From e56c91ff6eecdb1663bb1722a4081ef2f190e9c0 Mon Sep 17 00:00:00 2001
From: uphantom <dengwei.2011@gmail.com>
Date: Fri, 28 Aug 2015 18:37:12 +0800
Subject: suport multi-thread reader

---
 htk_io/tools/tnet_to_nerv.cpp | 78 ++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 70 insertions(+), 8 deletions(-)

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

diff --git a/htk_io/tools/tnet_to_nerv.cpp b/htk_io/tools/tnet_to_nerv.cpp
index a779a25..f96781a 100644
--- a/htk_io/tools/tnet_to_nerv.cpp
+++ b/htk_io/tools/tnet_to_nerv.cpp
@@ -2,14 +2,22 @@
 #include <fstream>
 #include <string>
 #include <cstring>
-#include <cstdlib>
+#include <stdlib.h>
 char token[1024];
 char output[1024];
 double **mat;
 int main(int argc, char **argv) {
+
+    if (argc != 3)
+    {
+	printf("%s tnet.model.in nerv.model.out\n", argv[0]);
+    }
+
     std::ofstream fout;
-    fout.open(argv[1]);
-    int cnt = 0;
+    freopen(argv[1], "r", stdin);
+    fout.open(argv[2]);
+    int cnt = 0, bias = 1, win = 1;
+    long length = 0, base = 0;
     while (scanf("%s", token) != EOF)
     {
         int nrow, ncol;
@@ -19,13 +27,13 @@ int main(int argc, char **argv) {
             scanf("%d %d", &ncol, &nrow);
             scanf("%s %d %d", token, &ncol, &nrow);
             printf("%d %d\n", nrow, ncol);
-            mat = (double **)malloc(nrow * sizeof(double *));
+	    mat = (double **)malloc(nrow * sizeof(double *));
             for (i = 0; i < nrow; i++)
                 mat[i] = (double *)malloc(ncol * sizeof(double));
             for (j = 0; j < ncol; j++)
                 for (i = 0; i < nrow; i++)
                     scanf("%lf", mat[i] + j);
-            long base = fout.tellp();
+            base = fout.tellp();
             sprintf(output, "%16d", 0);
             fout << output;
             sprintf(output, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
@@ -38,10 +46,8 @@ int main(int argc, char **argv) {
                 for (j = 0; j < ncol; j++)
                     fout << mat[i][j] << " ";
                 fout << std::endl;
-                free(mat[i]);
             }
-            free(mat);
-            long length = fout.tellp() - base;
+            length = fout.tellp() - base;
             fout.seekp(base);
             sprintf(output, "[%13lu]\n", length);
             fout << output;
@@ -69,6 +75,62 @@ int main(int argc, char **argv) {
                 cnt++;
             }
         }
+	else if (strcmp(token, "<bias>") == 0)
+	{
+		scanf("%d %d", &ncol, &nrow);
+		scanf("%s %d", token, &ncol);	
+		base = fout.tellp();
+		nrow = 1;	
+		mat = (double **)malloc(nrow * sizeof(double *));
+            	for (i = 0; i < nrow; i++)
+                	mat[i] = (double *)malloc(ncol * sizeof(double));
+            	for (j = 0; j < ncol; j++)
+                	for (i = 0; i < nrow; i++)
+                    		scanf("%lf", mat[i] + j);
+                sprintf(output, "%16d", 0);
+                fout << output;
+                sprintf(output, "{type=\"nerv.MatrixParam\",id=\"bias%d\"}\n",bias);
+                fout << output;
+                sprintf(output, "1 %d\n", ncol);
+                fout << output;
+                for (j = 0; j < ncol; j++)
+                    fout << mat[0][j] << " ";
+                fout << std::endl;
+                length = fout.tellp() - base;
+                fout.seekp(base);
+                sprintf(output, "[%13lu]\n", length);
+                fout << output;
+                fout.seekp(0, std::ios_base::end);
+                bias++;
+	}
+	else if (strcmp(token, "<window>") == 0)
+        {
+                scanf("%d %d", &ncol, &nrow);
+                scanf("%s %d", token, &ncol);
+                base = fout.tellp();
+		nrow = 1;
+                mat = (double **)malloc(nrow * sizeof(double *));
+                for (i = 0; i < nrow; i++)
+                        mat[i] = (double *)malloc(ncol * sizeof(double));
+                for (j = 0; j < ncol; j++)
+                        for (i = 0; i < nrow; i++)
+                                scanf("%lf", mat[i] + j);
+                sprintf(output, "%16d", 0);
+                fout << output;
+                sprintf(output, "{type=\"nerv.MatrixParam\",id=\"window%d\"}\n",win);
+                fout << output;
+                sprintf(output, "1 %d\n", ncol);
+                fout << output;
+                for (j = 0; j < ncol; j++)
+                    fout << mat[0][j] << " ";
+                fout << std::endl;
+                length = fout.tellp() - base;
+                fout.seekp(base);
+                sprintf(output, "[%13lu]\n", length);
+                fout << output;
+                fout.seekp(0, std::ios_base::end);
+                win++;
+        }
     }
     return 0;
 }
-- 
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