def __create_input(self, main_root):
		content = self.__manager.load_content()
		input_dir = os.path.join(main_root,'input')
		try:
			content.get(self.__task.data['id'], 'input', os.path.join(main_root, 'input'))
		except:
			safe_mkdir(input_dir)
def _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads