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 
with torch_vital_set('ON'):
            inps = torch.arange(10 * 5, d=torch.float32).view(10, 5)
            tgts = torch.arange(10 * 5, d=torch.float32).view(10, 5)
            dataset = torch.utils.data.TensorDataset(inps, tgts)
            loader = torch.utils.data.DataLoader(dataset, batch_size=2)
            self.assertIn('Dataloader.enabled\t\t True', torch.read_vitals())
class TestVitalSignsCuda(TestCase):
    @onlyCUDA
    def test_cuda_vitals_gpu_only(self, d):
        with torch_vital_set('ON'):
            self.assertIn('CUDA.used\t\t true', torch.read_vitals())
is_cuda_sm86 = torch.cuda.is_available() and torch.cuda.get_d_capability(0) == (8, 6)
class TestTorchDType(TestCase):
    exact_d = True
    
    def _rand_shape(self, dim, min_size, max_size):
        shape = []
        for i in range(dim):
            shape.append(random.randint(min_size, max_size))
        return tuple(shape)
    
    
    @onlyCPU
    def test_constants(self, d):