code: def _run(data, module, patch_fn):
      try:
          if isinstance(data, dict):
              output = patch_fn(module, **data)
          if isinstance(data, tuple) or isinstance(data, list):
              output = patch_fn(module, *data)
          else:
              output = patch_fn(module, data)
          return output
      except Exception as e:
          return e
  
file_path: ColossalAI/tests/test_fx/test_tracer/test_patched_module.py
imports: import torch
  from colossalai.fx.tracer.meta_patch import patched_module
  from colossalai.testing import clear_cache_before_run
label_desc: Use image node_id 1 for calling a global function with example usage: _run(data, module, patch_fn) and returns: output, e