code: def dynamo_error_fn(a):
      output = a.mul(torch.ones(1000, 1000))
      output = output.add(torch.ones(10, 10))
      return output
  
imports: import atexit
  import contextlib
  import functools
  import logging
  import os
  import re
  import unittest.mock
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  import torch.distributed
  from torch._dynamo.testing import skipIfNotPy311
  from torch.nn.parallel import DistributedDataParallel
  from torch.testing._internal.common_utils import find_free_port, munge_exc
  from torch.testing._internal.inductor_utils import HAS_CUDA
  from torch.testing._internal.logging_utils import LoggingTestCase, make_logging_test, make_settings_test
label_desc: Use image node_id 2 for calling a global function with example usage: dynamo_error_fn(a) and returns: output