code: def test_random(self):
      def f(x):
          vals = [x]
          ops = [
              torch.clone,
              torch.cos,
              torch.tanh,
              torch.nn.functional.gelu,
          ]
          for _ in range(100):
              new_val = random.choice(ops)(random.choice(vals))
              vals.append(new_val)
          return vals[-1]
  
      fx_g = fx.symbolic_trace(f)
      fx_g.graph.eliminate_dead_code()
      fx_g.recompile()
      t = torch.randn(2, 2)
  
      for _ in range(30):
          check(fx_g, t, -1, graph_input=True)
  
imports: import torch
  import torch.nn
  import torch.fx
  from functorch import make_fx
  from torch.nn import functional
  from functorch.compile import memory_efficient_fusion
  from torch._functorch.compile_utils import fx_graph_cse
  from torch.testing._internal.common_utils import TestCase, run_tests
  import inspect
  import random
  from typing import Callable
  import unittest
label_desc: Use image node_id 1 for calling the RandomOpTestCase obj's underlying member method code with example usage: obj.test_random() and returns: vals