code: def _pre_all_gather(self, params, params_buffers=None):
      # fetches from nvme if the partition is not available and in nvme
      self._ensure_availability_of_partitioned_params(params)
  
      for param in params:
          if param.ds_status != ZeroParamStatus.NOT_AVAILABLE:
              raise RuntimeError(param.ds_summary())
          param.ds_status = ZeroParamStatus.INFLIGHT
  
      # ensure that each rank has params in same order. the allgather
      # is done by flattening the parameter list into a single tensor that
      # can be allgathered in a single call - this means that if each rank
      # gives a list of the same parameters in a different order we will
      # silently get incorrect parameter values, and have very difficult
      # to debug correctness issues.
      params = sorted(params, key=lambda p: p.ds_id)
      return params, params_buffers
  
imports: import sys
  from typing import List
  import deepspeed
  import torch
  from deepspeed import comm
  from deepspeed.runtime.zero.mics_utils import MiCS_CommGroups, create_mics_comm_groups, scale_tensors
  from deepspeed.runtime.zero.parameter_offload import DeepSpeedZeRoOffload, is_zero_param
  from deepspeed.runtime.zero.partition_parameters import Init, AllGatherCoalescedHandle, ZeroParamStatus
  from deepspeed.runtime.zero.stage3 import DeepSpeedZeroOptimizer_Stage3
  from deepspeed.utils import instrument_w_nvtx, log_dist
  from deepspeed.accelerator import get_accelerator
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 3 for calling the MiCS_Init obj's underlying member method code with example usage: obj._pre_all_gather(params, params_buffers) and returns: params,  params_buffers