Fabio
c36510c21e
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263 lines
13 KiB
C++
263 lines
13 KiB
C++
#include "../core/audio_task_warm_bench.h"
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#include "engine/framework/debug/trace.h"
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#include <chrono>
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#include <cstdlib>
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#include <filesystem>
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#include <iostream>
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#include <sstream>
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#include <stdexcept>
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#include <string>
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#include <utility>
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#include <vector>
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namespace {
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std::vector<std::string> split_csv_keep_empty(const std::string & value) {
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std::vector<std::string> out;
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std::stringstream stream(value);
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std::string item;
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while (std::getline(stream, item, ',')) {
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out.push_back(item);
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}
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return out;
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}
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std::vector<std::pair<std::string, std::string>> parse_key_value_options(
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int argc,
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char ** argv,
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const std::string & name) {
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std::vector<std::pair<std::string, std::string>> out;
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for (int i = 1; i + 1 < argc; ++i) {
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if (std::string(argv[i]) != name) {
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continue;
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}
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const std::string option = argv[i + 1];
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const size_t eq = option.find('=');
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if (eq == std::string::npos || eq == 0) {
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throw std::runtime_error("invalid VibeVoice-ASR " + name + ": " + option);
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}
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out.emplace_back(option.substr(0, eq), option.substr(eq + 1));
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}
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return out;
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}
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std::string repeated_sequence_arg(const std::vector<std::string> & values, size_t index, const std::string & fallback) {
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return index < values.size() && !values[index].empty() ? values[index] : fallback;
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}
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engine::io::json::Value number(double value) {
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return engine::io::json::Value::make_number(value);
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}
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engine::io::json::Value string(std::string value) {
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return engine::io::json::Value::make_string(std::move(value));
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}
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engine::io::json::Value step_json(
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const engine::runtime::TaskResult & result,
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int request_index,
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const std::filesystem::path & audio_path,
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double wall_ms,
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const std::string & context,
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const std::string & max_tokens,
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const std::string & temperature,
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const std::string & top_p,
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const std::string & top_k,
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const std::string & num_beams,
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const std::string & seed) {
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return engine::io::json::Value::make_object({
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{"request_index", number(request_index)},
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{"audio", string(audio_path.string())},
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{"language", string(result.text_output.has_value() ? result.text_output->language : "")},
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{"text_output", string(result.text_output.has_value() ? result.text_output->text : "")},
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{"word_timestamps", engine::io::json::Value::make_array({})},
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{"speech_segments", engine::tools::speech_segments_json(result.speech_segments)},
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{"speaker_turns", engine::tools::speaker_turns_json(result.speaker_turns)},
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{"metrics", engine::io::json::Value::make_object({
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{"wall_ms", number(wall_ms)},
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{"context", string(context.empty() ? "none" : context)},
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{"max_tokens", string(max_tokens)},
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{"temperature", string(temperature)},
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{"top_p", string(top_p)},
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{"top_k", string(top_k)},
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{"num_beams", string(num_beams)},
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{"seed", string(seed)},
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})},
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});
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}
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} // namespace
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int main(int argc, char ** argv) {
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try {
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const std::filesystem::path model_path =
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engine::tools::arg_value(argc, argv, "--model", "models/VibeVoice-ASR");
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const std::string audio_sequence_value = engine::tools::arg_value(argc, argv, "--audio-sequence", "");
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const std::filesystem::path audio_path = engine::tools::arg_value(argc, argv, "--audio", "resources/sample_16k.wav");
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const std::filesystem::path warmup_audio_path =
