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#include "cwrapper.h"
#include "nerv/lib/matrix/mmatrix.h"
#include <stdio.h>
MContext context;
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, NULL, 1, &context);
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), NULL,
1, &context);
print_nerv_matrix(lab_utter);
return 0;
}
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