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# 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), dtype=tf.int32, name="node_00")
n1 = tf.Variable(
np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32, name="node_01")
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.
if FLAGS.debug and FLAGS.tensorboard_debug_address:
raise ValueError(
"The --debug and --tensorboard_debug_address flags are mutually "
"exclusive.")
if FLAGS.debug:
sess = tf_debug.LocalCLIDebugWrapperSession(sess)
def has_negative(_, tensor):
return np.any(tensor < 0)
sess.add_tensor_filter("has_inf_or_nan", tf_debug.has_inf_or_nan)
sess.add_tensor_filter("has_negative", has_negative)
elif FLAGS.tensorboard_debug_address:
sess = tf_debug.TensorBoardDebugWrapperSession(
sess, FLAGS.tensorboard_debug_address)
print("Fibonacci number at position %d:\n%s" %
(FLAGS.length, 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=1,
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.")
parser.add_argument(
"--ui_type",
type=str,
default="curses",
help="Command-line user interface type (curses | readline)")
parser.add_argument(
"--debug",
dest="debug",
action="store_true",
help="Use TensorFlow Debugger (tfdbg). Mutually exclusive with the "
"--tensorboard_debug_address flag.")
parser.add_argument(
"--tensorboard_debug_address",
type=str,
default=None,
help="Connect to the TensorBoard Debugger Plugin backend specified by "
"the gRPC address (e.g., localhost:1234). Mutually exclusive with the "
"--debug flag.")
FLAGS, unparsed = parser.parse_known_args()
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
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