code: def test_random(self):
      @torch.jit.script
      def f(mean, std):
          return torch.normal(mean, std)
  
      mean, std = torch.zeros(5, 5), torch.ones(5, 5)
      with torch.random.fork_rng(devices=[]):
          output = torch.normal(mean, std)
      with torch.random.fork_rng(devices=[]):
          script_output = f(mean, std)
      self.assertEqual(output, script_output)
  
imports: import os
  import sys
  import tempfile
  import random
  from textwrap import dedent
  import torch
  from torch.testing._internal.jit_utils import JitTestCase, execWrapper
label_desc: Use image node_id 8 for calling the TestPythonBuiltinOP obj's underlying member method code with example usage: obj.test_random() and returns: torch