mirror of
https://github.com/PABannier/bark.cpp
synced 2026-03-04 22:21:03 +01:00
66 lines
1.6 KiB
C++
66 lines
1.6 KiB
C++
#include "ggml.h"
|
|
#include "bark.h"
|
|
|
|
|
|
int main(int argc, char **argv) {
|
|
ggml_time_init();
|
|
const int64_t t_main_start_us = ggml_time_us();
|
|
|
|
bark_params params;
|
|
|
|
if (bark_params_parse(argc, argv, params) == false) {
|
|
return 1;
|
|
}
|
|
|
|
int64_t t_load_us = 0;
|
|
int64_t t_eval_us = 0;
|
|
|
|
bark_model model;
|
|
std::string fname = "./ggml_weights";
|
|
|
|
if (!params.model.empty()) {
|
|
fname = params.model;
|
|
}
|
|
|
|
// load the model
|
|
{
|
|
const int64_t t_start_us = ggml_time_us();
|
|
|
|
if(!bark_model_load(fname, model)) {
|
|
fprintf(stderr, "%s: failed to load model from '%s'\n", __func__, fname.c_str());
|
|
return 1;
|
|
}
|
|
|
|
t_load_us = ggml_time_us() - t_start_us;
|
|
}
|
|
|
|
printf("\n");
|
|
|
|
std::string prompt = "this is an audio";
|
|
if (!params.prompt.empty()) {
|
|
prompt = params.prompt;
|
|
}
|
|
|
|
const int64_t t_eval_us_start = ggml_time_us();
|
|
bark_generate_audio(model, model.vocab, prompt.data(), params.n_threads, params.seed, params.dest_wav_path);
|
|
t_eval_us = ggml_time_us() - t_eval_us_start;
|
|
|
|
// report timing
|
|
{
|
|
const int64_t t_main_end_us = ggml_time_us();
|
|
|
|
printf("\n\n");
|
|
printf("%s: load time = %8.2f ms\n", __func__, t_load_us/1000.0f);
|
|
printf("%s: eval time = %8.2f ms\n", __func__, t_eval_us/1000.0f);
|
|
printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0f);
|
|
}
|
|
|
|
// TODO: write wrapper
|
|
ggml_free(model.coarse_model.ctx);
|
|
ggml_free(model.fine_model.ctx);
|
|
ggml_free(model.text_model.ctx);
|
|
ggml_free(model.codec_model.ctx);
|
|
|
|
return 0;
|
|
}
|