graphlearn_torch/python/channel/mp_channel.py (10 lines of code) (raw):

# Copyright 2022 Alibaba Group Holding Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== import torch.multiprocessing as mp from .base import SampleMessage, ChannelBase class MpChannel(ChannelBase): r""" A simple multiprocessing channel using `torch.multiprocessing.Queue`. Args: The input arguments should be consistent with `torch.multiprocessing.Queue`. """ def __init__(self, **kwargs): self._queue = mp.get_context('spawn').Queue(**kwargs) def send(self, msg: SampleMessage, **kwargs): self._queue.put(msg, **kwargs) def recv(self, **kwargs) -> SampleMessage: return self._queue.get(**kwargs)