main.py
657 Bytes
import tensorflow as tf
from model import DTN
from solver import Solver
flags = tf.app.flags
flags.DEFINE_string('mode', 'train', "'pretrain', 'train' or 'eval'")
FLAGS = flags.FLAGS
def main(_):
model = DTN(mode=FLAGS.mode, learning_rate=0.0003)
solver = Solver(model, batch_size=100, pretrain_iter=5000, train_iter=2000, sample_iter=100,
svhn_dir='svhn', mnist_dir='mnist', log_dir='logs', model_save_path='model')
if FLAGS.mode == 'pretrain':
solver.pretrain()
elif FLAGS.mode == 'train':
solver.train()
else:
solver.eval()
if __name__ == '__main__':
tf.app.run()