code: def test_dynamic_order_dependence(self):
      def fn(a, b):
          return a.sum() + b.sum()
  
      torch._dynamo.reset()
      cnt_dynamic = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnt_dynamic)(fn)
      x = torch.randn(2)
      y = torch.randn(3)
      self.assertEqual(opt_fn(x, y), fn(x, y))
      self.assertEqual(opt_fn(x, x), fn(x, x))
      # NB: This COULD validly be 2, but we don't test disjointness in the
      # guards for when x and y didn't duck size together, so we end up
      # with a generic graph that also works when x and y happen to duck
      # size together.
      self.assertEqual(cnt_dynamic.frame_count, 2)
  
      torch._dynamo.reset()
      cnt_dynamic.frame_count = 0
      self.assertEqual(opt_fn(x, x), fn(x, x))  # this overspecializes!
      self.assertEqual(opt_fn(x, y), fn(x, y))
      self.assertEqual(cnt_dynamic.frame_count, 2)
  
imports: from unittest.mock import patch
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  from torch._dynamo.testing import unsupported
  from torch._dynamo.utils import ifdynstaticdefault
label_desc: Use image node_id 34 for calling the SubGraphTests obj's underlying member method code with example usage: obj.test_dynamic_order_dependence() and returns: unknown