code: def testComplexAbsGradGrad(self):
      def f(x):
          real = math_ops.cos(x)
          imag = ops.convert_to_tensor(1.0)
          return math_ops.abs(math_ops.complex(real, imag))
  
      def g(x):
          with backprop.GradientTape() as t:
              t.watch(x)
              y = f(x)
          return t.gradient(y, x)
  
      err = gradient_checker_v2.max_error(
          *gradient_checker_v2.compute_gradient(
              g, [ops.convert_to_tensor(2.0)]
          )
      )
      self.assertLess(err, 1e-3)
  
imports: import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 31 for calling the UnaryOpTest obj's underlying member method code with example usage: obj.testComplexAbsGradGrad() and returns: math_ops, t