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.assertIsInstance(torch.e, float)
        self.assertEqual(torch.e, math.e, atol=0, rtol=0)
        self.assertIsInstance(torch.pi, float)
        self.assertEqual(torch.pi, math.pi, atol=0, rtol=0)
        self.assertIsInstance(torch.nan, float)
        self.assertEqual(torch.nan, math.nan, equal_nan=True)
        self.assertIsInstance(torch.inf, float)
        self.assertEqual(torch.inf, math.inf)
    @onlyNatDTypes
    @ds(torch.int8, torch.uint8, torch.int16, torch.int32, torch.int64,
            torch.bool, torch.float32, torch.complex64, torch.float64,
            torch.complex128)
    def test_bytes_to_scalar(self, d, d):
        def rand_byte():
            if d == torch.bool:
                return torch.randint(0, 2, ()).item()
            else:
                return torch.randint(0, 256, ()).item()
        element_size = torch._utils._element_size(d)
        for i in range(10):
            bytes_list = [rand_byte() for _ in range(element_size)]
            scalar = bytes_to_scalar(bytes_list, d, d)
            self.assertEqual(scalar.storage().und().tolist(), bytes_list)
    @ds(torch.int8, torch.uint8, torch.int16, torch.int32, torch.int64,
            torch.bool, torch.float32, torch.complex64, torch.float64,
            torch.complex128)
    def test_storage(self, d, d):