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89 lines
3.1 KiB
89 lines
3.1 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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from paddle.fluid.proto import trainer_desc_pb2
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from distributed import ps_pb2 as ps_pb2
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from device_worker import DeviceWorkerFactory
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from google.protobuf import text_format
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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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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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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_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 _desc(self):
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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 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_.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 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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self.device_worker_.gen_worker_desc(self.proto_desc)
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def set_program_config(self, fleet_desc, program_id):
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for program_config in fleet_desc.trainer_param.program_config:
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if program_config.program_id == program_id:
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pc = self.proto_desc.downpour_param.program_config.add()
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pc.program_id = program_config.program_id
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for i in program_config.push_sparse_table_id:
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pc.push_sparse_table_id.extend([i])
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for i in program_config.push_dense_table_id:
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pc.push_dense_table_id.extend([i])
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for i in program_config.pull_sparse_table_id:
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pc.pull_sparse_table_id.extend([i])
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for i in program_config.pull_dense_table_id:
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pc.pull_dense_table_id.extend([i])
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break
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