code: def remove_hook_from_module(module: nn.Module, recurse=False):
      """
      Removes any hook attached to a module via `add_hook_to_module`.
  
      Args:
          module (`torch.nn.Module`): The module to attach a hook to.
          recurse (`bool`, **optional**): Whether to remove the hooks recursively
  
      Returns:
          `torch.nn.Module`: The same module, with the hook detached (the module is modified in place, so the result can
          be discarded).
      """
  
      if hasattr(module, "_hf_hook"):
          module._hf_hook.detach_hook(module)
          delattr(module, "_hf_hook")
  
      if hasattr(module, "_old_forward"):
          module.forward = module._old_forward
          delattr(module, "_old_forward")
  
      if recurse:
          for child in module.children():
              remove_hook_from_module(child, recurse)
  
      return module
  
imports: import functools
  from typing import Dict, List, Mapping, Optional, Union
  import torch
  import torch.nn
  from .state import PartialState
  from .utils import PrefixedDataset, find_device, named_module_tensors, send_to_device, set_module_tensor_to_device
  from .utils.modeling import get_non_persistent_buffers
label_desc: Use image node_id 2 for calling a global function with example usage: remove_hook_from_module(module, recurse) and returns: module