main.py 文件源码

def main(_):
  gpu_options = tf.GPUOptions(
      per_process_gpu_memory_fraction=calc_gpu_fraction(FLAGS.gpu_fraction))

  with tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
    config = get_config(FLAGS) or FLAGS

    if config.env_type == 'simple':
      env = SimpleGymEnvironment(config)
    else:
      env = GymEnvironment(config)

    if not tf.test.is_gpu_available() and FLAGS.use_gpu:
      raise Exception("use_gpu flag is true when no GPUs are available")

    if not FLAGS.use_gpu:
      config.cnn_format = 'NHWC'

    agent = Agent(config, env, sess)

    if FLAGS.is_train:
      agent.train()
    else:
      agent.play()