mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-19 04:37:51 +00:00
8de452c18b
* whisper : prepare infra for new decoding strategies * whisper : apply logit filters and compute logprobs * whisper : add whisper_get_logits() * whisper : separate self and cross attention memory Initial step needed for supporting parallel decoders * whisper : move probs_id buffer to whisper_context * whisper : refactor kv cache into separate struct * whisper : move self-attention kv cache to whisper_decoder * whisper : wip decoding parameters + strategies * whisper : wip decoding parameters + strategies (part 2) * whisper : wip decoding parameters + strategies (part 3) * whisper : wip decoding parameters + strategies (part 4) * whisper : fix prompt_past update to not include prompt_init * whisper : temperature + best_of support * whisper : support for compression_ration_threshold We actually use entropy, but it is similar * command : fix example to use logits instead of obsolete probs * whisper : handle empty sequence ranking * whisper : add WHISPER_DEBUG + diagnostic prints + new main args * whisper : minor fixes * whisper : add beam-search support * whisper : bug fix when there no previous context * whisper : add comments * stream : disable temperature fallback For real-time processing, we always want a single decoder running at T=0 * whisper.swiftui : update example - fix paths + add empty folders
217 lines
6.0 KiB
C++
217 lines
6.0 KiB
C++
#include "ggml.h"
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#include "whisper.h"
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#include <emscripten.h>
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#include <emscripten/bind.h>
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#include <atomic>
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#include <cmath>
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#include <mutex>
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#include <string>
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#include <thread>
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#include <vector>
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constexpr int N_THREAD = 8;
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std::vector<struct whisper_context *> g_contexts(4, nullptr);
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std::mutex g_mutex;
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std::thread g_worker;
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std::atomic<bool> g_running(false);
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std::string g_status = "";
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std::string g_status_forced = "";
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std::string g_transcribed = "";
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std::vector<float> g_pcmf32;
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void stream_set_status(const std::string & status) {
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std::lock_guard<std::mutex> lock(g_mutex);
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g_status = status;
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}
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void stream_main(size_t index) {
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stream_set_status("loading data ...");
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struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY);
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wparams.n_threads = std::min(N_THREAD, (int) std::thread::hardware_concurrency());
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wparams.offset_ms = 0;
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wparams.translate = false;
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wparams.no_context = true;
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wparams.single_segment = true;
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wparams.print_realtime = false;
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wparams.print_progress = false;
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wparams.print_timestamps = true;
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wparams.print_special = false;
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wparams.max_tokens = 32;
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wparams.audio_ctx = 768; // partial encoder context for better performance
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// disable temperature fallback
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wparams.temperature_inc = -1.0f;
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wparams.language = "en";
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printf("stream: using %d threads\n", wparams.n_threads);
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std::vector<float> pcmf32;
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// whisper context
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auto & ctx = g_contexts[index];
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// 5 seconds interval
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const int64_t window_samples = 5*WHISPER_SAMPLE_RATE;
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while (g_running) {
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stream_set_status("waiting for audio ...");
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{
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std::unique_lock<std::mutex> lock(g_mutex);
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if (g_pcmf32.size() < 1024) {
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lock.unlock();
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std::this_thread::sleep_for(std::chrono::milliseconds(10));
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continue;
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}
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pcmf32 = std::vector<float>(g_pcmf32.end() - std::min((int64_t) g_pcmf32.size(), window_samples), g_pcmf32.end());
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g_pcmf32.clear();
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}
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{
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const auto t_start = std::chrono::high_resolution_clock::now();
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stream_set_status("running whisper ...");
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int ret = whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size());
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if (ret != 0) {
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printf("whisper_full() failed: %d\n", ret);
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break;
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}
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const auto t_end = std::chrono::high_resolution_clock::now();
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printf("stream: whisper_full() returned %d in %f seconds\n", ret, std::chrono::duration<double>(t_end - t_start).count());
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}
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{
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std::string text_heard;
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{
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const int n_segments = whisper_full_n_segments(ctx);
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for (int i = n_segments - 1; i < n_segments; ++i) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
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printf("transcribed: %s\n", text);
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text_heard += text;
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}
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}
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{
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std::lock_guard<std::mutex> lock(g_mutex);
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g_transcribed = text_heard;
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}
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}
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}
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if (index < g_contexts.size()) {
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whisper_free(g_contexts[index]);
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g_contexts[index] = nullptr;
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}
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}
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EMSCRIPTEN_BINDINGS(stream) {
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emscripten::function("init", emscripten::optional_override([](const std::string & path_model) {
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for (size_t i = 0; i < g_contexts.size(); ++i) {
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if (g_contexts[i] == nullptr) {
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g_contexts[i] = whisper_init_from_file(path_model.c_str());
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if (g_contexts[i] != nullptr) {
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g_running = true;
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if (g_worker.joinable()) {
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g_worker.join();
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}
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g_worker = std::thread([i]() {
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stream_main(i);
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});
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return i + 1;
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} else {
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return (size_t) 0;
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}
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}
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}
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return (size_t) 0;
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}));
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emscripten::function("free", emscripten::optional_override([](size_t index) {
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if (g_running) {
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g_running = false;
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}
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}));
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emscripten::function("set_audio", emscripten::optional_override([](size_t index, const emscripten::val & audio) {
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--index;
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if (index >= g_contexts.size()) {
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return -1;
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}
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if (g_contexts[index] == nullptr) {
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return -2;
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}
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{
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std::lock_guard<std::mutex> lock(g_mutex);
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const int n = audio["length"].as<int>();
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emscripten::val heap = emscripten::val::module_property("HEAPU8");
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emscripten::val memory = heap["buffer"];
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g_pcmf32.resize(n);
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emscripten::val memoryView = audio["constructor"].new_(memory, reinterpret_cast<uintptr_t>(g_pcmf32.data()), n);
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memoryView.call<void>("set", audio);
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}
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return 0;
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}));
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emscripten::function("get_transcribed", emscripten::optional_override([]() {
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std::string transcribed;
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{
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std::lock_guard<std::mutex> lock(g_mutex);
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transcribed = std::move(g_transcribed);
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}
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return transcribed;
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}));
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emscripten::function("get_status", emscripten::optional_override([]() {
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std::string status;
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{
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std::lock_guard<std::mutex> lock(g_mutex);
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status = g_status_forced.empty() ? g_status : g_status_forced;
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}
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return status;
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}));
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emscripten::function("set_status", emscripten::optional_override([](const std::string & status) {
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{
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std::lock_guard<std::mutex> lock(g_mutex);
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g_status_forced = status;
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}
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}));
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}
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