...

1 files changed, 8 insertions, 7 deletions

diff --git a/tnet_io/cwrapper.cpp b/tnet_io/cwrapper.cpp
index df4bdef..e82f3f8 100644
--- a/tnet_io/cwrapper.cpp
+++ b/tnet_io/cwrapper.cpp
@@ -2,6 +2,7 @@
 #include "KaldiLib/Labels.h"
 #include "KaldiLib/Common.h"
 #include "KaldiLib/UserInterface.h"
+#include "../../common.h"
 #include <string>
 #define SNAME "TNET"
 
@@ -9,7 +10,7 @@ extern "C" {
 #include "cwrapper.h"
 #include "string.h"
 
-    extern Matrix *nerv_matrix_host_float_new_(long nrow, long ncol);
+    extern Matrix *nerv_matrix_host_float_new_(lua_State *L, long nrow, long ncol);
 
     struct TNetFeatureRepo {
         TNet::FeatureRepository feature_repo;
@@ -33,7 +34,6 @@ extern "C" {
     TNetFeatureRepo *tnet_feature_repo_new(const char *p_script, const char *config, int context) {
         TNetFeatureRepo *repo = new TNetFeatureRepo();
         repo->ui.ReadConfig(config);
-        fprintf(stderr, "read config\n");
         repo->swap_features = !repo->ui.GetBool(SNAME":NATURALREADORDER", TNet::IsBigEndian());
         /* load defaults */
         repo->target_kind = repo->ui.GetFeatureParams(&repo->deriv_order,
@@ -53,14 +53,14 @@ extern "C" {
         return repo;
     }
 
-    Matrix *tnet_feature_repo_read_utterance(TNetFeatureRepo *repo) {
+    Matrix *tnet_feature_repo_read_utterance(TNetFeatureRepo *repo, lua_State *L) {
         Matrix *mat;                    /* nerv implementation */
         repo->feature_repo.ReadFullMatrix(repo->feats_host);
         std::string utter_str = repo->feature_repo.Current().Logical();
         repo->feats_host.CheckData(utter_str);
         int n = repo->feats_host.Rows();
         int m = repo->feats_host.Cols();
-        mat = nerv_matrix_host_float_new_(n, m);
+        mat = nerv_matrix_host_float_new_(L, n, m);
         size_t stride = mat->stride;
         fprintf(stderr, "[tnet] feature: %s %d %d\n", utter_str.c_str(), n, m);
         for (int i = 0; i < n; i++)
@@ -68,7 +68,7 @@ extern "C" {
             float *row = repo->feats_host.pRowData(i);
             float *nerv_row = (float *)((char *)mat->data.f + i * stride);
             /* use memmove to copy the row, since KaldiLib uses compact storage */
-             memmove(nerv_row, row, sizeof(float) * m);
+            memmove(nerv_row, row, sizeof(float) * m);
         }
         return mat;
     }
@@ -110,14 +110,15 @@ extern "C" {
     Matrix *tnet_label_repo_read_utterance(TNetLabelRepo *repo,
                                             size_t frames,
                                             size_t sample_rate,
-                                            const char *tag) {
+                                            const char *tag,
+                                            lua_State *L) {
         std::vector<TNet::Matrix<float> >  labs_hosts; /* KaldiLib implementation */
         Matrix *mat;
         repo->label_repo.GenDesiredMatrixExt(labs_hosts, frames,
                                             sample_rate, tag);
         int n = labs_hosts[0].Rows();
         int m = labs_hosts[0].Cols();
-        mat = nerv_matrix_host_float_new_(n, m);
+        mat = nerv_matrix_host_float_new_(L, n, m);
         size_t stride = mat->stride;
         fprintf(stderr, "[tnet] label: %s %d %d\n", tag, n, m);
         for (int i = 0; i < n; i++)