dongdaxiang
7 years ago
parent
8a335b50be
commit
c165012031
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/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <memory>
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#include <string>
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#include "paddle/fluid/framework/device_worker.h"
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namespace paddle {
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namespace framework {
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typedef std::shared_ptr<DeviceWorker> (*Createdevice_workerFunction)();
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typedef std::unordered_map<std::string, Createdevice_workerFunction>
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device_workerMap;
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device_workerMap g_device_worker_map;
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#define REGISTER_DEVICE_WORKER_CLASS(device_worker_class) \
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namespace { \
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std::shared_ptr<DeviceWorker> Creator_##device_worker_class() { \
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return std::shared_ptr<DeviceWorker>(new device_worker_class); \
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} \
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class __Registerer_##device_worker_class { \
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public: \
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__Registerer_##device_worker_class() { \
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g_device_worker_map[#device_worker_class] = \
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&Creator_##device_worker_class; \
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} \
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}; \
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__Registerer_##device_worker_class g_registerer_##device_worker_class; \
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} // namespace
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class DeviceWorkerFactory {
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public:
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static std::string DeviceWorkerTypeList();
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static std::shared_ptr<DeviceWorker> CreateDeviceWorker(
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std::string device_worker_class);
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};
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} // namespace framework
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} // namespace paddle
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@ -1 +1 @@
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cc_library(fleet_wrapper SRCS fleet_wrapper.cc)
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cc_library(fleet_wrapper SRCS fleet_wrapper.cc DEPS pslib_brpc pslib)
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/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <memory>
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#include <string>
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#include "paddle/fluid/framework/trainer.h"
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namespace paddle {
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namespace framework {
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typedef std::shared_ptr<TrainerBase> (*CreatetrainerFunction)();
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typedef std::unordered_map<std::string, CreatetrainerFunction> trainerMap;
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trainerMap g_trainer_map;
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#define REGISTER_TRAINER_CLASS(trainer_class) \
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namespace { \
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std::shared_ptr<TrainerBase> Creator_##trainer_class() { \
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return std::shared_ptr<TrainerBase>(new trainer_class); \
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} \
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class __Registerer_##trainer_class { \
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public: \
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__Registerer_##trainer_class() { \
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g_trainer_map[#trainer_class] = &Creator_##trainer_class; \
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} \
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}; \
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__Registerer_##trainer_class g_registerer_##trainer_class; \
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} // namespace
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class TrainerFactory {
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public:
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static std::string TrainerTypeList();
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static std::shared_ptr<TrainerBase> CreateTrainer(std::string trainer_class);
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};
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} // namespace framework
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} // namespace paddle
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# Copyright (c) 2018 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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class DeviceWorker(object):
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def __init__(self):
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pass
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def gen_worker_desc(self, trainer_desc, fleet_desc):
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pass
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class Hogwild(DeviceWorker):
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def __init__(self):
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super(Hogwild, self).__init__()
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def gen_worker_desc(self, trainer_desc, fleet_desc):
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trainer_desc.device_worker_name = "HogwildWorker"
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class Downpour(DeviceWorker):
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def __init__(self):
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super(Downpour, self).__init__()
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def gen_worker_desc(self, trainer_desc, fleet_desc):
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trainer_desc.device_worker_name = "DownpourWorker"
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pull_thread = trainer_desc.pull_dense_param
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pull_thread.device_num = trainer_desc.thread_num
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dense_table = pull_thread.dense_table.add()
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dense_table.dense_value_name.extend(
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fleet_desc.trainer_param.dense_table[0].dense_variable_name)
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dense_table.table_id = \
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fleet_desc.trainer_param.dense_table[0].table_id
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downpour = trainer_desc.downpour_param
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sparse_table = downpour.sparse_table.add()
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sparse_table.table_id = \
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fleet_desc.trainer_param.sparse_table[0].table_id
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sparse_table.sparse_key_name.extend(
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fleet_desc.trainer_param.sparse_table[0].slot_key)
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sparse_table.sparse_value_name.extend(
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fleet_desc.trainer_param.sparse_table[0].slot_value)
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sparse_table.sparse_grad_name.extend(
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fleet_desc.trainer_param.sparse_table[0].slot_gradient)
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sparse_table.emb_dim = fleet_desc.server_param.downpour_server_param.downpour_table_param[
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0].accessor.fea_dim - 2
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sparse_table.fea_dim = sparse_table.emb_dim + 2
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sparse_table.label_var_name = "click"
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dense_table = downpour.dense_table.add()
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dense_table.table_id = \
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fleet_desc.trainer_param.dense_table[0].table_id
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dense_table.dense_value_name.extend(
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fleet_desc.trainer_param.dense_table[0].dense_variable_name)
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dense_table.dense_grad_name.extend(fleet_desc.trainer_param.dense_table[
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0].dense_gradient_variable_name)
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downpour.skip_ops.extend(fleet_desc.trainer_param.skip_op)
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class DeviceWorkerFactory(object):
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def create_device_worker(self, worker_type):
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classname = worker_type.capitalize()
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print("------------")
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print(classname)
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return globals()[classname]()
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