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run_train.py
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run_train.py
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# Copyright 2018 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.
# ==============================================================================
r"""Script for training an RL agent using the UVF algorithm.
To run locally: See scripts/local_train.py
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import gin.tf
# pylint: enable=unused-import
import train
# pylint: disable=unused-import
flags = tf.app.flags
FLAGS = flags.FLAGS
def main(_):
tf.logging.set_verbosity(tf.logging.INFO)
if FLAGS.config_file:
for config_file in FLAGS.config_file:
gin.parse_config_file(config_file)
if FLAGS.params:
gin.parse_config(FLAGS.params)
assert FLAGS.train_dir, "Flag 'train_dir' must be set."
return train.train_uvf(FLAGS.train_dir)
if __name__ == '__main__':
tf.app.run()