# 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 argparse

import sys

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 = None

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__":

parser = argparse.ArgumentParser()

parser.register("type", "bool", lambda v: v.lower() == "true")

parser.add_argument(

"--tensor_size",

type=int,

default=30,

help="""\

Size of tensor. E.g., if the value is 30, the tensors will have shape

[30, 30].\

""")

parser.add_argument(

"--length",

type=int,

default=20,

help="Length of the fibonacci sequence to compute.")

FLAGS, unparsed = parser.parse_known_args()

tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)