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1# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Demo of the tfdbg curses UI: A TF network computing Fibonacci sequence."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import argparse
21import sys
22
23import numpy as np
24from six.moves import xrange  # pylint: disable=redefined-builtin
25import tensorflow
26
27from tensorflow.python import debug as tf_debug
28
29tf = tensorflow.compat.v1
30
31FLAGS = None
32
33
34def main(_):
35  sess = tf.Session()
36
37  # Construct the TensorFlow network.
38  n0 = tf.Variable(
39      np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32, name="node_00")
40  n1 = tf.Variable(
41      np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32, name="node_01")
42
43  for i in xrange(2, FLAGS.length):
44    n0, n1 = n1, tf.add(n0, n1, name="node_%.2d" % i)
45
46  sess.run(tf.global_variables_initializer())
47
48  # Wrap the TensorFlow Session object for debugging.
49  if FLAGS.debug and FLAGS.tensorboard_debug_address:
50    raise ValueError(
51        "The --debug and --tensorboard_debug_address flags are mutually "
52        "exclusive.")
53  if FLAGS.debug:
54    sess = tf_debug.LocalCLIDebugWrapperSession(sess)
55
56    def has_negative(_, tensor):
57      return np.any(tensor < 0)
58
59    sess.add_tensor_filter("has_inf_or_nan", tf_debug.has_inf_or_nan)
60    sess.add_tensor_filter("has_negative", has_negative)
61  elif FLAGS.tensorboard_debug_address:
62    sess = tf_debug.TensorBoardDebugWrapperSession(
63        sess, FLAGS.tensorboard_debug_address)
64
65  print("Fibonacci number at position %d:\n%s" % (FLAGS.length, sess.run(n1)))
66
67
68if __name__ == "__main__":
69  parser = argparse.ArgumentParser()
70  parser.register("type", "bool", lambda v: v.lower() == "true")
71  parser.add_argument(
72      "--tensor_size",
73      type=int,
74      default=1,
75      help="""\
76      Size of tensor. E.g., if the value is 30, the tensors will have shape
77      [30, 30].\
78      """)
79  parser.add_argument(
80      "--length",
81      type=int,
82      default=20,
83      help="Length of the fibonacci sequence to compute.")
84  parser.add_argument(
85      "--ui_type",
86      type=str,
87      default="curses",
88      help="Command-line user interface type (curses | readline)")
89  parser.add_argument(
90      "--debug",
91      dest="debug",
92      action="store_true",
93      help="Use TensorFlow Debugger (tfdbg). Mutually exclusive with the "
94      "--tensorboard_debug_address flag.")
95  parser.add_argument(
96      "--tensorboard_debug_address",
97      type=str,
98      default=None,
99      help="Connect to the TensorBoard Debugger Plugin backend specified by "
100      "the gRPC address (e.g., localhost:1234). Mutually exclusive with the "
101      "--debug flag.")
102
103  FLAGS, unparsed = parser.parse_known_args()
104  with tf.Graph().as_default():
105    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
106