code: def test_split(self):
      v1 = Variable.constant(torch.randn(10), name="a")
      v2 = Variable.constant(torch.randn(10), name="b")
      cnt = CompileCounter()
  
      def forward(a, b):
          return simple(a, b).sum()
  
      reset_tape()
      loss1 = forward(v1, v2)
      grad1 = grad(loss1, [v1, v2])
  
      reset_tape()
      opt_forward = torch._dynamo.optimize_assert(cnt)(forward)
      opt_grad = torch._dynamo.optimize_assert(cnt)(grad)
      loss2 = opt_forward(v1, v2)
      # force two frames
      grad2 = opt_grad(loss2, [v1, v2])
  
      self.assertTrue(same(loss1, loss2))
      self.assertTrue(same(grad1, grad2))
      self.assertEqual(cnt.frame_count, 2)
      self.assertEqual(cnt.op_count, 8)
  
imports: from typing import Callable, Dict, List, NamedTuple, Optional
  import torch
  import torch._dynamo
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.testing import CompileCounter, same
label_desc: Use image node_id 6 for calling the TestPythonAutograd obj's underlying member method code with example usage: obj.test_split() and returns: simple