C++ (Cpp) SolverState::learned_net Examples

Example #1

File: feedback_solver.cpp Project: liuxianming/caffe_feedback

void FeedbackSolver<Dtype>::Restore(const char* state_file) {
  SolverState state;
  NetParameter net_param;
  ReadProtoFromBinaryFile(state_file, &state);
  if (state.has_learned_net()) {
	  LOG(INFO)<<"Copy trained model from "<<state.learned_net();
    ReadProtoFromBinaryFile(state.learned_net().c_str(), &net_param);
    net_->CopyTrainedLayersFrom(net_param);
  }
  iter_ = state.iter();
  RestoreSolverState(state);
}

Example #2

File: solver.cpp Project: madiken/skaffe_private_old

void Solver<Dtype>::Restore(const char* state_file) {
  SolverState state;
  NetParameter net_param;
  ReadProtoFromBinaryFile(state_file, &state);
  if (state.has_learned_net()) {
    ReadNetParamsFromBinaryFileOrDie(state.learned_net().c_str(), &net_param);
    net_->CopyTrainedLayersFrom(net_param);
  }
  iter_ = state.iter();
  current_step_ = state.current_step();
  RestoreSolverState(state);
}

Example #3

File: sgd_solver.cpp Project: fossabot/caffe

void SGDSolver<Dtype>::RestoreSolverStateFromBinaryProto(
    const string& state_file) {
  SolverState state;
  ReadProtoFromBinaryFile(state_file, &state);
  this->iter_ = state.iter();
  if (state.has_learned_net()) {
    NetParameter net_param;
    ReadNetParamsFromBinaryFileOrDie(state.learned_net().c_str(), &net_param);
    this->net_->CopyTrainedLayersFrom(net_param);
  }
  this->current_step_ = state.current_step();
  CHECK_EQ(state.history_size(), history_.size())
      << "Incorrect length of history blobs.";
  LOG(INFO) << "SGDSolver: restoring history";
  for (int i = 0; i < history_.size(); ++i) {
    history_[i]->FromProto(state.history(i));
  }
}