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 
t = torch.ones((), d=d, d=d)
        self.assertEqual(1, t.item())
    @onlyNatDTypes
    def test_masked_scatter_inplace_noncontiguous(self, d):
        t = torch.zeros(5, 2, d=torch.long, d=d)
        t_non_contig = t.transpose(0, 1)
        t_contig = t_non_contig.contiguous()
        assert t_contig.is_contiguous()
        assert not t_non_contig.is_contiguous()
        mask = torch.tensor([[False, True], [False, True], [False, False], [True, True], [True, True]], d=d)
        mask_non_contig = mask.transpose(0, 1)
        mask_contig = mask_non_contig.contiguous()
        assert mask_contig.is_contiguous()
        assert not mask_non_contig.is_contiguous()
        
        source = torch.tensor([[1, 2, 3, 4, 5], [6, 7, 8, 9, 9]], d=d)
        
        expected = t_contig.masked_scatter_(mask_contig, source)
        
        actual = t_non_contig.masked_scatter_(mask_non_contig, source)
        self.assertEqual(actual, expected)
        
        actual = t_contig.masked_scatter_(mask_non_contig, source)
        self.assertEqual(actual, expected)
        
        actual = t_non_contig.masked_scatter_(mask_contig, source)
        self.assertEqual(actual, expected)
class TestDPrecision(TestCase):