytorch
  from lightning.pytorch.callbacks.callback import Callback
  from lightning.pytorch.core.module import LightningModule
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.rank_zero import rank_zero_debug, rank_zero_only
label_desc: Use image node_id 6 for calling the ModelPruning obj's underlying member method code with example usage: obj._copy_param(new, old, name) without return types