parameter_optimizer.cc

#include <glog/logging.h>
#include "adadelta_optimizer.h"
#include "adagrad_optimizer.h"
#include "adam_optimizer.h"
#include "lr_policy.h"
#include "sgd_optimizer.h"

#include "parameter_optimizer.h"

namespace paddle {
namespace optimizer {

ParameterOptimizer *ParameterOptimizer::Create(const std::string &config_proto,
                                               Tensor *parameter) {
  paddle::OptimizerConfig config;
  CHECK(config.ParseFromString(config_proto) == true)
      << "failed parse optimizer config";
  auto select_lr_policy = [=](const OptimizerConfig &config) -> LrPolicy * {
    if (config.lr_policy() == OptimizerConfig::Const)
      return new ConstLr(config.const_lr().learning_rate());
    if (config.lr_policy() == OptimizerConfig::Linear)
      return new LinearLr(config.linear_lr().learning_rate(),
                          config.linear_lr().lr_decay_a(),
                          config.linear_lr().lr_decay_b());
    // default
    LOG(WARNING) << " have not select any LrPolicy. use ConstLr in default";
    return new ConstLr(0.1);
  };

  LrPolicy *lr = select_lr_policy(config);
  auto select_optimizer = [=](
      Tensor *parameter,
      const OptimizerConfig &config) -> ParameterOptimizer * {
    if (config.optimizer() == OptimizerConfig::SGD) {
      return new SGDOptimizer(parameter,
                              lr,
                              config.sgd().momentum(),
                              config.sgd().decay(),
                              config.sgd().nesterov());
    }
    if (config.optimizer() == OptimizerConfig::Adadelta) {
      return new AdadeltaOptimizer(parameter,
                                   lr,
                                   config.adadelta().rho(),
                                   config.adadelta().epsilon(),
                                   config.adadelta().decay());
    }
    if (config.optimizer() == OptimizerConfig::Adagrad) {
      return new AdagradOptimizer(
          parameter, lr, config.adagrad().epsilon(), config.adagrad().decay());
    }
    if (config.optimizer() == OptimizerConfig::Adam) {
      return new AdamOptimizer(parameter,
                               lr,
                               config.adam().beta_1(),
                               config.adam().beta_2(),
                               config.adam().epsilon(),
                               config.adam().decay());
    }
    // default
    LOG(WARNING)
        << "have not select any Optimizer. use SGDOptimizer in default";
    return new SGDOptimizer(parameter, lr, 0.0, 0.0, false);
  };
  return select_optimizer(parameter, config);
}

float *ParameterOptimizer::get_weight(int *param_size) const {
  *param_size = (int)parameter_->size();
  return parameter_->get_buffer();
}

}  // namespace optimizer
}  // namespace paddle