code: def test_pow(self):
      def func(a, b):
          return a**b
  
      def func2(a, b, c, d):
          return c + a**b**d
  
      def func3(a, b):
          # type: (int, float) -> float
          return a**b
  
      def func4():
          # type: () -> float
          return 2**-2
  
      def func5(x, y):
          return x.item() ** y.item()
  
      a = torch.rand(1, requires_grad=True)
      b = torch.rand(1, requires_grad=True)
      c = torch.rand(1, requires_grad=True)
      d = torch.rand(1, requires_grad=True)
      self.checkScript(func, (a, b), optimize=True)
      self.checkScript(func2, (a, b, c, d), optimize=True)
      self.checkScript(func3, (4, -0.5), optimize=True)
      self.checkScript(func4, ())
  
      inputs = [
          torch.tensor(2),
          torch.tensor(-2),
          torch.tensor(0.5),
          torch.tensor(0.2),
      ]
      for x in inputs:
          for y in inputs:
              if x < 0:
                  continue
              else:
                  self.checkScript(func5, (x, y))
  
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 4 for calling the TestPythonBuiltinOP obj's underlying member method code with example usage: obj.test_pow() and returns: unknown, unknown, unknown, unknown, unknown