text: # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  """Simple GraphEditor example.
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  import tensorflow as tf
  from tensorflow.contrib import graph_editor as ge
  
  FLAGS = tf.flags.FLAGS
  
  
  def main(_):
    # create a graph
    g = tf.Graph()
    with g.as_default():
      a = tf.constant(1.0, shape=[2, 3], name="a")
      b = tf.constant(2.0, shape=[2, 3], name="b")
      c = tf.add(
          tf.placeholder(dtype=np.float32),
          tf.placeholder(dtype=np.float32),
          name="c")
  
    # modify the graph
    ge.swap_inputs(c.op, [a, b])
  
    # print the graph def
    print(g.as_graph_def())
  
    # and print the value of c
    with tf.Session(graph=g) as sess:
      res = sess.run(c)
      print(res)
  
  
  if __name__ == "__main__":
    tf.app.run()
  