分布式CPU训练使用gloo卡主

[welsonzhang]

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分布式cpu多机训练， 启动gloo卡主了, (不启动gloo不会卡主)， 想问一下这个gloo是干什么用的？
具体代码如下：

class Main(object):
    def __init__(self, config):
        self.config = config
    
    def run(self):
        self.init_fleet()
        self.init_network()
        if fleet.is_server():
            self.run_server()
        elif fleet.is_worker():
            self.run_online_worker()
        logger.info("Run Success, Exit.")
    
    def init_fleet(self):
        #fleet.init()
        os.environ["PADDLE_WITH_GLOO"] = "1"
        role = role_maker.PaddleCloudRoleMaker()
        fleet.init(role)

worker端日志：
server not ready, wait 3 sec to retry...
not ready endpoints:['10.60.174.62:43747']

server端日志：
fl-ps > coordinator address is null!
Gloo init with HTTP: need_init_all: False, args: {'http.host': '10.60.174.62', 'http.port': '52503', 'store.prefix': '', 'start_http_server': True, 'http_server_d': <DictProxy object, typeid 'dict' at 0x7fda1adf2160>}
to start http_server
worker_key:_worker, size: {'_worker': 10}
start http_server: 52503, {'_worker': 10}

[welsonzhang]

启动命令：/data/miniconda3/envs/py36/bin/python3.6 -m paddle.distributed.launch --server_num=1 --worker_num=10 --servers=10.62.88.103:4425 --workers=10.62.86.154:4426,10.62.70.134:4426,10.60.150.6:4426,10.62.64.49:4426,10.60.172.0:4426,10.60.147.70:4426,10.62.81.110:4426,10.62.98.74:4426,10.60.163.132:4426,10.62.77.233:4426 /usr/local/train.py

[welsonzhang]

版本2.4

[welsonzhang]

已解决，主要手动设置变量才能对齐。不然会随机取值，导致ps和worker对不齐。
export PADDLE_WITH_GLOO=1
export FLAGS_START_PORT=5678