wehub-resource-sync
256 lines
8.5 KiB
Python
Executable File
256 lines
8.5 KiB
Python
Executable File
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except jin compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import time
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from multiprocessing import Manager, Process
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# deprecated module import
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# (TODO: GhostScreaming) It will be removed later.
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from paddle.base import core
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from paddle.distributed.fleet.base.private_helper_function import (
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wait_server_ready,
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)
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__all__ = []
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_global_gloo_ctx = None
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def _start_kv_server(port, http_server_d, size):
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from paddle.distributed.fleet.utils.http_server import KVServer
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http_server = KVServer(int(port), size=size)
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http_server.start()
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wait_seconds = 3
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while http_server_d.get("running", False) or not http_server.should_stop():
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time.sleep(wait_seconds)
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http_server.stop()
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def gloo_init_parallel_env(
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rank_id: int, rank_num: int, server_endpoint: str
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) -> None:
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"""
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Initialize parallel environment with gloo for cpu only.
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Args:
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- rank_id (int, required) - the index of current rank;
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- rank_num (int, required) - the number of ranks in this parallel env;
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- server_endpoint (str, required) - endpoint of server to init gloo context in ip:port format;
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Returns:
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None
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> import multiprocessing
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>>> from contextlib import closing
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>>> import socket
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>>> port_set = set() # type: ignore
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>>> def find_free_port():
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... def _free_port():
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... with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
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... s.bind(('', 0))
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... return s.getsockname()[1]
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...
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... while True:
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... port = _free_port()
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... if port not in port_set:
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... port_set.add(port)
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... return port
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>>> def test_gloo_init(id, rank_num, server_endpoint):
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... paddle.distributed.gloo_init_parallel_env(id, rank_num, server_endpoint)
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>>> def test_gloo_init_with_multiprocess(num_of_ranks):
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... jobs = []
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... server_endpoint = "127.0.0.1:%s" % (find_free_port())
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... for id in range(num_of_ranks):
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... p = multiprocessing.Process(
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... target=test_gloo_init,
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... args=(id, num_of_ranks, server_endpoint),
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... )
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... jobs.append(p)
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... p.start()
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... for proc in jobs:
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... proc.join()
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>>> if __name__ == '__main__':
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... # Arg: number of ranks (processes)
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... test_gloo_init_with_multiprocess(2)
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"""
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assert (rank_num < 2) is False, (
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"rank_num should greater than or equal to 2 for parallel environment initialization."
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)
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# init gloo context
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manager = Manager()
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# global dict to store status
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http_server_status = manager.dict()
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http_server_status["running"] = False
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if rank_id == 0:
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# The scope for worker used by http server is '_worker'
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size = {'_worker': rank_num}
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http_server_proc = Process(
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target=_start_kv_server,
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args=(int(server_endpoint.split(":")[1]), http_server_status, size),
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)
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http_server_proc.daemon = True
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http_server_status["running"] = True
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http_server_proc.start()
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# all processes in this parallel environment should wait until server is ready
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wait_server_ready([server_endpoint])
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gloo_strategy = core.GlooParallelStrategy()
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gloo_strategy.rank = rank_id
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gloo_strategy.rank_num = rank_num
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gloo_strategy.ip_address = server_endpoint.split(":")[0]
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gloo_strategy.ip_port = int(server_endpoint.split(":")[1])
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# default_init_timeout_seconds
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gloo_strategy.init_seconds = 3600
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# default_run_timeout_seconds
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gloo_strategy.run_seconds = 9999999
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global _global_gloo_ctx
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_global_gloo_ctx = core.GlooParallelContext(gloo_strategy)
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_global_gloo_ctx.init()
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if rank_id == 0:
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http_server_status["running"] = False
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http_server_proc.join()
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def gloo_barrier() -> None:
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"""
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Call barrier function with initialized gloo context.
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Args:
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None
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Returns:
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None
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> import multiprocessing
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>>> from contextlib import closing
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>>> import socket
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>>> port_set = set() # type: ignore
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>>> def find_free_port():
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... def _free_port():
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... with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
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... s.bind(('', 0))
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... return s.getsockname()[1]
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...
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... while True:
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... port = _free_port()
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... if port not in port_set:
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... port_set.add(port)
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... return port
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>>> def test_gloo_barrier(id, rank_num, server_endpoint):
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... paddle.distributed.gloo_init_parallel_env(id, rank_num, server_endpoint)
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... paddle.distributed.gloo_barrier()
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>>> def test_gloo_barrier_with_multiprocess(num_of_ranks):
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... jobs = []
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... server_endpoint = "127.0.0.1:%s" % (find_free_port())
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... for id in range(num_of_ranks):
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... p = multiprocessing.Process(
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... target=test_gloo_barrier,
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... args=(id, num_of_ranks, server_endpoint),
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... )
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... jobs.append(p)
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... p.start()
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... for proc in jobs:
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... proc.join()
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>>> if __name__ == '__main__':
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... # Arg: number of ranks (processes)
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... test_gloo_barrier_with_multiprocess(2)
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"""
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assert _global_gloo_ctx is not None, "gloo context is not initialized."
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_global_gloo_ctx.barrier()
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def gloo_release() -> None:
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"""
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Release the parallel environment initialized by gloo
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Args:
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None
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Returns:
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None
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> import multiprocessing
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>>> from contextlib import closing
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>>> import socket
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>>> port_set = set() # type: ignore
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>>> def find_free_port():
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... def _free_port():
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... with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
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... s.bind(('', 0))
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... return s.getsockname()[1]
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...
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... while True:
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... port = _free_port()
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... if port not in port_set:
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... port_set.add(port)
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... return port
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>>> def test_gloo_release(id, rank_num, server_endpoint):
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... paddle.distributed.gloo_init_parallel_env(id, rank_num, server_endpoint)
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... paddle.distributed.gloo_barrier()
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... paddle.distributed.gloo_release()
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>>> def test_gloo_release_with_multiprocess(num_of_ranks):
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... jobs = []
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... server_endpoint = "127.0.0.1:%s" % (find_free_port())
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... for id in range(num_of_ranks):
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... p = multiprocessing.Process(
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... target=test_gloo_release,
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... args=(id, num_of_ranks, server_endpoint),
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... )
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... jobs.append(p)
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... p.start()
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... for proc in jobs:
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... proc.join()
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>>> if __name__ == '__main__':
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... # Arg: number of ranks (processes)
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... test_gloo_release_with_multiprocess(2)
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"""
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if _global_gloo_ctx is not None:
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_global_gloo_ctx.release()
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