本文整理汇总了C++中SolverState::set_learned_net方法的典型用法代码示例。如果您正苦于以下问题：C++ SolverState::set_learned_net方法的具体用法？C++ SolverState::set_learned_net怎么用？C++ SolverState::set_learned_net使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类SolverState的用法示例。
在下文中一共展示了SolverState::set_learned_net方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: LOG
void SGDSolver<Dtype>::SnapshotSolverStateToBinaryProto(
const string& model_filename) {
SolverState state;
state.set_iter(this->iter_);
state.set_learned_net(model_filename);
state.set_current_step(this->current_step_);
state.clear_history();
for (int i = 0; i < history_.size(); ++i) {
// Add history
BlobProto* history_blob = state.add_history();
history_[i]->ToProto(history_blob);
}
string snapshot_filename = Solver<Dtype>::SnapshotFilename(".solverstate");
LOG(INFO)
<< "Snapshotting solver state to binary proto file " << snapshot_filename;
WriteProtoToBinaryFile(state, snapshot_filename.c_str());
}示例2: filename
void Solver<Dtype>::Snapshot() {
NetParameter net_param;
// For intermediate results, we will also dump the gradient values.
net_->ToProto(&net_param, param_.snapshot_diff());
string filename(param_.snapshot_prefix());
char iter_str_buffer[20];
sprintf(iter_str_buffer, "_iter_%d", iter_);
filename += iter_str_buffer;
LOG(INFO)<< "Snapshotting to " << filename;
WriteProtoToBinaryFile(net_param, filename.c_str());
SolverState state;
SnapshotSolverState(&state);
state.set_iter(iter_);
state.set_learned_net(filename);
filename += ".solverstate";
LOG(INFO)<< "Snapshotting solver state to " << filename;
WriteProtoToBinaryFile(state, filename.c_str());
}示例3: filename
void Solver<Dtype>::Snapshot() {
NetParameter net_param;
// For intermediate results, we will also dump the gradient values.
net_->ToProto(&net_param, param_.snapshot_diff());
string filename(param_.snapshot_prefix());
string model_filename, snapshot_filename;
const int kBufferSize = 20;
char iter_str_buffer[kBufferSize];
snprintf(iter_str_buffer, kBufferSize, "_iter_%d", iter_);
filename += iter_str_buffer;
model_filename = filename + ".caffemodel";
LOG(INFO) << "Snapshotting to " << model_filename;
WriteProtoToBinaryFile(net_param, model_filename.c_str());
SolverState state;
SnapshotSolverState(&state);
state.set_iter(iter_);
state.set_learned_net(model_filename);
snapshot_filename = filename + ".solverstate";
LOG(INFO) << "Snapshotting solver state to " << snapshot_filename;
WriteProtoToBinaryFile(state, snapshot_filename.c_str());
}