# 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. __all__ = ['TrainerDesc', 'MultiTrainer', 'DistMultiTrainer', 'PipelineTrainer'] # can be initialized from train_desc, class TrainerDesc(object): def __init__(self): ''' self.proto_desc = data_feed_pb2.DataFeedDesc() with open(proto_file, 'r') as f: text_format.Parse(f.read(), self.proto_desc) ''' from proto import trainer_desc_pb2 self.proto_desc = trainer_desc_pb2.TrainerDesc() import multiprocessing as mp # set default thread num == cpu count self.proto_desc.thread_num = mp.cpu_count() self._fleet_desc = None self._device_worker = None self._program = None self._infer = False def _set_fetch_var_and_info(self, fetch_vars, fetch_info, print_period): for i, v in enumerate(fetch_vars): self.proto_desc.fetch_config.fetch_var_names.extend([v.name]) self.proto_desc.fetch_config.fetch_var_str_format.extend( [fetch_info[i]]) self.proto_desc.fetch_config.print_period = print_period def _set_debug(self, debug): self.proto_desc.debug = debug def _set_thread(self, thread_num): self.proto_desc.thread_num = thread_num def _set_device_worker(self, device_worker): self._device_worker = device_worker def _set_infer(self, infer): self._infer = infer def _set_fleet_desc(self, fleet_desc): self._fleet_desc = fleet_desc def _gen_trainer_desc(self): pass def _set_program(self, program): self._program = program def _set_use_cvm(self, use_cvm=False): self.proto_desc.use_cvm = use_cvm def _desc(self): from google.protobuf import text_format return self.proto_desc.SerializeToString() class MultiTrainer(TrainerDesc): def __init__(self): super(MultiTrainer, self).__init__() pass def _set_program(self, program): super(MultiTrainer, self)._set_program(program) self._program = program def _gen_trainer_desc(self): super(MultiTrainer, self)._gen_trainer_desc() self.proto_desc.class_name = "MultiTrainer" self._device_worker._set_infer(self._infer) self._device_worker._gen_worker_desc(self.proto_desc) class DistMultiTrainer(TrainerDesc): def __init__(self): super(DistMultiTrainer, self).__init__() pass def _set_program(self, program): super(DistMultiTrainer, self)._set_program(program) self._program = program def _gen_trainer_desc(self): super(DistMultiTrainer, self)._gen_trainer_desc() self.proto_desc.class_name = "DistMultiTrainer" if self._program == None: raise RuntimeError("None Program") self._device_worker._set_infer(self._infer) self._device_worker._set_program(self._program) self._device_worker._gen_worker_desc(self.proto_desc) class PipelineTrainer(TrainerDesc): def __init__(self): super(PipelineTrainer, self).__init__() pass def _set_program(self, program): super(PipelineTrainer, self)._set_program(program) self._program = program def _gen_trainer_desc(self): super(PipelineTrainer, self)._gen_trainer_desc() self.proto_desc.class_name = "PipelineTrainer" if self._program == None: raise RuntimeError("None Program") self._device_worker._set_infer(self._infer) self._device_worker._set_program(self._program) self._device_worker._gen_worker_desc(self.proto_desc)