code: def test_if_loop_mix(self):
      def test_fn(x, y, z: bool, a: bool):
          c = x
          while a:
              if z:
                  c = x + 3
              else:
                  c = y * 2
              a = False
          return c
  
      self.assert_device_equal(
          test_fn, [self.cpu, self.cpu, None, None], self.cpu
      )
      self.assert_device_equal(
          test_fn, [self.mkldnn, self.mkldnn, None, None], self.mkldnn
      )
      self.assert_device_equal(
          test_fn, [self.cpu, self.cuda, None, None], None
      )
  
imports: from itertools import product
  import unittest
  import torch
  from torch.testing._internal.common_utils import TEST_CUDA
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.jit._passes._property_propagation import apply_input_props_using_example
label_desc: Use image node_id 21 for calling the TestDeviceAnalysis obj's underlying member method code with example usage: obj.test_if_loop_mix() and returns: c