code: def forward_pass(self, mod, inputs, collect_outputs=True):
      with self.autocast(**self.autocast_arg):
          return mod(*inputs)
  
imports: import gc
  import importlib
  import logging
  import os
  import re
  import sys
  import warnings
  from os.path import abspath, exists
  import torch
  from torch._dynamo.testing import collect_results, reduce_to_scalar_loss
  from torch._dynamo.utils import clone_inputs
label_desc: Use image node_id 21 for calling the TorchBenchmarkRunner obj's underlying member method code with example usage: obj.forward_pass(mod, inputs, collect_outputs) and returns: mod