code: def test_float_is_integer(self, device):
      def fn(x, mul, dim=-1):
          size = x.size(dim)
          m = size / mul
          if m.is_integer():
              return m
          return size
  
      a = torch.randn((3, 6, 4, 2), device=device)
      cfn = self.compile_fn(fn)
  
      expect = fn(a, 2)
      actual = cfn(a, 2)
      self.assertEqual(expect, actual)
  
imports: import contextlib
  import importlib
  import math
  import os
  import sys
  import unittest
  from functools import partial
  import torch
  import torch._custom_ops
  import torch.library
  from torch._dynamo.testing import make_test_cls_with_patches
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, onlyCUDA
  from torch.testing._internal.common_utils import IS_CI, IS_WINDOWS, parametrize, TEST_WITH_ASAN, TEST_WITH_ROCM, TestCase
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
  from inductor.test_torchinductor import check_model, check_model_cuda, CommonTemplate, copy_tests, TestFailure
label_desc: Use image node_id 24 for calling the TestInductorDynamic obj's underlying member method code with example usage: obj.test_float_is_integer(device) and returns: size, m