text: # Copyright 2016 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.
  # ==============================================================================
  """Demo of the tfdbg curses UI: A TF network computing Fibonacci sequence."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  from six.moves import xrange  # pylint: disable=redefined-builtin
  import tensorflow as tf
  
  from tensorflow.python import debug as tf_debug
  
  flags = tf.app.flags
  FLAGS = flags.FLAGS
  flags.DEFINE_integer("tensor_size", 30,
                       "Size of tensor. E.g., if the value is 30, the tensors "
                       "will have shape [30, 30].")
  flags.DEFINE_integer("length", 20,
                       "Length of the fibonacci sequence to compute.")
  
  
  def main(_):
    sess = tf.Session()
  
    # Construct the TensorFlow network.
    n0 = tf.Variable(np.ones([FLAGS.tensor_size] * 2), name="node_00")
    n1 = tf.Variable(np.ones([FLAGS.tensor_size] * 2), name="node_01")
  
    if FLAGS.length > 100:
      raise ValueError("n is too big.")
  
    for i in xrange(2, FLAGS.length):
      n0, n1 = n1, tf.add(n0, n1, name="node_%.2d" % i)
  
    sess.run(tf.global_variables_initializer())
  
    # Wrap the TensorFlow Session object for debugging.
    sess = tf_debug.LocalCLIDebugWrapperSession(sess)
  
    sess.run(n1)
  
  
  if __name__ == "__main__":
    tf.app.run()
  