From a74183ddb4ab8383bfe214b3745eb8a0a99ee47a Mon Sep 17 00:00:00 2001 From: Determinant Date: Thu, 25 Jun 2015 12:56:45 +0800 Subject: let HTK I/O implementation be a single package --- tools/tnet_to_nerv.c | 57 ------------------------------------------ tools/tnet_to_nerv.cpp | 68 -------------------------------------------------- 2 files changed, 125 deletions(-) delete mode 100644 tools/tnet_to_nerv.c delete mode 100644 tools/tnet_to_nerv.cpp (limited to 'tools') diff --git a/tools/tnet_to_nerv.c b/tools/tnet_to_nerv.c deleted file mode 100644 index f781236..0000000 --- a/tools/tnet_to_nerv.c +++ /dev/null @@ -1,57 +0,0 @@ -#include -#include -#include -char token[1024]; -double mat[4096][4096]; -int main() { - FILE *fout = fopen("converted.nerv", "w"); - int cnt = 0; - while (scanf("%s", token) != EOF) - { - int nrow, ncol; - int i, j; - if (strcmp(token, "") == 0) - { - scanf("%d %d", &ncol, &nrow); - scanf("%s %d %d", token, &ncol, &nrow); - printf("%d %d\n", nrow, ncol); - for (j = 0; j < ncol; j++) - for (i = 0; i < nrow; i++) - scanf("%lf", mat[i] + j); - off_t base = ftello(fout); - fprintf(fout, "%16d", 0); - fprintf(fout, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n", - cnt); - fprintf(fout, "%d %d\n", nrow, ncol); - for (i = 0; i < nrow; i++) - { - for (j = 0; j < ncol; j++) - fprintf(fout, "%.8f ", mat[i][j]); - fprintf(fout, "\n"); - } - size_t length = ftello(fout) - base; - fseeko(fout, base, SEEK_SET); - fprintf(fout, "[%13lu]\n", length); - fseeko(fout, 0, SEEK_END); - if (scanf("%s %d", token, &ncol) == 2 && *token == 'v') - { - base = ftello(fout); - for (j = 0; j < ncol; j++) - scanf("%lf", mat[0] + j); - fprintf(fout, "%16d", 0); - fprintf(fout, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n", - cnt); - fprintf(fout, "1 %d\n", nrow, ncol); - for (j = 0; j < ncol; j++) - fprintf(fout, "%.8f ", mat[0][j]); - fprintf(fout, "\n"); - length = ftello(fout) - base; - fseeko(fout, base, SEEK_SET); - fprintf(fout, "[%13lu]\n", length); - cnt++; - fseeko(fout, 0, SEEK_END); - } - } - } - return 0; -} diff --git a/tools/tnet_to_nerv.cpp b/tools/tnet_to_nerv.cpp deleted file mode 100644 index bbfddcf..0000000 --- a/tools/tnet_to_nerv.cpp +++ /dev/null @@ -1,68 +0,0 @@ -#include -#include -#include -#include -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; - while (scanf("%s", token) != EOF) - { - int nrow, ncol; - int i, j; - if (strcmp(token, "") == 0) - { - scanf("%d %d", &ncol, &nrow); - scanf("%s %d %d", token, &ncol, &nrow); - 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); - if (scanf("%s %d", token, &ncol) == 2 && *token == 'v') - { - 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++; - } - } - } - return 0; -} -- cgit v1.2.3-70-g09d2