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app.py
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app.py
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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.
# ==============================================================================
"""Generic entry point script."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys as _sys
from tensorflow.python.platform import flags
from tensorflow.python.util.all_util import remove_undocumented
def _benchmark_tests_can_log_memory():
return True
def run(main=None, argv=None):
"""Runs the program with an optional 'main' function and 'argv' list."""
f = flags.FLAGS
# Extract the args from the optional `argv` list.
args = argv[1:] if argv else None
# Parse the known flags from that list, or from the command
# line otherwise.
# pylint: disable=protected-access
flags_passthrough = f._parse_flags(args=args)
# pylint: enable=protected-access
main = main or _sys.modules['__main__'].main
# Call the main function, passing through any arguments
# to the final program.
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
_allowed_symbols = [
'run',
# Allowed submodule.
'flags',
]
remove_undocumented(__name__, _allowed_symbols)