docstr: Evaluate computation and communication execution period of the region in forward pass.
docstr_tok: ["Evaluate","computation","and","communication","execution","period","of","the","region","in","forward","pass","."]
code: def _eval_fwd_cost_per_region(self, region: Region):
      """
      Evaluate computation and communication execution period of the region in forward pass.
      """
  
      # upload parameters of the first region
      if region.r_id == 0:
          self._insert_h2d_exec(region)
  
      # prefetch parameters of the next region
      fwd_prefetch_region = region.fwd_prefetch_region
      if fwd_prefetch_region and requires_upload_p_in_fwd(
          self.region_list[fwd_prefetch_region.shared_rid]
      ):
          self._insert_h2d_exec(fwd_prefetch_region)
  
      # execute computation
      self._insert_comp_exec(region)
  
imports: import bisect
  from abc import ABC, abstractmethod
  from collections import OrderedDict
  from typing import Dict, List
  from torch.fx.node import Node
  from .region import Region
  from .util import *
label_desc: Use image node_id 6 for calling the AsynTrainingSimulator obj's underlying member method code with example usage: obj._eval_fwd_cost_per_region(region) without return types