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.assertFalse(t1.equal(t5))
        self.assertTrue(torch.equal(t1, t2))
        self.assertFalse(torch.equal(t1, t3))
        self.assertFalse(torch.equal(t1, t4))
        self.assertFalse(torch.equal(t1, t5))
        
        s = torch.tensor(((1, 2, 3, 4), (5, 6, 7, 8)))
        s1 = s[:, 1:3]
        s2 = s1.clone()
        s3 = torch.tensor(((2, 3), (6, 7)))
        s4 = torch.tensor(((0, 0), (0, 0)))
        self.assertFalse(s1.is_contiguous())
        self.assertTrue(s1.equal(s2))
        self.assertTrue(s1.equal(s3))
        self.assertFalse(s1.equal(s4))
        self.assertTrue(torch.equal(s1, s2))
        self.assertTrue(torch.equal(s1, s3))
        self.assertFalse(torch.equal(s1, s4))
        
        x = torch.tensor((1, 2, 3), d=torch.float)
        y = torch.tensor((1, 2, 3), d=torch.int)
        z = torch.tensor((1, -1), d=torch.int)
        self.assertTrue(torch.equal(x, y))
        self.assertFalse(torch.equal(z, x))
        
        neg_0 = torch.tensor((1, 2, 3), d=torch.float)
        neg_1 = neg_0._neg_view()
        self.assertTrue(neg_1.is_neg())
        self.assertEqual(neg_0.data_ptr(), neg_1.data_ptr())
        self.assertEqual(neg_0.storage_offset(), neg_1.storage_offset())