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 
self.test_sobolengine_continuing(scramble=True)
    def test_sobolengine_reset(self, scramble: bool = False):
        ref_sample = self._sobol_reference_samples(scramble=scramble)
        engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456)
        _ = engine.draw(n=len(ref_sample) // 2)
        engine.reset()
        self.assertEqual(engine.num_generated, 0)
        sample = engine.draw(n=len(ref_sample))
        torch.testing.assert_close(sample, ref_sample)
    def test_sobolengine_reset_scrambled(self):
        self.test_sobolengine_reset(scramble=True)
    def test_sobolengine_fast_forward(self, scramble: bool = False):
        ref_sample = self._sobol_reference_samples(scramble=scramble)
        engine = torch.quasirandom.SobolEngine(2, scramble=scramble, seed=123456)
        engine.fast_forward(4)
        sample = engine.draw(n=4)
        torch.testing.assert_close(sample, ref_sample[4:])
        
        engine.reset()
        even_draws = []
        for i in range(8):
            if i % 2 == 0:
                even_draws.append(engine.draw())
            else:
                engine.fast_forward(1)
        torch.testing.assert_close(
            ref_sample[[i for i in range(8) if i % 2 == 0]],
            torch.from_numpy(np.concatenate(even_draws)),
        )
    def test_sobolengine_fast_forward_scrambled(self):