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engine::tools::arg_value(argc, argv, "--warmup-audio", audio_path.string());
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const std::string backend_name = engine::tools::arg_value(argc, argv, "--backend", "cuda");
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const int device = engine::tools::int_arg(argc, argv, "--device", 0);
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const int threads = engine::tools::int_arg(argc, argv, "--threads", 8);
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const int warmup = engine::tools::int_arg(argc, argv, "--warmup", 0);
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const int iterations = engine::tools::int_arg(argc, argv, "--iterations", 1);
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const std::string context = engine::tools::arg_value(argc, argv, "--context", "");
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const std::string max_tokens = engine::tools::arg_value(argc, argv, "--max-tokens", "32768");
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const std::string temperature = engine::tools::arg_value(argc, argv, "--temperature", "0.0");
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const std::string top_p = engine::tools::arg_value(argc, argv, "--top-p", "1.0");
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const std::string top_k = engine::tools::arg_value(argc, argv, "--top-k", "50");
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const std::string num_beams = engine::tools::arg_value(argc, argv, "--num-beams", "1");
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const std::string seed = engine::tools::arg_value(argc, argv, "--seed", "1234");
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const std::filesystem::path timing_path =
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engine::tools::arg_value(argc, argv, "--timing-file", "/tmp/vibevoice_asr_warm_bench_timing.log");
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setenv("MINITTS_TRACE_ENABLED", "0", 1);
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setenv("MINITTS_TIMING_ENABLED", "1", 1);
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setenv("MINITTS_TIMING_FILE", timing_path.c_str(), 1);
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engine::debug::configure_logging(engine::debug::LoggingConfig{true, timing_path.string()});
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auto registry = engine::runtime::make_default_registry();
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engine::runtime::ModelLoadRequest load_request;
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load_request.model_path = model_path;
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load_request.family_hint = "vibevoice_asr";
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auto model = registry.load(load_request);
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engine::runtime::SessionOptions session_options;
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session_options.backend.type = engine::tools::parse_backend(backend_name);
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session_options.backend.device = device;
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session_options.backend.threads = threads;
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for (const auto & [key, value] : parse_key_value_options(argc, argv, "--session-option")) {
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session_options.options.emplace(key, value);
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}
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const auto request_option_overrides = parse_key_value_options(argc, argv, "--request-option");
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auto session_base = model->create_task_session(
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engine::runtime::TaskSpec{engine::runtime::VoiceTaskKind::Asr, engine::runtime::RunMode::Offline},
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session_options);
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auto * session = dynamic_cast<engine::runtime::IOfflineVoiceTaskSession *>(session_base.get());
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if (session == nullptr) {
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throw std::runtime_error("VibeVoice-ASR did not create an offline task session");
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}
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std::vector<std::filesystem::path> request_paths;
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if (!audio_sequence_value.empty()) {
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for (const auto & item : engine::tools::split_csv(audio_sequence_value)) {
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request_paths.emplace_back(item);
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}
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} else {
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request_paths.push_back(audio_path);
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}
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if (request_paths.empty()) {
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throw std::runtime_error("VibeVoice-ASR request sequence is empty");
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}
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std::vector<engine::runtime::AudioBuffer> request_audio_buffers;
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request_audio_buffers.reserve(request_paths.size());
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for (const auto & path : request_paths) {
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request_audio_buffers.push_back(engine::tools::read_audio_buffer(path));
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}
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const auto warmup_audio = engine::tools::read_audio_buffer(warmup_audio_path);
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int64_t prepare_samples = static_cast<int64_t>(warmup_audio.samples.size());
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for (const auto & audio : request_audio_buffers) {
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if (audio.sample_rate == warmup_audio.sample_rate &&
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audio.channels == warmup_audio.channels &&
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static_cast<int64_t>(audio.samples.size()) > prepare_samples) {
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prepare_samples = static_cast<int64_t>(audio.samples.size());
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}
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}
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engine::runtime::SessionPreparationRequest prepare_request;
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prepare_request.audio = engine::runtime::AudioPreparationContract{
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warmup_audio.sample_rate,
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warmup_audio.channels,
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prepare_samples,
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};
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prepare_request.text = engine::runtime::Transcript{context, "auto"};
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session->prepare(prepare_request);
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engine::runtime::TaskRequest warmup_request;
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warmup_request.audio_input = warmup_audio;
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warmup_request.text_input = engine::runtime::Transcript{context, "auto"};
