C++ (Cpp) load_go_moves Examples

Example #1

File: go.c Project: Zumbalamambo/darknetFaceID

void valid_go(char *cfgfile, char *weightfile, int multi)
{
    srand(time(0));
    char *base = basecfg(cfgfile);
    printf("%s\n", base);
    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    set_batch_network(&net, 1);
    printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);

    float *board = calloc(19*19, sizeof(float));
    float *move = calloc(19*19, sizeof(float));
    moves m = load_go_moves("/home/pjreddie/backup/go.test");

    int N = m.n;
    int i;
    int correct = 0;
    for(i = 0; i <N; ++i){
        char *b = m.data[i];
        int row = b[0];
        int col = b[1];
        int truth = col + 19*row;
        string_to_board(b+2, board);
        predict_move(net, board, move, multi);
        int index = max_index(move, 19*19);
        if(index == truth) ++correct;
        printf("%d Accuracy %f\n", i, (float) correct/(i+1));
    }
}

Example #2

File: go.c Project: AlessioTonioni/darknet

void train_go(char *cfgfile, char *weightfile)
{
    data_seed = time(0);
    srand(time(0));
    float avg_loss = -1;
    char *base = basecfg(cfgfile);
    printf("%s\n", base);
    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);

    char *backup_directory = "/home/pjreddie/backup/";

    char buff[256];
    float *board = calloc(19*19*net.batch, sizeof(float));
    float *move = calloc(19*19*net.batch, sizeof(float));
    moves m = load_go_moves("/home/pjreddie/go.train");
    //moves m = load_go_moves("games.txt");

    int N = m.n;
    int epoch = (*net.seen)/N;
    while(get_current_batch(net) < net.max_batches || net.max_batches == 0){
        clock_t time=clock();

        random_go_moves(m, board, move, net.batch);
        float loss = train_network_datum(net, board, move) / net.batch;
        if(avg_loss == -1) avg_loss = loss;
        avg_loss = avg_loss*.95 + loss*.05;
        printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen);
        if(*net.seen/N > epoch){
            epoch = *net.seen/N;
            char buff[256];
            sprintf(buff, "%s/%s_%d.weights", backup_directory,base, epoch);
            save_weights(net, buff);

        }
        if(get_current_batch(net)%100 == 0){
            char buff[256];
            sprintf(buff, "%s/%s.backup",backup_directory,base);
            save_weights(net, buff);
        }
        if(get_current_batch(net)%10000 == 0){
            char buff[256];
            sprintf(buff, "%s/%s_%d.backup",backup_directory,base,get_current_batch(net));
            save_weights(net, buff);
        }
    }
    sprintf(buff, "%s/%s.weights", backup_directory, base);
    save_weights(net, buff);

    free_network(net);
    free(base);
}