new_contents: from __future__ import absolute_import
  from __future__ import print_function
  from __future__ import division
  
  import tensorflow as tf
  import numpy as np
  
  import time
  import discogan
  import image_utils as iu
  import dataset
  
  
  dirs = {
      'sample_output': './DiscoGAN/',
      'checkpoint': './model/checkpoint',
      'model': './model/DiscoGAN-model.ckpt'
  }
  paras = {
      'epoch': 250,
      'batch_size': 256,
      'logging_interval': 1000
  }
  
  
  def main():
      start_time = time.time()  # clocking start
  
      config = tf.ConfigProto()
      config.gpu_options.allow_growth = True
      with tf.Session(config=config) as s:
          # DiscoGAN model
          model = discogan.DiscoGAN(s)
  
          # load model & graph & weight
          ckpt = tf.train.get_checkpoint_state('./model/')
          if ckpt and ckpt.model_checkpoint_path:
              # Restores from checkpoint
              model.saver.restore(s, ckpt.model_checkpoint_path)
  
              global_step = ckpt.model_checkpoint_path.split('/')[-1].split('-')[-1]
              print("[+] global step : %s" % global_step, " successfully loaded")
          else:
              global_step = 0
              print('[-] No checkpoint file found')
  
          # initializing variables
          tf.global_variables_initializer().run()
  
  
subject: add initial file