def handler(sig, frame):
sd = Shared()
logger = sd.getLogger()
logger.debug("\r\r\r\r\r")
print('...closing...patient...')
while sd.getFlag('safeExit') != 0:
pass
sd.setFlag('nowExit', True)
def main(argv=None):
sd = Shared()
# 全局唯一日志句柄
logger = sd.getLogger()
# 当前操作是否可打断
sd.setFlag('safeExit', 0)
# 当前是否可退出
sd.setFlag('nowExit', False)
# 处理SIGINT信号
signal.signal(signal.SIGINT, handler)
# 配置对象
prop = Prop()
logger.info(prop.toString())
# 消息队列，用于中转训练误差信息
msg_queue = sd.getQueue('msg')
# 数据队列，用于中转训练数据
data_queue = sd.getQueue('data')
# 文件调度对象，加载数据数据
sched = IOsched(prop, data_queue)
sched.start()
# 任务处理对象
mainfeed = MainFeed(prop, data_queue)
mainproc = MainProc(prop, mainfeed, msg_queue)
mainproc.start()
# 走势图绘制
if platform.system() == 'Windows':
render = iRender(msg_queue, prop)
# 主线程等待终止消息或信号
while not sd.getFlag('nowExit'):
if platform.system() == 'Windows':
render.process()
else:
pass
def restore(self, path):
if os.path.exists(path + '/checkpoint'):
ckpt = tf.train.latest_checkpoint(path)
self.__logger.debug('checkpoint path is \'%s\'' % ckpt)
try:
saver = tf.train.Saver(save_relative_paths=True)
saver.restore(self.__sess, ckpt)
except:
sd = Shared()
try:
overwrite = sd.getFlag('overwrite')
except:
overwrite = None
if overwrite is not True:
cprint(
'model[%s] mismatch! current checkpoint will be overwriten,do you want to continue?'
% self.__name, 'yellow')
cands = ['y', 'yes', 'n', 'no']
deci = ''
while not (deci in cands):
deci = input(cprint('y or n:', 'yellow'))
if deci == 'y' or deci == 'yes':
sd.setFlag('overwrite', True)
return False
elif deci == 'n' or deci == 'no':
sd.setFlag('overwrite', False)
exit(-1)
else:
self.__logger.warn(
'invalid input,please try again...')
return False
self.__logger.info('model restored from the latest checkpoint.')
else:
self.__logger.warn('checkpoint not found!')
return False
return True