code: def run_test(self, x, y):
      with self.test_session():
          error = gradient_checker.compute_gradient_error(
              x, x.get_shape().as_list(), y, y.get_shape().as_list()
          )
          self.assertLess(error, 1e-3)
  
imports: 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 test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the Conv2dOpTest obj's underlying member method code with example usage: obj.run_test(x, y) without return types