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warmup_request.options["max_tokens"] = max_tokens;
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warmup_request.options["temperature"] = temperature;
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warmup_request.options["top_p"] = top_p;
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warmup_request.options["top_k"] = top_k;
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warmup_request.options["num_beams"] = num_beams;
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warmup_request.options["seed"] = seed;
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for (const auto & [key, value] : request_option_overrides) {
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warmup_request.options[key] = value;
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}
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for (int i = 0; i < warmup; ++i) {
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(void) session->run(warmup_request);
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}
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const auto context_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--context-sequence", ""));
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const auto max_tokens_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--max-tokens-sequence", ""));
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const auto temperature_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--temperature-sequence", ""));
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const auto top_p_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--top-p-sequence", ""));
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const auto top_k_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--top-k-sequence", ""));
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const auto num_beams_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--num-beams-sequence", ""));
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const auto seed_sequence = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--seed-sequence", ""));
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engine::io::json::Value::Array steps;
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steps.reserve(request_paths.size());
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for (size_t request_index = 0; request_index < request_paths.size(); ++request_index) {
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const std::string request_context = repeated_sequence_arg(context_sequence, request_index, context);
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const std::string request_max_tokens = repeated_sequence_arg(max_tokens_sequence, request_index, max_tokens);
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const std::string request_temperature = repeated_sequence_arg(temperature_sequence, request_index, temperature);
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const std::string request_top_p = repeated_sequence_arg(top_p_sequence, request_index, top_p);
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const std::string request_top_k = repeated_sequence_arg(top_k_sequence, request_index, top_k);
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const std::string request_num_beams = repeated_sequence_arg(num_beams_sequence, request_index, num_beams);
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const std::string request_seed = repeated_sequence_arg(seed_sequence, request_index, seed);
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engine::runtime::TaskRequest run_request;
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run_request.audio_input = request_audio_buffers[request_index];
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run_request.text_input = engine::runtime::Transcript{request_context, "auto"};
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run_request.options["max_tokens"] = request_max_tokens;
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run_request.options["temperature"] = request_temperature;
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run_request.options["top_p"] = request_top_p;
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run_request.options["top_k"] = request_top_k;
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run_request.options["num_beams"] = request_num_beams;
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run_request.options["seed"] = request_seed;
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for (const auto & [key, value] : request_option_overrides) {
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run_request.options[key] = value;
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}
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engine::runtime::TaskResult last_result;
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double total_ms = 0.0;
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for (int iteration = 0; iteration < iterations; ++iteration) {
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const auto started = std::chrono::steady_clock::now();
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last_result = session->run(run_request);
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const auto ended = std::chrono::steady_clock::now();
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total_ms += std::chrono::duration<double, std::milli>(ended - started).count();
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}
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const double wall_ms = total_ms / static_cast<double>(iterations);
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std::cout << "average[" << request_index << "]\n";
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std::cout << "vibevoice_asr.wall_ms=" << wall_ms << "\n";
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steps.push_back(step_json(
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last_result,
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static_cast<int>(request_index),
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request_paths[request_index],
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wall_ms,
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request_context,
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request_max_tokens,
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request_temperature,
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request_top_p,
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request_top_k,
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request_num_beams,
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request_seed));
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}
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const auto summary = engine::io::json::Value::make_object({
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{"family", string("vibevoice_asr")},
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{"backend", string(backend_name)},
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{"sequence_steps", engine::io::json::Value::make_array(std::move(steps))},
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});
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std::cout << "summary_json=" << engine::io::json::stringify(summary) << "\n";
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return 0;
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} catch (const std::exception & ex) {
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std::cerr << "vibevoice_asr_warm_bench failed: " << ex.what() << "\n";
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return 1;
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}
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}
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