From 93eb84aca23526959b76401fd6509f151a589e9a Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Sun, 13 Mar 2016 16:18:36 +0800
Subject: add TNet tutorial; support converting global transf from TNet format

---
 htk_io/tools/tnet_to_nerv.c | 57 ---------------------------------------------
 1 file changed, 57 deletions(-)
 delete mode 100644 htk_io/tools/tnet_to_nerv.c

(limited to 'htk_io/tools/tnet_to_nerv.c')

diff --git a/htk_io/tools/tnet_to_nerv.c b/htk_io/tools/tnet_to_nerv.c
deleted file mode 100644
index 5774819..0000000
--- a/htk_io/tools/tnet_to_nerv.c
+++ /dev/null
@@ -1,57 +0,0 @@
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-char token[1024];
-double mat[4096][4096];
-int main() {
-    FILE *fout = fopen("converted.nerv", "w");
-    int cnt = 0;
-    while (scanf("%s", token) != EOF)
-    {
-        int nrow, ncol;
-        int i, j;
-        if (strcmp(token, "<biasedlinearity>") == 0)
-        {
-            scanf("%d %d", &ncol, &nrow);
-            scanf("%s %d %d", token, &ncol, &nrow);
-            printf("%d %d\n", nrow, ncol);
-            for (j = 0; j < ncol; j++)
-                for (i = 0; i < nrow; i++)
-                    scanf("%lf", mat[i] + j);
-            off_t base = ftello(fout);
-            fprintf(fout, "%16d", 0);
-            fprintf(fout, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
-                            cnt);
-            fprintf(fout, "%d %d\n", nrow, ncol);
-            for (i = 0; i < nrow; i++)
-            {
-                for (j = 0; j < ncol; j++)
-                    fprintf(fout, "%.8f ", mat[i][j]);
-                fprintf(fout, "\n");
-            }
-            size_t length = ftello(fout) - base;
-            fseeko(fout, base, SEEK_SET);
-            fprintf(fout, "[%13lu]\n", length);
-            fseeko(fout, 0, SEEK_END);
-            if (scanf("%s %d", token, &ncol) == 2 && *token == 'v')
-            {
-                base = ftello(fout);
-                for (j = 0; j < ncol; j++)
-                    scanf("%lf", mat[0] + j);
-                fprintf(fout, "%16d", 0);
-                fprintf(fout, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
-                        cnt);
-                fprintf(fout, "1 %d\n", ncol);
-                for (j = 0; j < ncol; j++)
-                    fprintf(fout, "%.8f ", mat[0][j]);
-                fprintf(fout, "\n");
-                length = ftello(fout) - base;
-                fseeko(fout, base, SEEK_SET);
-                fprintf(fout, "[%13lu]\n", length);
-                cnt++;
-                fseeko(fout, 0, SEEK_END);
-            }
-        }
-    }
-    return 0;
-}
-- 
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