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56 lines
1.8 KiB
56 lines
1.8 KiB
9 years ago
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/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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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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#include <memory>
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#include "paddle/utils/PythonUtil.h"
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#include "paddle/pserver/ParameterServer2.h"
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#include "ParamUtil.h"
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#include "Trainer.h"
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P_DEFINE_string(model_dir, "", "Directory for separated model files");
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P_DEFINE_string(model_file, "", "File for merged model file");
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using namespace paddle; // NOLINT
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using namespace std; // NOLINT
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int main(int argc, char** argv) {
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initMain(argc, argv);
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initPython(argc, argv);
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string confFile = TrainerConfigHelper::getConfigNameFromPath(FLAGS_model_dir);
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#ifdef PADDLE_ONLY_CPU
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FLAGS_use_gpu = false;
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#endif
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auto config = std::make_shared<TrainerConfigHelper>(confFile);
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unique_ptr<GradientMachine> gradientMachine(GradientMachine::create(*config));
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gradientMachine->loadParameters(FLAGS_model_dir);
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ofstream os(FLAGS_model_file);
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string buf;
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config->getConfig().SerializeToString(&buf);
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int64_t size = buf.size();
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os.write((char*)&size, sizeof(size));
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CHECK(os) << "Fail to write to " << FLAGS_model_file;
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os.write(buf.data(), buf.size());
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vector<ParameterPtr>& parameters = gradientMachine->getParameters();
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for (auto& para : parameters) {
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para->save(os);
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CHECK(os) << "Fail to write to " << FLAGS_model_file;
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}
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os.close();
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return 0;
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}
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