diff options
author | Determinant <[email protected]> | 2015-08-14 11:51:42 +0800 |
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committer | Determinant <[email protected]> | 2015-08-14 11:51:42 +0800 |
commit | 96a32415ab43377cf1575bd3f4f2980f58028209 (patch) | |
tree | 30a2d92d73e8f40ac87b79f6f56e227bfc4eea6e /kaldi_io/tools | |
parent | c177a7549bd90670af4b29fa813ddea32cfe0f78 (diff) |
add implementation for kaldi io (by ymz)
Diffstat (limited to 'kaldi_io/tools')
-rw-r--r-- | kaldi_io/tools/kaldi_to_nerv.cpp | 109 |
1 files changed, 109 insertions, 0 deletions
diff --git a/kaldi_io/tools/kaldi_to_nerv.cpp b/kaldi_io/tools/kaldi_to_nerv.cpp new file mode 100644 index 0000000..1edb0f2 --- /dev/null +++ b/kaldi_io/tools/kaldi_to_nerv.cpp @@ -0,0 +1,109 @@ +#include <cstdio> +#include <fstream> +#include <string> +#include <cstring> +#include <cassert> + +char token[1024]; +char output[1024]; +double mat[4096][4096]; +int main(int argc, char **argv) { + std::ofstream fout; + fout.open(argv[1]); + int cnt = 0; + bool shift; + while (scanf("%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", + token, &lrate, token, &blrate, token, &mnorm); + scanf("%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); + long base = fout.tellp(); + sprintf(output, "%16d", 0); + fout << output; + sprintf(output, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n", + cnt); + fout << output; + sprintf(output, "%d %d\n", nrow, ncol); + fout << output; + for (i = 0; i < nrow; i++) + { + for (j = 0; j < ncol; j++) + fout << mat[i][j] << " "; + fout << std::endl; + } + long length = fout.tellp() - base; + fout.seekp(base); + sprintf(output, "[%13lu]\n", length); + fout << output; + fout.seekp(0, std::ios_base::end); + scanf("%s", token); + assert(*token == ']'); + if (scanf("%s", token) == 1 && *token == '[') + { + base = fout.tellp(); + for (j = 0; j < ncol; j++) + scanf("%lf", mat[0] + j); + sprintf(output, "%16d", 0); + fout << output; + sprintf(output, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n", + cnt); + 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); + cnt++; + } + } + else if ((shift = (strcmp(token, "<AddShift>") == 0)) || + strcmp(token, "<Rescale>") == 0) + { + double lrate, blrate, mnorm; + scanf("%d %d", &ncol, &ncol); + scanf("%s %lf", + token, &lrate); + scanf("%s", token); + assert(*token == '['); + printf("%d\n", ncol); + for (j = 0; j < ncol; j++) + scanf("%lf", mat[0] + j); + long base = fout.tellp(); + sprintf(output, "%16d", 0); + fout << output; + sprintf(output, "{type=\"nerv.BiasParam\",id=\"%s%d\"}\n", + shift ? "bias" : "window", + cnt); + fout << output; + sprintf(output, "%d %d\n", 1, ncol); + fout << output; + for (j = 0; j < ncol; j++) + fout << mat[0][j] << " "; + fout << std::endl; + long length = fout.tellp() - base; + fout.seekp(base); + sprintf(output, "[%13lu]\n", length); + fout << output; + fout.seekp(0, std::ios_base::end); + scanf("%s", token); + assert(*token == ']'); + } + } + return 0; +} |