code: def testAddCustomized(self):
      np.random.seed(3)  # Fix seed to avoid flakiness
      with self.cached_session():
          # a test case for Add operation
          size = (2, 3)
          x1 = constant_op.constant(
              2.0, shape=size, dtype=dtypes.float64, name="x1"
          )
          x2 = constant_op.constant(
              3.0, shape=size, dtype=dtypes.float64, name="x2"
          )
          y = math_ops.add(x1, x2, name="y")
  
          # checkint gradients for x2 using a special init_value and delta
          x_init_value = np.asarray(
              np.arange(6, dtype=np.float64).reshape(2, 3)
          )
          error = gradient_checker.compute_gradient_error(
              x2, size, y, size, x_init_value=x_init_value, delta=1e-2
          )
      tf_logging.info("x2 error = %f", error)
      self.assertLess(error, 1e-10)
  
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 3 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testAddCustomized() without return types