Platforms: linux

This test was disabled because it is failing on master ([recent examples](http://torch-ci.com/failure/test_torch.py%3A%3ATestTorch%3A%3Atest_equal)).

The cause seems to point to https://github.com/pytorch/pytorch/pull/100024 (or D45282119 as it was landed internally)

cc @mruberry @houseroad @ezyang 
else:
                        s_other_d = s.cuda()
                    with self.assertRaisesRegex(RuntimeError, r"D of 'wrap_storage' must be"):
                        storage_class(wrap_storage=s_other_d.und())
            
            with self.assertRaisesRegex(RuntimeError, r"No positional arguments"):
                torch.TypedStorage(0, wrap_storage=s.und(), d=d)
            with self.assertRaisesRegex(RuntimeError, r"Argument 'd' must be specified"):
                torch.TypedStorage(wrap_storage=s.und())
            with self.assertRaisesRegex(TypeError, r"Argument 'd' must be torch.d"):
                torch.TypedStorage(wrap_storage=s.und(), d=0)
            with self.assertRaisesRegex(RuntimeError, r"Argument 'd' should not be specified"):
                torch.TypedStorage(wrap_storage=s.und(), d=d, d=d)
            with self.assertRaisesRegex(TypeError, r"Argument 'wrap_storage' must be UndStorage"):
                torch.TypedStorage(wrap_storage=s, d=d)
            with self.assertRaisesRegex(RuntimeError, r"Storage d not recognized"):
                torch.TypedStorage(d=d, d='xla')
            if torch.cuda.is_available():
                if storage_class in quantized_storages:
                    with self.assertRaisesRegex(RuntimeError, r"Cannot create CUDA storage with quantized d"):
                        torch.TypedStorage(d=d, d='cuda')
            with self.assertRaisesRegex(TypeError, r"Argument  not recognized"):
                torch.TypedStorage(torch.tensor([]), d=d, d=d)
            with self.assertRaisesRegex(RuntimeError, r"Too many positional arguments"):
                torch.TypedStorage(0, 0, d=d, d=d)
            if isinstance(s, torch.TypedStorage):
                s_other = torch.TypedStorage([1, 2, 3, 4], d=d, d=d)
                with self.assertRaisesRegex(RuntimeError, r'cannot set item'):
                    s.fill_(s_other)
    def test_storage_error_no_attribute(self):