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 
height = 2
        width = 2
        index = torch.zeros(height, width, d=torch.long, d=d)
        test_data = [
            (torch.ones(height, width, d=d, d=d),
             torch.ones(height, width, d=d, d=d),
             torch.tensor([[3], [1]], d=d, d=d).repeat(1, width), "add"),
            (torch.tensor([2], d=d, d=d).repeat(height, width),
             torch.tensor([2], d=d, d=d).repeat(height, width),
             torch.tensor([[8], [2]], d=d,
                          d=d).repeat(1, width), "multiply"),
        ]
        for input, src, result, operation in test_data:
            if not self.scatter_allow_reduce(d, d, operation):
                continue
            input.scatter_(0, index, src, reduce=operation)
            self.assertEqual(input, result, msg=f"result: {result} input: {input} method: {str(operation)}")
    @onlyCUDA
    @ds(*complex_s())
    def test_scatter_reduce_multiply_uned_ds(self, d, d):