C++ (Cpp) InitTrainNetの例

コード例 #1

ファイル: solver.cpp プロジェクト: VikingMew/dec

void Solver<Dtype>::Init(const SolverParameter& param) {
  LOG(INFO) << "Initializing solver from parameters: " << std::endl
            << param.DebugString();
  param_ = param;
  if (param_.random_seed() >= 0) {
    Caffe::set_random_seed(param_.random_seed());
  }
  // Scaffolding code
  InitTrainNet();
  InitTestNets();
  LOG(INFO) << "Solver scaffolding done.";
}

コード例 #2

ファイル: solver.cpp プロジェクト: madiken/skaffe_private_old

void Solver<Dtype>::Init(const SolverParameter& param) {
  LOG(INFO) << "Initializing solver from parameters: " << std::endl
            << param.DebugString();
  param_ = param;
  CHECK_GE(param_.average_loss(), 1) << "average_loss should be non-negative.";
  if (param_.random_seed() >= 0) {
    Caffe::set_random_seed(param_.random_seed());
  }
  // Scaffolding code
  InitTrainNet();
  InitTestNets();
  LOG(INFO) << "Solver scaffolding done.";
  iter_ = 0;
  current_step_ = 0;
}

コード例 #3

ファイル: solver.cpp プロジェクト: kovibalu/caffe-cnntools

void Solver<Dtype>::Init(const SolverParameter& param) {
  CHECK(Caffe::root_solver() || root_solver_)
      << "root_solver_ needs to be set for all non-root solvers";
  LOG_IF(INFO, Caffe::root_solver()) << "Initializing solver from parameters: "
    << std::endl << param.DebugString();
  param_ = param;
  CHECK_GE(param_.average_loss(), 1) << "average_loss should be non-negative.";
  CheckSnapshotWritePermissions();
  if (Caffe::root_solver() && param_.random_seed() >= 0) {
    Caffe::set_random_seed(param_.random_seed());
  }
  // Scaffolding code
  InitTrainNet();
  if (Caffe::root_solver()) {
    InitTestNets();
    LOG(INFO) << "Solver scaffolding done.";
  }
  iter_ = 0;
  current_step_ = 0;
}

コード例 #4

ファイル: solver.cpp プロジェクト: Caffe-MPI/Caffe-MPI.github.io

void Solver::Init() {
  LOG(INFO) << "Solver data type: " << Type_Name(data_type_);
  CHECK(Caffe::root_solver() || root_solver_)
      << "root_solver_ needs to be set for all non-root solvers";
  LOG_IF(INFO, Caffe::root_solver()) << "Initializing solver from parameters: "
    << std::endl << param_.DebugString();

  CHECK_GE(param_.average_loss(), 1) << "average_loss should be non-negative.";
  CheckSnapshotWritePermissions();
  if (Caffe::root_solver()) {  // P2PSync does other solvers if they exist
    Caffe::set_root_seed(static_cast<uint64_t>(param_.random_seed()));
  }
  // Scaffolding code
  InitTrainNet();
  InitTestNets();
  LOG(INFO) << "Solver scaffolding done.";
  iter_ = 0;
  total_lapse_ = 0.F;
  current_step_ = 0;
}