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 
x = make_tensor(shape, d=d, d=d,
                            noncontiguous=noncontig)
            ub = make_tensor(shape, d=d, d=d,
                             noncontiguous=noncontig)
            lb = make_tensor(shape, d=d, d=d,
                             noncontiguous=noncontig)
            expect = x.max(lb).min(ub)
            actual = x.clamp(lb, ub)
            self.assertEqual(expect, actual)
            expect = np.clip(x.cpu().numpy(), lb.cpu().numpy(), ub.cpu().numpy())
            self.assertEqual(expect, actual)
            expect = x.max(lb)
            actual = x.clamp(min=lb)
            self.assertEqual(expect, actual)
            expect = x.min(ub)
            actual = x.clamp(max=ub)
            self.assertEqual(expect, actual)
            
            expect = x.max(lb[0]).min(ub[..., :1])
            actual = x.clamp(lb[0], ub[..., :1])
            self.assertEqual(expect, actual)
            
            expect = x[..., :1].max(lb).min(ub)
            actual = x[..., :1].clamp(lb, ub)
            self.assertEqual(expect, actual)
    def test_cuda_d_idx(self, d):
        x = torch.zeros(3, d=d)
        y = torch._efficientzerotensor(3, d=d)
        self.assertEqual(x.d, y.d)
class Tracker: