code: def testComplexConj(self):
      with self.cached_session():
          size = ()
          x = constant_op.constant(11 - 13j, dtype=dtypes.complex64)
          y = math_ops.conj(x)
          analytical, numerical = gradient_checker.compute_gradient(
              x, size, y, size
          )
          correct = np.array([[1, 0], [0, -1]])
          self.assertAllEqual(correct, analytical)
          self.assertAllClose(correct, numerical, rtol=2e-5)
          self.assertLess(
              gradient_checker.compute_gradient_error(x, size, y, size),
              2e-5,
          )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 7 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testComplexConj() without return types