gloo_release¶
释放当前并行环境的 gloo 上下文。
参数¶
无
返回¶
无
代码示例¶
import paddle
import multiprocessing
from contextlib import closing
import socket
port_set = set()
def find_free_port():
    def _free_port():
        with closing(socket.socket(socket.AF_INET,
            socket.SOCK_STREAM)) as s:
            s.bind(('', 0))
            return s.getsockname()[1]
    while True:
        port = _free_port()
        if port not in port_set:
            port_set.add(port)
            return port
def test_gloo_release(id, rank_num, server_endpoint):
    paddle.distributed.gloo_init_parallel_env(
        id, rank_num, server_endpoint)
    paddle.distributed.gloo_barrier()
    paddle.distributed.gloo_release()
def test_gloo_release_with_multiprocess(num_of_ranks):
    jobs = []
    server_endpoint = "127.0.0.1:%s" % (find_free_port())
    for id in range(num_of_ranks):
        p = multiprocessing.Process(
            target=test_gloo_release,
            args=(id, num_of_ranks, server_endpoint))
        jobs.append(p)
        p.start()
    for proc in jobs:
        proc.join()
if __name__ == '__main__':
    # Arg: number of ranks (processes)
    test_gloo_release_with_multiprocess(2)
         