MMI support

2 files changed, 191 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;
+}
diff --git a/kaldi_seq/tools/transf_kaldi2nerv.cpp b/kaldi_seq/tools/transf_kaldi2nerv.cpp
new file mode 100644
index 0000000..525bcda
--- /dev/null
+++ b/kaldi_seq/tools/transf_kaldi2nerv.cpp
@@ -0,0 +1,106 @@
+#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_transf nerv_output\n", argv[0]);
+        exit(1);
+    }
+
+    FILE *fin = fopen(argv[1], "r");
+    FILE *fout = fopen(argv[2], "w");
+    if(!fin || !fout){
+        puts("fopen error");
+        exit(1);
+    }
+
+    char buf[1024], tag[64];
+    int a, b;
+    int size_window, size_bias;
+    char **window, **bias;
+
+    while(fgets(buf, sizeof(buf), fin))
+    {
+        if(sscanf(buf, "%s%d%d", tag, &a, &b) == 3){
+            if(strcmp(tag, "<AddShift>") == 0){
+                assert(a == b);
+                size_bias = a;
+                fscanf(fin, "%*s%*s%*s");
+                bias = new char*[size_bias];
+                for(int i = 0; i < size_bias; i++){
+                    bias[i] = new char[16];
+                    fscanf(fin, "%s", bias[i]);
+                }
+            } else if(strcmp(tag, "<Rescale>") == 0){
+                assert(a == b);
+                size_window = a;
+                fscanf(fin, "%*s%*s%*s");
+                window = new char*[size_window];
+                for(int i = 0; i < size_window; i++){
+                    window[i] = new char[16];
+                    fscanf(fin, "%s", window[i]);
+                }
+            }
+        }
+    }
+
+    long start = ftell(fout), size;
+    fprintf(fout, fmt, 0);
+    fprintf(fout, "{id = \"bias1\", type = \"nerv.MatrixParam\"}\n");
+    fprintf(fout, "1 %d\n", size_bias);
+    for(int i = 0; i<size_bias; i++)
+        fprintf(fout, "0 ");
+    fputs("\n", fout);
+    size = ftell(fout) - start;
+    fseek(fout, start, SEEK_SET);
+    fprintf(fout, fmt, (int)size);
+    fseek(fout, 0, SEEK_END);
+
+    start = ftell(fout);
+    fprintf(fout, fmt, 0);
+    fprintf(fout, "{id = \"window1\", type = \"nerv.MatrixParam\"}\n");
+    fprintf(fout, "1 %d\n", size_window);
+    for(int i = 0; i<size_window; i++)
+        fprintf(fout, "1 ");
+    fputs("\n", fout);
+    size = ftell(fout) - start;
+    fseek(fout, start, SEEK_SET);
+    fprintf(fout, fmt, (int)size);
+    fseek(fout, 0, SEEK_END);
+
+    start = ftell(fout);
+    fprintf(fout, fmt, 0);
+    fprintf(fout, "{id = \"bias2\", type = \"nerv.MatrixParam\"}\n");
+    fprintf(fout, "1 %d\n", size_bias);
+    for(int i = 0; i<size_bias; i++)
+        fprintf(fout, "%s ", bias[i]);
+    fputs("\n", fout);
+    size = ftell(fout) - start;
+    fseek(fout, start, SEEK_SET);
+    fprintf(fout, fmt, (int)size);
+    fseek(fout, 0, SEEK_END);
+
+    start = ftell(fout);
+    fprintf(fout, fmt, 0);
+    fprintf(fout, "{id = \"window2\", type = \"nerv.MatrixParam\"}\n");
+    fprintf(fout, "1 %d\n", size_window);
+    for(int i = 0; i<size_window; i++)
+        fprintf(fout, "%s ", window[i]);
+    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;
+}