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https://github.com/ggerganov/whisper.cpp.git
synced 2024-11-07 16:44:13 +01:00
cmake : enable and fix -Wall -Wextra -Wpedantic C++ warnings
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@ -132,6 +132,12 @@ if (WHISPER_ALL_WARNINGS)
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-Wstrict-prototypes \
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-Wpointer-arith \
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")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} \
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-Wall \
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-Wextra \
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-Wpedantic \
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-Wcast-qual \
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")
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else()
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# todo : msvc
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endif()
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@ -33,7 +33,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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return true;
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}
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options]\n", argv[0]);
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fprintf(stderr, "\n");
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@ -81,7 +81,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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return true;
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}
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options]\n", argv[0]);
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fprintf(stderr, "\n");
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@ -387,7 +387,7 @@ bool vad_simple(std::vector<float> & pcmf32, int sample_rate, int last_ms, float
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float energy_all = 0.0f;
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float energy_last = 0.0f;
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for (size_t i = 0; i < n_samples; i++) {
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for (int i = 0; i < n_samples; i++) {
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energy_all += fabsf(pcmf32[i]);
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if (i >= n_samples - n_samples_last) {
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@ -594,7 +594,7 @@ int main(int argc, char ** argv) {
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whisper_token tokens[1024];
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allowed_tokens.emplace_back();
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for (int l = 0; l < cmd.size(); ++l) {
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for (int l = 0; l < (int) cmd.size(); ++l) {
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// NOTE: very important to add the whitespace !
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// the reason is that the first decoded token starts with a whitespace too!
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std::string ss = std::string(" ") + cmd.substr(0, l + 1);
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@ -843,15 +843,15 @@ int main(int argc, char ** argv) {
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// best command
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{
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const auto t_end = std::chrono::high_resolution_clock::now();
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fprintf(stdout, "\n");
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fprintf(stdout, "%s: detected command: %s%s%s | p = %f | t = %d ms\n", __func__,
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"\033[1m", allowed_commands[probs_id[0].second].c_str(), "\033[0m", probs_id[0].first,
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(int) std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::high_resolution_clock::now() - t_start).count());
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(int) std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count());
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fprintf(stdout, "\n");
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}
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const auto t_end = std::chrono::high_resolution_clock::now();
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audio.clear();
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}
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}
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@ -129,7 +129,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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return true;
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}
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options] file0.wav file1.wav ...\n", argv[0]);
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fprintf(stderr, "\n");
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@ -328,7 +328,7 @@ bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_
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// karaoke video generation
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// outputs a bash script that uses ffmpeg to generate a video with the subtitles
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// TODO: font parameter adjustments
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bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & params, float t_sec) {
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bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & /*params*/, float t_sec) {
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std::ofstream fout(fname);
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fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
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@ -377,7 +377,6 @@ bool output_wts(struct whisper_context * ctx, const char * fname, const char * f
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txt_ul = "\\ \\ ";
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{
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int ncnt = 0;
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for (int k = 0; k < n; ++k) {
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const auto & token2 = tokens[k];
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@ -401,8 +400,6 @@ bool output_wts(struct whisper_context * ctx, const char * fname, const char * f
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txt_ul += "\\ ";
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}
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}
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ncnt += txt.size();
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}
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::replace_all(txt_bg, "'", "\u2019");
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@ -637,7 +634,7 @@ int main(int argc, char ** argv) {
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{
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static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
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wparams.encoder_begin_callback = [](struct whisper_context * ctx, void * user_data) {
