code: def _find_equivalent_efficient_module(
      module_input: nn.Module,
      efficient_block_transmuter_list: List,
      module_name: str = "",
  ):
      """
      Given module_input, search through efficient_block_registry to see whether the
      module_input can be replaced with equivalent efficientBlock. Returns None if no
      equivalent efficientBlock is found, else returns an instance of equivalent
      efficientBlock.
      Args:
          module_input (nn.Module): module to be replaced by equivalent efficientBlock
          efficient_block_transmuter_list (list): a transmuter list that contains transmuter
              functions for available efficientBlocks
          module_name (str): name of module_input in original model
      """
      eq_module_hit_list = []
      for iter_func in efficient_block_transmuter_list:
          eq_module = iter_func(module_input)
          if eq_module is not None:
              eq_module_hit_list.append(eq_module)
      if len(eq_module_hit_list) > 0:
          # Check for multiple matches.
          if len(eq_module_hit_list) > 1:
              logging.warning(f"{module_name} has multiple matches:")
              for iter_match in eq_module_hit_list:
                  logging.warning(
                      f"{iter_match.__class__.__name__} is a match."
                  )
              logging.warning(
                  f"Will use {eq_module_hit_list[0]} as it has highest priority."
              )
          return eq_module_hit_list[0]
      return None
  
imports: import logging
  from typing import List
  import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: _find_equivalent_efficient_module(module_input, efficient_block_transmuter_list, module_name) and returns: None, eq_module_hit_list