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authorTed Yin <[email protected]>2015-10-12 09:26:53 +0800
committerTed Yin <[email protected]>2015-10-12 09:26:53 +0800
commit0dba4c998fcccb4bae29582b7d8be94de476dd0b (patch)
treeb8529d4f0c2ea0a91ee4b7a4b21a14c0616fc081 /kaldi_seq/tools
parent7acd14eca701deaffb2d16262528da37ee23263a (diff)
parente39fb231f64ddc8b79a6eb5434f529aadb3165fe (diff)
Merge pull request #6 from yimmon/master
add kaldi_seq
Diffstat (limited to 'kaldi_seq/tools')
-rw-r--r--kaldi_seq/tools/net_kaldi2nerv.cpp85
-rw-r--r--kaldi_seq/tools/transf_kaldi2nerv.cpp106
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;
+}