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wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, void * user_data) {
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bool is_aborted = *(bool*)user_data;
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return !is_aborted;
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};
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@ -90,7 +90,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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return true;
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}
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options]\n", argv[0]);
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fprintf(stderr, "\n");
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@ -391,7 +391,7 @@ bool vad_simple(std::vector<float> & pcmf32, int sample_rate, int last_ms, float
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float energy_all = 0.0f;
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float energy_last = 0.0f;
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for (size_t i = 0; i < n_samples; i++) {
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for (int i = 0; i < n_samples; i++) {
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energy_all += fabsf(pcmf32[i]);
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if (i >= n_samples - n_samples_last) {
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@ -78,7 +78,7 @@ gpt_vocab::id gpt_sample_top_k_top_p(
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const float * logits,
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int top_k,
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double top_p,
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double temp,
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double /*temp*/,
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std::mt19937 & rng) {
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int n_logits = vocab.id_to_token.size();
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@ -268,7 +268,7 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
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fin.read((char *) &len, sizeof(len));
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word.resize(len);
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fin.read((char *) word.data(), len);
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fin.read((char *) &word[0], len);
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vocab.token_to_id[word] = i;
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vocab.id_to_token[i] = word;
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@ -884,7 +884,7 @@ std::string gpt2_gen_text(gpt2_context * ctx, const char * text, int max_tokens)
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std::string result;
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for (int i = embd.size(); i < embd_inp.size() + n_predict; i++) {
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for (int i = embd.size(); i < (int) embd_inp.size() + n_predict; i++) {
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// predict
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if (embd.size() > 0) {
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if (!gpt2_eval(ctx->model, ctx->n_threads, n_past, embd, embd_w, mem_per_token)) {
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@ -79,7 +79,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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return true;
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}
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options]\n", argv[0]);
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fprintf(stderr, "\n");
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@ -397,7 +397,7 @@ bool vad_simple(std::vector<float> & pcmf32, int sample_rate, int last_ms, float
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float energy_all = 0.0f;
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float energy_last = 0.0f;
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for (size_t i = 0; i < n_samples; i++) {
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for (int i = 0; i < n_samples; i++) {
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energy_all += fabsf(pcmf32[i]);
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if (i >= n_samples - n_samples_last) {
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@ -541,7 +541,6 @@ int main(int argc, char ** argv) {
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bool force_speak = false;
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float prob0 = 0.0f;
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float prob = 0.0f;
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std::vector<float> pcmf32_cur;
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std::vector<float> pcmf32_prompt;
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@ -621,7 +621,6 @@ static bool whisper_model_load(const std::string & fname, whisper_context & wctx
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const ggml_type wtype = model.hparams.f16 ? GGML_TYPE_F16 : GGML_TYPE_F32;
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size_t ctx_size = 0;
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size_t ctx_mem_size = 0;
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{
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const auto & hparams = model.hparams;
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@ -730,12 +729,6 @@ static bool whisper_model_load(const std::string & fname, whisper_context & wctx
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ctx_size += n_text_layer*( n_text_state*ggml_type_size(GGML_TYPE_F32)); // cross_attn_ln_1_b
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}
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ctx_mem_size += n_text_layer*n_text_ctx*n_text_state*ggml_type_size(GGML_TYPE_F16); // memory_k
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ctx_mem_size += n_text_layer*n_text_ctx*n_text_state*ggml_type_size(GGML_TYPE_F16); // memory_v
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ctx_mem_size += n_text_layer*n_audio_ctx*n_text_state*ggml_type_size(GGML_TYPE_F16); // memory_cross_k
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ctx_mem_size += n_text_layer*n_audio_ctx*n_text_state*ggml_type_size(GGML_TYPE_F16); // memory_cross_v
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ctx_size += (15 + 15*n_audio_layer + 24*n_text_layer)*256; // object overhead
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fprintf(stderr, "%s: ggml ctx size = %7.2f MB\n", __func__, ctx_size/(1024.0*1024.0));
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@ -2043,7 +2036,7 @@ static void fft(const std::vector<float> & in, std::vector<float> & out) {
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static bool log_mel_spectrogram(
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const float * samples,
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const int n_samples,
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const int sample_rate,
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const int /*sample_rate*/,
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const int fft_size,
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const int fft_step,
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const int n_mel,
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