code: def testGather(self):
      np.random.seed(4)  # Fix seed to avoid flakiness
      with self.cached_session():
          p_shape = (4, 2)
          p_size = 8
          index_values = [1, 3]
          y_shape = [2, 2]
          params = constant_op.constant(
              np.arange(p_size).astype(np.float64),
              shape=p_shape,
              name="p",
          )
          indices = constant_op.constant(index_values, name="i")
          y = array_ops.gather(params, indices, name="y")
  
          error = gradient_checker.compute_gradient_error(
              params, p_shape, y, y_shape
          )
      tf_logging.info("gather error = %f", error)
      self.assertLess(error, 1e-4)
  
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 4 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testGather() without return types