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 
r"The size of tensor a \(120\) must match the size of "
                    r"tensor b \(5\) at non-singleton dimension 3"):
                self.assertEqual(torch.normal(tensor120, tensor2345).size(), (120,))
            with self.assertRaisesRegex(
                    RuntimeError,
                    r"The size of tensor a \(5\) must match the size of "
                    r"tensor b \(120\) at non-singleton dimension 3"):
                self.assertEqual(torch.normal(tensor2345, tensor120).size(), (2, 3, 4, 5))
            # inputs 
            with self.assertRaisesRegex(
                    RuntimeError,
                    r"The size of tensor a \(5\) must match the size of "
                    r"tensor b \(4\) at non-singleton dimension 3"):
                torch.normal(tensor2345, tensor4)
            # output 
            self.assertEqual(torch.normal(tensor2345, tensor2345, out=output2345).size(), (2, 3, 4, 5))
            # output 
            with self.assertWarnsRegex(
                    UserWarning,
                    "This behavior is deprecated, and in a future PyTorch "
                    "release outputs will not be resized unless they have "
                    "zero elements"):
                self.assertEqual(torch.normal(tensor2345, tensor2145, out=output345).size(), (2, 3, 4, 5))
            with self.assertRaisesRegex(
                    RuntimeError,
                    r"The size of tensor a \(5\) must match the size of "
                    r"tensor b \(120\) at non-singleton dimension 3"):
                # inputs 
                torch.normal(tensor2345, tensor120, out=output345)
    def test_tensoriterator_output_setup(self):