# MegEngine is Licensed under the Apache License, Version 2.0 (the "License") # # Copyright (c) 2014-2020 Megvii Inc. All rights reserved. # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. import multiprocessing as mp import platform import queue from time import sleep import pytest import megengine as mge import megengine._internal as mgb import megengine.distributed as dist _LOCALHOST = "127.0.0.1" def _assert_q_empty(q): try: res = q.get(timeout=1) except Exception as e: assert isinstance(e, queue.Empty) else: assert False, "queue is not empty" def _assert_q_val(q, val): ret = q.get() assert ret == val def _init_process_group_wrapper(world_size, rank, dev, backend, q): if rank == 0: dist.init_process_group(_LOCALHOST, 0, world_size, rank, dev, backend) q.put(dist.get_master_port()) else: port = q.get() dist.init_process_group(_LOCALHOST, port, world_size, rank, dev, backend) @pytest.mark.skipif( platform.system() == "Darwin", reason="do not imp GPU mode at macos now" ) @pytest.mark.isolated_distributed def test_create_mm_server(): def worker(): if not mge.is_cuda_available(): return port = mgb.config.create_mm_server("0.0.0.0", 0) assert port > 0 res = mgb.config.create_mm_server("0.0.0.0", port) assert res == -1 p = mp.Process(target=worker) p.start() p.join(10) assert p.exitcode == 0 @pytest.mark.skipif( platform.system() == "Darwin", reason="do not imp GPU mode at macos now" ) @pytest.mark.isolated_distributed def test_init_process_group(): world_size = 2 def worker(rank, backend, q): if not mge.is_cuda_available(): return _init_process_group_wrapper(world_size, rank, rank, backend, q) assert dist.is_distributed() == True assert dist.get_master_ip() == _LOCALHOST assert dist.get_master_port() > 0 assert dist.get_world_size() == world_size assert dist.get_rank() == rank assert dist.get_backend() == backend def check(backend): Q = mp.Queue() p0 = mp.Process(target=worker, args=(0, backend, Q)) p1 = mp.Process(target=worker, args=(1, backend, Q)) p0.start() p1.start() p0.join(10) p1.join(10) assert p0.exitcode == 0 and p1.exitcode == 0 check("nccl") check("ucx") @pytest.mark.skipif( platform.system() == "Darwin", reason="do not imp GPU mode at macos now" ) @pytest.mark.isolated_distributed def test_group_barrier(): world_size = 2 ip = "127.0.0.1" backend = "nccl" def worker(rank, q): if not mge.is_cuda_available(): return _init_process_group_wrapper(world_size, rank, rank, backend, q) dist.group_barrier() if rank == 0: dist.group_barrier() q.put(0) # to be observed in rank 1 else: _assert_q_empty(q) # q.put(0) is not executed in rank 0 dist.group_barrier() _assert_q_val(q, 0) # q.put(0) executed in rank 0 Q = mp.Queue() p0 = mp.Process(target=worker, args=(0, Q)) p1 = mp.Process(target=worker, args=(1, Q)) p0.start() p1.start() p0.join(10) p1.join(10) assert p0.exitcode == 0 and p1.exitcode == 0 @pytest.mark.skipif( platform.system() == "Darwin", reason="do not imp GPU mode at macos now" ) @pytest.mark.isolated_distributed def test_synchronized(): world_size = 2 backend = "nccl" @dist.synchronized def func(rank, q): q.put(rank) def worker(rank, q): if not mge.is_cuda_available(): return _init_process_group_wrapper(world_size, rank, rank, backend, q) dist.group_barrier() if rank == 0: func(0, q) # q.put(0) q.put(2) else: _assert_q_val(q, 0) # func executed in rank 0 _assert_q_empty(q) # q.put(2) is not executed func(1, q) _assert_q_val( q, 1 ) # func in rank 1 executed earlier than q.put(2) in rank 0 _assert_q_val(q, 2) # q.put(2) executed in rank 0 Q = mp.Queue() p0 = mp.Process(target=worker, args=(0, Q)) p1 = mp.Process(target=worker, args=(1, Q)) p0.start() p1.start() p0.join(10) p1.join(10) assert p0.exitcode == 0 and p1.exitcode == 0