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49 lines
1.7 KiB
49 lines
1.7 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 "TrainerInternalConfig.h"
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P_DEFINE_int32(show_parameter_stats_period, 0,
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"Whether to show parameter stats during training");
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P_DEFINE_int32(dot_period, 1, "Print '.' every so many batches");
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P_DEFINE_bool(use_old_updater, false, "Use the old RemoteParameterUpdater");
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P_DECLARE_int32(num_passes);
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P_DECLARE_bool(local);
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namespace paddle {
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std::unique_ptr<TrainerInternalConfig> TrainerInternalConfig::createFromMode(
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GradientMachine::CreateMode mode) {
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auto config = new TrainerInternalConfig();
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config->mode = mode;
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config->local = FLAGS_local;
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config->use_gpu = FLAGS_use_gpu;
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config->trainer_count = FLAGS_trainer_count;
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config->show_param_stats_period = FLAGS_show_parameter_stats_period;
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config->trainer_id = FLAGS_trainer_id;
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config->log_period = FLAGS_log_period;
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config->dot_period = FLAGS_dot_period;
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config->num_passes = FLAGS_num_passes;
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config->use_old_updater = FLAGS_use_old_updater;
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config->loadsave_parameters_in_pserver = FLAGS_loadsave_parameters_in_pserver;
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return std::unique_ptr<TrainerInternalConfig>(config);
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}
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} // namespace paddle
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