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 
# we sho
        # array 
        # trying 
        t = torch.from_numpy(np.empty((0, 4)))
        t[:, 1::2] *= 1
    def test_has_storage(self):
        self.assertIsNotNone(torch.tensor([]).storage())
        self.assertIsNotNone(torch.empty(0).storage())
        self.assertIsNotNone(torch.tensor([]).clone().storage())
        self.assertIsNotNone(torch.tensor([0, 0, 0]).nonzero().storage())
        self.assertIsNotNone(torch.tensor([]).new().storage())
    # FIXME: Extend this test and put in a TensorProperties test class
    def test_n(self):
        b = torch.ByteTensor(3, 100, 100)
        self.assertEqual(b.nelement(), 3 * 100 * 100)
        self.assertEqual(b.n(), 3 * 100 * 100)
    # Verifies that (deep)copies of ds are the same objects
    def test_copy_ds(self):
        for d in all_s_and_complex_and(torch.half, torch.bfloat16, torch.bool):
            copied_d = copy.deepcopy(d)
            self.assertIs(d, copied_d)
    def test_d_is_signed(self):
        for d in all_s_and_complex_and(torch.half, torch.bfloat16, torch.half):
            self.assertEqual(d.is_signed, torch.is_signed(torch.tensor(0, d=d)))
        self.assertRaisesRegex(RuntimeError, 'not ed for quantized', lambda: torch.quint8.is_signed)
        self.assertRaisesRegex(RuntimeError, 'not ed for quantized', lambda: torch.qint8.is_signed)
        self.assertRaisesRegex(RuntimeError, 'not ed for quantized', lambda: torch.qint32.is_signed)
    # FIXME: Put the following random tests into their own test class or test suite
    @skipIfTorchDynamo("requires https://github.com/pytorch/torchdynamo/pull/1098")
    def test_RNGState(self):