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# 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.
# ==============================================================================
"""Serve TensorFlow summary data to a web frontend.
This is a simple web server to proxy data from the event_loader to the web, and
serve static web files.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import socket
from tensorflow.python.platform import app
from tensorflow.python.platform import flags
from tensorflow.python.platform import resource_loader
from tensorflow.python.platform import status_bar
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.summary import event_file_inspector as efi
from tensorflow.python.summary import event_multiplexer
from tensorflow.tensorboard.backend import server
flags.DEFINE_string('logdir', '', """logdir specifies the directory where
TensorBoard will look to find TensorFlow event files that it can display.
TensorBoard will recursively walk the directory structure rooted at logdir,
looking for .*tfevents.* files.
You may also pass a comma separated list of log directories, and TensorBoard
will watch each directory. You can also assign names to individual log
directories by putting a colon between the name and the path, as in
tensorboard --logdir=name1:/path/to/logs/1,name2:/path/to/logs/2
""")
flags.DEFINE_boolean('debug', False, 'Whether to run the app in debug mode. '
'This increases log verbosity to DEBUG.')
flags.DEFINE_string('host', '0.0.0.0', 'What host to listen to. Defaults to '
'serving on 0.0.0.0, set to 127.0.0.1 (localhost) to'
'disable remote access (also quiets security warnings).')
flags.DEFINE_boolean('inspect', False, """Use this flag to print out a digest
of your event files to the command line, when no data is shown on TensorBoard or
the data shown looks weird.
Example usages:
tensorboard --inspect --event_file=myevents.out
tensorboard --inspect --event_file=myevents.out --tag=loss
tensorboard --inspect --logdir=mylogdir
tensorboard --inspect --logdir=mylogdir --tag=loss
See tensorflow/python/summary/event_file_inspector.py for more info and
detailed usage.
""")
flags.DEFINE_string(
'tag', '',
'The particular tag to query for. Only used if --inspect is present')
flags.DEFINE_string(
'event_file', '',
'The particular event file to query for. Only used if --inspect is present '
'and --logdir is not specified.')
flags.DEFINE_integer('port', 6006, 'What port to serve TensorBoard on.')
flags.DEFINE_boolean('purge_orphaned_data', True, 'Whether to purge data that '
'may have been orphaned due to TensorBoard restarts. '
'Disabling purge_orphaned_data can be used to debug data '
'disappearance.')
flags.DEFINE_integer('reload_interval', 60, 'How often the backend should load '
'more data.')
FLAGS = flags.FLAGS
def main(unused_argv=None):
logdir = os.path.expanduser(FLAGS.logdir)
event_file = os.path.expanduser(FLAGS.event_file)
if FLAGS.debug:
logging.set_verbosity(logging.DEBUG)
logging.info('TensorBoard is in debug mode.')
if FLAGS.inspect:
logging.info('Not bringing up TensorBoard, but inspecting event files.')
efi.inspect(logdir, event_file, FLAGS.tag)
return 0
if not logdir:
msg = ('A logdir must be specified. Run `tensorboard --help` for '
'details and examples.')
logging.error(msg)
print(msg)
return -1
logging.info('Starting TensorBoard in directory %s', os.getcwd())
path_to_run = server.ParseEventFilesSpec(logdir)
logging.info('TensorBoard path_to_run is: %s', path_to_run)
multiplexer = event_multiplexer.EventMultiplexer(
size_guidance=server.TENSORBOARD_SIZE_GUIDANCE,
purge_orphaned_data=FLAGS.purge_orphaned_data)
server.StartMultiplexerReloadingThread(multiplexer, path_to_run,
FLAGS.reload_interval)
try:
tb_server = server.BuildServer(multiplexer, FLAGS.host, FLAGS.port)
except socket.error:
if FLAGS.port == 0:
msg = 'Unable to find any open ports.'
logging.error(msg)
print(msg)
return -2
else:
msg = 'Tried to connect to port %d, but address is in use.' % FLAGS.port
logging.error(msg)
print(msg)
return -3
try:
tag = resource_loader.load_resource('tensorboard/TAG').strip()
logging.info('TensorBoard is tag: %s', tag)
except IOError:
logging.info('Unable to read TensorBoard tag')
tag = ''
status_bar.SetupStatusBarInsideGoogle('TensorBoard %s' % tag, FLAGS.port)
print('Starting TensorBoard %s on port %d' % (tag, FLAGS.port))
if FLAGS.host == "0.0.0.0":
try:
host = socket.gethostbyname(socket.gethostname())
print('(You can navigate to http://%s:%d)' % (host, FLAGS.port))
except socket.gaierror:
pass
else:
print('(You can navigate to http://%s:%d)' % (FLAGS.host, FLAGS.port))
tb_server.serve_forever()
if __name__ == '__main__':
app.run()
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