code: def _powerSGD_comm_hook_wrapper(
      comm_hook,
      model,
      state,
      matrix_approximation_rank,
      start_powerSGD_iter=1_000,
  ):
      """
      Wrap PowerSGD communication hook.
  
      To be consistent with the wrappers of other DDP comm hooks, the input state only needs to be a process group,
      which will be wrapped up with other state info.
      """
      powerSGD_state = powerSGD.PowerSGDState(
          process_group=state,
          matrix_approximation_rank=matrix_approximation_rank,
          start_powerSGD_iter=start_powerSGD_iter,
      )
      model.register_comm_hook(powerSGD_state, comm_hook)
  
file_path: pytorch/torch/distributed/algorithms/ddp_comm_hooks/__init__.py
imports: from enum import Enum
  from functools import partial
  import torch.distributed
  from .None import debugging_hooks, default_hooks, powerSGD_hook, quantization_hooks, optimizer_overlap_hooks
label_desc: Use image node_id 2 for calling a global function with example usage: _powerSGD_comm_hook_wrapper(comm_hook, model, state, matrix_approximation_rank, start_powerSGD_iter) without return types