# Copyright (c) 2018 PaddlePaddle Authors. 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. class PSDispatcher(object): """ PSDispatcher is the base class for dispatching vars into different pserver instance. You need to implement the `dispatch` inferface. """ def __init__(self, pserver_endpoints): self._eps = pserver_endpoints self._step = 0 @property def eps(self): return self._eps def reset(self): self._step = 0 def dispatch(self, varlist): """ :param varlist: a list of Variables :return: a map of pserver endpoint -> varname """ AssertionError("Interface has not been implemented.") class HashName(PSDispatcher): """ Hash variable names to several endpoints """ def __init__(self, pserver_endpoints): super(self.__class__, self).__init__(pserver_endpoints) def _hash_block(self, block_str, total): return hash(block_str) % total def dispatch(self, varlist): eplist = [] for var in varlist: server_id = self._hash_block(var.name(), len(self._eps)) server_for_param = self._eps[server_id] eplist.append(server_for_param) return eplist class RoundRobin(PSDispatcher): """ Distribute variables to serveral endpoints. """ def __init__(self, pserver_endpoints): super(self.__class__, self).__init__(pserver_endpoints) def dispatch(self, varlist): eplist = [] for var in varlist: server_for_param = self._eps[self._step] eplist.append(server_for_param) self._step += 1 if self._step >= len(self._eps): self._step = 0 return eplist