code: def create_module_forward_multiple_inputs():
      # Use to test module level hooks with forward having multiple
      # inputs and returns
      m = ModuleForwardMultipleInputs(
          "outer_mod_name", "inner_mod_name"
      )
  
      def pre_hook(
          self, input: Tuple[List[str], str]
      ) -> Tuple[List[str], str]:
          assert self.name == "outer_mod_name"
          assert input[0][0] == "a"
          return ["pre_hook_override_name"], "pre_hook_override"
  
      def forward_hook(
          self,
          input: Tuple[List[str], str],
          output: Tuple[List[str], str],
      ):
          assert self.name == "outer_mod_name"
          assert input[0][0] == "pre_hook_override_name"
          output2 = output[1] + "fh"
          return output[0], output2
  
      m.register_forward_pre_hook(pre_hook)
      m.register_forward_hook(forward_hook)
  
      return m
  
imports: import torch
  from typing import List, Tuple
label_desc: Use image node_id 3 for calling a global function with example usage: create_module_forward_multiple_inputs() and returns: m, list,  str, output,  output2