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102 lines
3.4 KiB
102 lines
3.4 KiB
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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__all__ = ['TrainerDesc', 'MultiTrainer', 'DistMultiTrainer']
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# can be initialized from train_desc,
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class TrainerDesc(object):
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def __init__(self):
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'''
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self.proto_desc = data_feed_pb2.DataFeedDesc()
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with open(proto_file, 'r') as f:
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text_format.Parse(f.read(), self.proto_desc)
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'''
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from proto import trainer_desc_pb2
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self.proto_desc = trainer_desc_pb2.TrainerDesc()
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import multiprocessing as mp
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# set default thread num == cpu count
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self.proto_desc.thread_num = mp.cpu_count()
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self.fleet_desc_ = None
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self.device_worker_ = None
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self.program_ = None
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self.infer_ = False
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def _set_fetch_var_and_info(self, fetch_vars, fetch_info, print_period):
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for i, v in enumerate(fetch_vars):
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self.proto_desc.fetch_config.fetch_var_names.extend([v.name])
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self.proto_desc.fetch_config.fetch_var_str_format.extend(
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[fetch_info[i]])
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self.proto_desc.fetch_config.print_period = print_period
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def _set_debug(self, debug):
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self.proto_desc.debug = debug
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def _set_thread(self, thread_num):
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self.proto_desc.thread_num = thread_num
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def _set_device_worker(self, device_worker):
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self.device_worker_ = device_worker
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def _set_infer(self, infer):
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self.infer_ = infer
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def _set_fleet_desc(self, fleet_desc):
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self.fleet_desc_ = fleet_desc
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def _gen_trainer_desc(self):
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pass
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def _set_program(self, program):
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self.program_ = program
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def _desc(self):
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from google.protobuf import text_format
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return text_format.MessageToString(self.proto_desc)
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class MultiTrainer(TrainerDesc):
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def __init__(self):
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super(MultiTrainer, self).__init__()
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pass
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def _set_program(self, program):
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super(MultiTrainer, self)._set_program(program)
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self.program_ = program
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def _gen_trainer_desc(self):
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super(MultiTrainer, self)._gen_trainer_desc()
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self.proto_desc.class_name = "MultiTrainer"
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self.device_worker_._set_infer(self.infer_)
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self.device_worker_._gen_worker_desc(self.proto_desc)
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class DistMultiTrainer(TrainerDesc):
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def __init__(self):
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super(DistMultiTrainer, self).__init__()
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pass
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def _set_program(self, program):
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super(DistMultiTrainer, self)._set_program(program)
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self.program_ = program
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def _gen_trainer_desc(self):
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super(DistMultiTrainer, self)._gen_trainer_desc()
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self.proto_desc.class_name = "DistMultiTrainer"
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if self.program_ == None:
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raise RuntimeError("None Program")
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self.device_worker_._set_infer(self.infer_)
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self.device_worker_._set_program(self.program_)
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self.device_worker_._gen_worker_desc(self.proto_desc)
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