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 check(t, correction=1, fweights=None, aweights=None):
            res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights)
            t = t.cpu().numpy()
            fweights = fweights.cpu().numpy() if fweights is not None else None
            aweights = aweights.cpu().numpy() if aweights is not None else None
            ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights)
            self.assertEqual(res, ref, atol=1e-05, rtol=1e-05, exact_d=False)
        for x in self._generate_correlation_tensors(d, d):
            check(x)
            num_observations = x.n() if x.ndim < 2 else x.size(1)
            if num_observations > 0:
                fweights = torch.randint(1, 10, (num_observations,), d=d)
                aweights = make_tensor((num_observations,), d=torch.float, d=d, low=1)
                for correction, fw, aw in product([0, 1, 2], [None, fweights], [None, aweights]):
                    check(x, correction, fweights, aweights)
    @skipIfNoSciPy
    @ds(*floating_s_and(torch.half, torch.bfloat16))
    def test_uniform_kstest(self, d, d):
        from scipy import stats
        size = 1000
        for from_ in [-42, 0, 4.2]:
            for to_ in [-4.2, 0, 42]:
                if to_ > from_:
                    t = torch.empty(size, d=d, d=d).uniform_(from_, to_)
                    res = stats.kstest(t.cpu().to(torch.double), 'uniform', args=(from_, (to_ - from_)))
                    self.assertTrue(res.statistic < 0.1)
    @skipIfNoSciPy
    @ds(*floating_s_and(torch.half))
    @dsIfCUDA(*floating_s_and(torch.half, torch.bfloat16))
    def test_normal_kstest(self, d, d):