From fda1c8cf07c5130aff53775454a5f2cfc8f5d2e0 Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Mon, 29 Feb 2016 14:38:33 +0800
Subject: save workspace

---
 kaldi_io/tools/kaldi_to_nerv.cpp | 32 ++++++++++++++++++--------------
 1 file changed, 18 insertions(+), 14 deletions(-)

(limited to 'kaldi_io/tools/kaldi_to_nerv.cpp')

diff --git a/kaldi_io/tools/kaldi_to_nerv.cpp b/kaldi_io/tools/kaldi_to_nerv.cpp
index 1edb0f2..0282b7c 100644
--- a/kaldi_io/tools/kaldi_to_nerv.cpp
+++ b/kaldi_io/tools/kaldi_to_nerv.cpp
@@ -8,26 +8,30 @@ char token[1024];
 char output[1024];
 double mat[4096][4096];
 int main(int argc, char **argv) {
+    FILE *fin;
     std::ofstream fout;
-    fout.open(argv[1]);
+    assert(argc == 3);
+    fin = fopen(argv[1], "r");
+    fout.open(argv[2]);
+    assert(fin != NULL);
     int cnt = 0;
     bool shift;
-    while (scanf("%s", token) != EOF)
+    while (fscanf(fin, "%s", token) != EOF)
     {
         int nrow, ncol;
         int i, j;
         if (strcmp(token, "<AffineTransform>") == 0)
         {
             double lrate, blrate, mnorm;
-            scanf("%d %d", &ncol, &nrow);
-            scanf("%s %lf %s %lf %s %lf",
+            fscanf(fin, "%d %d", &ncol, &nrow);
+            fscanf(fin, "%s %lf %s %lf %s %lf",
                     token, &lrate, token, &blrate, token, &mnorm);
-            scanf("%s", token);
+            fscanf(fin, "%s", token);
             assert(*token == '[');
             printf("%d %d\n", nrow, ncol);
             for (j = 0; j < ncol; j++)
                 for (i = 0; i < nrow; i++)
-                    scanf("%lf", mat[i] + j);
+                    fscanf(fin, "%lf", mat[i] + j);
             long base = fout.tellp();
             sprintf(output, "%16d", 0);
             fout << output;
@@ -47,13 +51,13 @@ int main(int argc, char **argv) {
             sprintf(output, "[%13lu]\n", length);
             fout << output;
             fout.seekp(0, std::ios_base::end);
-            scanf("%s", token);
+            fscanf(fin, "%s", token);
             assert(*token == ']');
-            if (scanf("%s", token) == 1 && *token == '[')
+            if (fscanf(fin, "%s", token) == 1 && *token == '[')
             {
                 base = fout.tellp();
                 for (j = 0; j < ncol; j++)
-                    scanf("%lf", mat[0] + j);
+                    fscanf(fin, "%lf", mat[0] + j);
                 sprintf(output, "%16d", 0);
                 fout << output;
                 sprintf(output, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
@@ -76,14 +80,14 @@ int main(int argc, char **argv) {
                 strcmp(token, "<Rescale>") == 0)
         {
             double lrate, blrate, mnorm;
-            scanf("%d %d", &ncol, &ncol);
-            scanf("%s %lf",
+            fscanf(fin, "%d %d", &ncol, &ncol);
+            fscanf(fin, "%s %lf",
                     token, &lrate);
-            scanf("%s", token);
+            fscanf(fin, "%s", token);
             assert(*token == '[');
             printf("%d\n", ncol);
             for (j = 0; j < ncol; j++)
-                    scanf("%lf", mat[0] + j);
+                    fscanf(fin, "%lf", mat[0] + j);
             long base = fout.tellp();
             sprintf(output, "%16d", 0);
             fout << output;
@@ -101,7 +105,7 @@ int main(int argc, char **argv) {
             sprintf(output, "[%13lu]\n", length);
             fout << output;
             fout.seekp(0, std::ios_base::end);
-            scanf("%s", token);
+            fscanf(fin, "%s", token);
             assert(*token == ']');
         }
     }
-- 
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