message: remove copy ut
diff: @@ -1956,31 +1956,5 @@ class TestSave(TestCase):
  torch.save(output_dpcpp, 'tensor_dpcpp.pt')
  self.assertEqual(torch.load('tensor.pt'), torch.load('tensor_dpcpp.pt'))
  -class TestCopy_(TestCase):
  - def test_copy_(self):
  - rand_seed = int(get_rand_seed())
  - print("{} rand sed: {}".format(sys._getframe().f_code.co_name, rand_seed))
  - torch.manual_seed(rand_seed)
  - self_auto_mix = torch.randn(3, 4, 5, dtype=torch.float32, device=device) * 10
  - self_man_mix = (torch.randn(3, 4, 5, device=device) * 10).to(torch.bfloat16)
  - src_auto_mix = torch.randn(3, 4, 5, dtype=torch.float32, device=device) * 10
  - copy_src_auto_mix = copy.deepcopy(src_auto_mix).to(device=device)
  - copy_src_man_mix = copy.deepcopy(src_auto_mix).to(device=device).to(torch.bfloat16)
  -
  - with AutoDNNL(True), AutoMixPrecision(False):
  - res_man_bf16 = copy_src_man_mix + copy_src_man_mix
  - self.assertEqual(res_man_bf16.dtype, torch.bfloat16)
  - self_man_mix.copy_(res_man_bf16)
  - self.assertEqual(self_man_mix.dtype, torch.bfloat16)
  -
  - with AutoMixPrecision(True):
  - res_auto_mix = copy_src_auto_mix + copy_src_auto_mix
  - self.assertEqual(res_auto_mix.dtype, torch.float)
  - self.assertTrue(ipex.core.is_bf16_dil_tensor(res_auto_mix))
  - self_auto_mix.copy_(res_auto_mix)
  - self.assertTrue(ipex.core.is_bf16_dil_tensor(self_auto_mix))
  - self.assertEqual(self_auto_mix.dtype, torch.float)
  - self.assertEqual(self_auto_mix, self_man_mix.float())
  -
  if __name__ == '__main__':
  test = unittest.main()
  