extern/whisper.cpp
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main : log probs to text file (#1205)

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* token/probability file generated with -ls

* code comment cleaning

* main : indentations

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Yunès 2023-08-27 18:09:06 +02:00 committed by GitHub
parent aad2dad38a
commit 7ef3f3837e
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1 changed files with 28 additions and 0 deletions
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examples/main/main.cpp
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@ -87,6 +87,7 @@ struct whisper_params {
bool print_colors = false;
bool print_progress = false;
bool no_timestamps = false;
bool log_score = false;
std::string language = "en";
std::string prompt;
@ -159,6 +160,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
whisper_print_usage(argc, argv, params);
@ -212,6 +214,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
fprintf(stderr, " -ls, --log-score [%-7s] log best decoder scores of tokens\n", params.log_score?"true":"false");
fprintf(stderr, "\n");
}
@ -486,6 +489,25 @@ bool output_csv(struct whisper_context * ctx, const char * fname, const whisper_
return true;
}
bool output_score(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
std::ofstream fout(fname);
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
const int n_segments = whisper_full_n_segments(ctx);
// fprintf(stderr,"segments: %d\n",n_segments);
for (int i = 0; i < n_segments; ++i) {
const int n_tokens = whisper_full_n_tokens(ctx, i);
// fprintf(stderr,"tokens: %d\n",n_tokens);
for (int j = 0; j < n_tokens; j++) {
auto token = whisper_full_get_token_text(ctx, i, j);
auto probability = whisper_full_get_token_p(ctx, i, j);
fout << token << '\t' << probability << std::endl;
// fprintf(stderr,"token: %s %f\n",token,probability);
}
}
return true;
}
bool output_json(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
std::ofstream fout(fname);
int indent = 0;
@ -982,6 +1004,12 @@ int main(int argc, char ** argv) {
const auto fname_lrc = fname_out + ".lrc";
output_lrc(ctx, fname_lrc.c_str(), params, pcmf32s);
}
// output to score file
if (params.log_score) {
const auto fname_score = fname_out + ".score.txt";
output_score(ctx, fname_score.c_str(), params, pcmf32s);
}
}
}