MMI support

1 files changed, 85 insertions, 0 deletions

diff --git a/kaldi_seq/tools/net_kaldi2nerv.cpp b/kaldi_seq/tools/net_kaldi2nerv.cpp
new file mode 100644
index 0000000..bbac3db
--- /dev/null
+++ b/kaldi_seq/tools/net_kaldi2nerv.cpp
@@ -0,0 +1,85 @@
+#include <iostream>
+#include <cstdio>
+#include <cstring>
+#include <cstdlib>
+#include <cassert>
+using namespace std;
+
+const char fmt[] = "[%013d]\n";
+
+int main(int argc, char *argv[])
+{
+    if(argc < 3){
+        printf("Usage: %s kaldi_nnet nerv_output\n", argv[0]);
+        exit(0);
+    }
+
+    FILE *fin = fopen(argv[1], "r");
+    FILE *fout = fopen(argv[2], "w");
+
+    if(!fin || !fout){
+        printf("fopen error\n");
+        exit(1);
+    }
+
+    char buf[1024], tag[64];
+    int a, b;
+    char ***arr;
+    long start, size;
+    int affine_ltp = 0, affine_bp = 0;
+
+    while(fgets(buf, 1024, fin)){
+        if(sscanf(buf, "%s%d%d", tag, &b, &a) == 3 && strcmp(tag, "<AffineTransform>") == 0){
+            fgets(buf, 1024, fin);
+            arr = new char**[a];
+            for(int i = 0; i < a; i++)
+                arr[i] = new char*[b];
+            for(int j = 0; j < b; j++)
+                for(int i = 0; i < a; i++){
+                    arr[i][j] = new char[16];
+                    fscanf(fin, "%s", arr[i][j]);
+                }
+
+            start = ftell(fout);
+            fprintf(fout, fmt, 0);
+            fprintf(fout, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n", affine_ltp++);
+            fprintf(fout, "%d %d\n", a, b);
+            for(int i = 0; i < a; i++){
+                for(int j = 0; j < b; j++){
+                    fprintf(fout, "%s ", arr[i][j]);
+                    delete [] arr[i][j];
+                }
+                fprintf(fout, "\n");
+                delete [] arr[i];
+            }
+            delete [] arr;
+
+            size = ftell(fout) - start;
+            fseek(fout, start, SEEK_SET);
+            fprintf(fout, fmt, (int)size);
+            fseek(fout, 0, SEEK_END);
+
+            fgets(buf, 1024, fin);
+            fscanf(fin, "%*s");
+
+            start = ftell(fout);
+            fprintf(fout, fmt, 0);
+            fprintf(fout, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n", affine_bp++);
+            fprintf(fout, "%d %d\n", 1, b);
+            for(int i = 0; i < b; i++){
+                fscanf(fin, "%s", buf);
+                fprintf(fout, "%s ", buf);
+            }
+            fputs("\n", fout);
+            size = ftell(fout) - start;
+            fseek(fout, start, SEEK_SET);
+            fprintf(fout, fmt, (int)size);
+            fseek(fout, 0, SEEK_END);
+        }
+    }
+
+    fclose(fin);
+    fclose(fout);
+
+    return 0;
+}