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(neg_0.stride(), neg_1.stride())
        self.assertEqual(neg_0.size(), neg_1.size())
        self.assertFalse(torch.equal(neg_0, neg_1))
        self.assertTrue(torch.equal(neg_0, neg_1._neg_view()))
        conj_0 = torch.tensor([1.0 + 2.0j, 2.0 + 1.0j])
        conj_1 = conj_0.conj()
        self.assertTrue(conj_1.is_conj())
        self.assertEqual(conj_0.data_ptr(), conj_1.data_ptr())
        self.assertEqual(conj_0.storage_offset(), conj_1.storage_offset())
        self.assertEqual(conj_0.stride(), conj_1.stride())
        self.assertEqual(conj_0.size(), conj_1.size())
        self.assertFalse(torch.equal(conj_0, conj_1))
        self.assertTrue(torch.equal(conj_0, conj_1.conj()))
        
        s_0 = torch.rand((2, 3), d=torch.float)
        s_1 = s_0.view(d=torch.int32)
        self.assertEqual(s_0.data_ptr(), s_1.data_ptr())
        self.assertEqual(s_0.storage_offset(), s_1.storage_offset())
        self.assertEqual(s_0.stride(), s_1.stride())
        self.assertEqual(s_0.size(), s_1.size())
        self.assertFalse(torch.equal(s_0, s_1))
        
        t_0 = torch.rand((2, 3), d=torch.float)
        t_1 = t_0.t()
        self.assertEqual(t_0.data_ptr(), t_1.data_ptr())
        self.assertEqual(t_0.storage_offset(), t_1.storage_offset())
        self.assertNotEqual(t_0.stride(), t_1.stride())
        self.assertNotEqual(t_0.size(), t_1.size())
        self.assertFalse(torch.equal(t_0, t_1))
    def test_element_size(self):