code: def register_optimizer_step_pre_hook(
      hook: GlobalOptimizerPreHook,
  ) -> RemovableHandle:
      r"""Register a pre hook common to all optimizers. The hook should have the following
      signature::
  
          hook(optimizer, args, kwargs) -> None or modified args and kwargs
  
      Args:
          hook (Callable): A user defined hook which is registered on all optimizers.
  
      Returns:
          :class:`torch.utils.hooks.RemovableHandle`:
              a handle that can be used to remove the added hook by calling
              ``handle.remove()``
      """
      handle = hooks.RemovableHandle(_global_optimizer_pre_hooks)
      _global_optimizer_pre_hooks[handle.id] = hook
      return handle
  
imports: import math
  import functools
  import warnings
  from collections import OrderedDict, defaultdict
  from copy import deepcopy
  from itertools import chain
  from typing import Any, Callable, DefaultDict, Dict, Hashable, Iterable, List, Optional, Set, Tuple, TypeVar, Union, cast, overload
  from typing_extensions import ParamSpec, Self, TypeAlias
  import torch
  import torch.utils.hooks
  from torch.utils.hooks import RemovableHandle
  from torch.utils._foreach_utils import Indices, TensorListList, _get_foreach_kernels_supported_devices, _get_fused_kernels_supported_devices
  from torch._utils import is_compiling
  from torch.utils._foreach_utils import _group_tensors_by_device_and_dtype
label_desc: Use image node_id 8 for calling a global function with example usage: register_optimizer_step_pre_hook(hook) and returns: handle