path: root/tnet_io/test.c

#include "cwrapper.h"
#include <stdio.h>

extern "C" {
    void print_nerv_matrix(Matrix *mat) {
        int n = mat->nrow;
        int m = mat->ncol;
        int i, j;
        size_t stride = mat->stride;
        for (i = 0; i < n; i++)
        {

            float *nerv_row = (float *)((char *)mat->data.f + i * stride);
            for (j = 0; j < m; j++)
                fprintf(stderr, "%.8f ", nerv_row[j]);
            fprintf(stderr, "\n");
        }
    }

    int main() {
        fprintf(stderr, "init repo\n");
        TNetFeatureRepo *feat_repo = tnet_feature_repo_new(
                "/slfs1/users/mfy43/swb_ivec/train_bp.scp",
                "/slfs1/users/mfy43/swb_ivec/plp_0_d_a.conf", 5);
        Matrix *feat_utter;
        feat_utter = tnet_feature_repo_read_utterance(feat_repo);

        TNetLabelRepo *lab_repo = tnet_label_repo_new(
                "/slfs1/users/mfy43/swb_ivec/ref.mlf",
                "map",
                "/slfs1/users/mfy43/swb_ivec/dict",
                "*/",
                "lab");
        Matrix *lab_utter = tnet_label_repo_read_utterance(lab_repo,
                feat_utter->nrow - 5 * 2,
                tnet_feature_repo_current_samplerate(feat_repo),
                tnet_feature_repo_current_tag(feat_repo));
        print_nerv_matrix(lab_utter);
        return 0;
    }
}