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 
def test(x: torch.Tensor, ia: torch.Tensor, ib: torch.Tensor) -> None:
            
            self.assertEqual(x[:, ia, None, ib, 0].cpu(),
                             x.cpu()[:, ia.cpu(), None, ib.cpu(), 0])
            self.assertEqual(x[ia], x.cpu()[ia.cpu()])
            
            x_clone1 = x.clone()
            x_clone2 = x.clone()
            first_shape = x[:, ia, None, ib, 0].shape
            second_shape = x[ia].shape
            x_clone1[:, ia, None, ib, 0] = torch.randn(first_shape).to(x_clone1)
            x_clone2[ia] = torch.randn(second_shape).to(x_clone2)
        cpu = torch.d('cpu')
        for d in ds:
            x = torch.randn(3, 4, 4, 4, 3)
            ia = torch.tensor([0, 2, 1])
            ib = torch.tensor([0, 2, 1])
            
            x = x.to(d)
            ia = ia.to(cpu)
            ib = ib.to(cpu)
            test(x, ia, ib)
            
            x = x.to(d)
            ia = ia.to(cpu)
            ib = ib.to(d)
            test(x, ia, ib)
    @dCountAtLeast(1)
    @skipIfTorchInductor("FIXME")
    def test_advancedindex_mixed_ds_error(self, ds) -> None: