# Copyright (c) 2019 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. import sys __all__ = ['DeviceWorker', 'Hogwild', 'DownpourSGD'] class DeviceWorker(object): def __init__(self): self.program_ = None def set_fleet_desc(self, fleet_desc): self.fleet_desc_ = fleet_desc def set_program(self, program): self.program_ = program def gen_worker_desc(self, trainer_desc): pass class Hogwild(DeviceWorker): def __init__(self): super(Hogwild, self).__init__() def gen_worker_desc(self, trainer_desc): trainer_desc.device_worker_name = "HogwildWorker" class DownpourSGD(DeviceWorker): def __init__(self): super(DownpourSGD, self).__init__() def gen_worker_desc(self, trainer_desc): trainer_desc.device_worker_name = "DownpourWorker" pull_thread = trainer_desc.pull_dense_param pull_thread.device_num = trainer_desc.thread_num dense_table = pull_thread.dense_table.add() dense_table.dense_value_name.extend( self.fleet_desc_.trainer_param.dense_table[0].dense_variable_name) dense_table.table_id = \ self.fleet_desc_.trainer_param.dense_table[0].table_id downpour = trainer_desc.downpour_param sparse_table = downpour.sparse_table.add() sparse_table.table_id = \ self.fleet_desc_.trainer_param.sparse_table[0].table_id sparse_table.sparse_key_name.extend( self.fleet_desc_.trainer_param.sparse_table[0].slot_key) sparse_table.sparse_value_name.extend( self.fleet_desc_.trainer_param.sparse_table[0].slot_value) sparse_table.sparse_grad_name.extend( self.fleet_desc_.trainer_param.sparse_table[0].slot_gradient) sparse_table.emb_dim = \ self.fleet_desc_.server_param.downpour_server_param.downpour_table_param[ 0].accessor.fea_dim - 2 sparse_table.fea_dim = sparse_table.emb_dim + 2 # TODO(guru4elephant): hard code here, need to improve sparse_table.label_var_name = "click" dense_table = downpour.dense_table.add() dense_table.table_id = \ self.fleet_desc_.trainer_param.dense_table[0].table_id dense_table.dense_value_name.extend( self.fleet_desc_.trainer_param.dense_table[0].dense_variable_name) dense_table.dense_grad_name.extend( self.fleet_desc_.trainer_param.dense_table[ 0].dense_gradient_variable_name) downpour.skip_ops.extend(self.fleet_desc_.trainer_param.skip_op) program_id = str(id(self.program_)) if self.program_ == None: print("program of current device worker is not configured") sys.exit(-1) opt_info = self.program_._fleet_opt program_configs = opt_info["program_configs"] for pid in program_configs: if pid == program_id: pc = downpour.program_config.add() pc.program_id = program_id for i in program_configs[program_id]["push_sparse"]: pc.push_sparse_table_id.extend([i]) for i in program_configs[program_id]["push_dense"]: pc.push_dense_table_id.extend([i]) for i in program_configs[program_id]["pull_sparse"]: pc.pull_sparse_table_id.extend([i]) for i in program_configs[program_id]["pull_dense"]: pc.pull_dense_table_id.extend([i]) break class DeviceWorkerFactory(object): def create_device_worker(self, worker_type): classname = worker_type.capitalize() return globals()[classname]()