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 
self.assertEqual(getter(a), getter(a.to('cpu')))
            self.assertEqual(getter(a), getter(a.to(d=a.d, d=a.d, copy=False)))
            self.assertEqual(getter(a), getter(a.to('cpu', copy=False)))
            self.assertNotEqual(getter(a), getter(a.to('cpu', copy=True)))
        if layout == torch.sparse_csr:
            # TODO: 
            # Exerci
            with self.assertRaisesRegex(RuntimeError, "Cannot access data pointer of Tensor that doesn't have storage"):
                a.data_ptr()
            # While 
            # the un
            # the ca
            test_data_ptr(lambda a: a.values().data_ptr())
            test_data_ptr(lambda a: a.crow_indices().data_ptr())
            test_data_ptr(lambda a: a.col_indices().data_ptr())
        else:
            test_data_ptr(lambda a: a.data_ptr())
        if torch.cuda.is_available():
            for non_blocking in [True, False]:
                for cuda in ['cuda', 'cuda:0' if torch.cuda.d_count() == 1 else 'cuda:1']:
                    b = torch.tensor(5., d=cuda)