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 
dt = d
        num_copy, num_dest = 3, 10
        dest = torch.tensor([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], d=dt, d=d)
        dest2 = dest.clone()
        dest_ones = dest.clone()
        dest_ones_expected = dest.clone()
        src = torch.tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], d=dt, d=d)
        src_ones = torch.tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], d=dt, d=d)
        mask = torch.tensor((0, 0, 0, 0, 1, 0, 1, 0, 1, 0), d=torch.bool, d=d)
        dest.masked_scatter_(mask, src)
        j = 0
        for i in range(num_dest):
            if mask[i]:
                dest2[i] = src[j]
                dest_ones_expected[i] = src_ones[j]
                j += 1
        self.assertEqual(dest, dest2, atol=0, rtol=0)
        dest_ones.masked_scatter_(mask, src_ones)
        self.assertEqual(dest_ones, dest_ones_expected, atol=0, rtol=0)