import tensorflow as tf

from config.argument_loader import ArgumentLoader
from model.dnc_trainer import DNCTrainer
# Loading Arguments
al = ArgumentLoader()
FLAGS = al.get_configuration()

def main(args):
  tf.logging.set_verbosity(3)
  dt = DNCTrainer(FLAGS)
  dt.train_model()

if __name__ == "__main__":
  tf.app.run()

27d6be33d1abdae68ccd58c99a6eb2377f8f9e12
<mask token>


def main(args):
    tf.logging.set_verbosity(3)
    dt = DNCTrainer(FLAGS)
    dt.train_model()


<mask token>

<mask token>


def main(args):
    tf.logging.set_verbosity(3)
    dt = DNCTrainer(FLAGS)
    dt.train_model()


if __name__ == '__main__':
    tf.app.run()

<mask token>
al = ArgumentLoader()
FLAGS = al.get_configuration()


def main(args):
    tf.logging.set_verbosity(3)
    dt = DNCTrainer(FLAGS)
    dt.train_model()


if __name__ == '__main__':
    tf.app.run()

import tensorflow as tf
from config.argument_loader import ArgumentLoader
from model.dnc_trainer import DNCTrainer
al = ArgumentLoader()
FLAGS = al.get_configuration()


def main(args):
    tf.logging.set_verbosity(3)
    dt = DNCTrainer(FLAGS)
    dt.train_model()


if __name__ == '__main__':
    tf.app.run()

import tensorflow as tf

from config.argument_loader import ArgumentLoader
from model.dnc_trainer import DNCTrainer
# Loading Arguments
al = ArgumentLoader()
FLAGS = al.get_configuration()

def main(args):
  tf.logging.set_verbosity(3)
  dt = DNCTrainer(FLAGS)
  dt.train_model()

if __name__ == "__main__":
  tf.app.run()
