code: def dtype_from_inputs(example_inputs) -> torch.dtype:
      for x in example_inputs:
          if hasattr(x, "dtype"):
              return x.dtype
  
file_path: pytorch/torch/_dynamo/backends/common.py
imports: import contextlib
  import functools
  import logging
  from unittest.mock import patch
  import torch
  from torch._dynamo import disable
  from torch._dynamo.utils import counters, defake
  from torch._functorch.aot_autograd import aot_module_simplified
  from torch.utils._python_dispatch import _disable_current_modes
label_desc: Use image node_id 5 for calling a global function with example usage: dtype_from_inputs(example_inputs) and returns: x