Fabio
c36510c21e
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196 lines
9 KiB
C++
196 lines
9 KiB
C++
#include "../core/audio_task_warm_bench.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::string repeated_arg(int argc, char ** argv, const std::string & name, size_t index, const std::string & fallback) {
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size_t seen = 0;
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for (int i = 1; i + 1 < argc; ++i) {
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if (argv[i] == name) {
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if (seen == index) {
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return argv[i + 1];
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}
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++seen;
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}
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}
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return fallback;
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}
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std::vector<std::pair<std::string, std::string>> parse_session_options(int argc, char ** argv) {
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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]) != "--session-option") {
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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 Qwen3 ASR --session-option: " + 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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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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const std::string & context,
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const std::string & requested_language,
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double wall_ms) {
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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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{"context", string(context)},
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{"requested_language", string(requested_language)},
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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::tools::word_timestamps_json(result.word_timestamps)},
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{"metrics", engine::io::json::Value::make_object({{"wall_ms", number(wall_ms)}})},
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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/Qwen3-ASR-0.6B");
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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.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", "cpu");
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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", 1);
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const int iterations = engine::tools::int_arg(argc, argv, "--iterations", 1);
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const int max_new_tokens = engine::tools::int_arg(argc, argv, "--max-new-tokens", 512);
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const std::string default_language = engine::tools::arg_value(argc, argv, "--language", "English");
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const std::string default_context = engine::tools::arg_value(argc, argv, "--context", "");
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const std::string warmup_language = engine::tools::arg_value(argc, argv, "--warmup-language", default_language);
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const std::string warmup_context = engine::tools::arg_value(argc, argv, "--warmup-context", default_context);
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const std::filesystem::path timing_path =
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engine::tools::arg_value(argc, argv, "--timing-file", "/tmp/qwen3_asr_warm_bench_timing.log");
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setenv("ENGINE_TRACE_ENABLED", "0", 1);
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setenv("ENGINE_TIMING_ENABLED", "1", 1);
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setenv("ENGINE_TIMING_FILE", timing_path.c_str(), 1);
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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 = "qwen3_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_session_options(argc, argv)) {
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session_options.options.emplace(key, value);
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}
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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("Qwen3 ASR did not create an offline task session");
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}
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const auto warmup_audio = engine::tools::read_audio_buffer(warmup_audio_path);
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session->prepare(engine::runtime::build_preparation_request(warmup_audio));
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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{warmup_context, warmup_language};
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warmup_request.options["max_new_tokens"] = std::to_string(max_new_tokens);
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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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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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const auto request_languages = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--language-sequence", ""));
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const auto request_contexts = split_csv_keep_empty(engine::tools::arg_value(argc, argv, "--context-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 language = request_index < request_languages.size() && !request_languages[request_index].empty()
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? request_languages[request_index]
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: repeated_arg(argc, argv, "--request-language", request_index, default_language);
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const std::string context = request_index < request_contexts.size()
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? request_contexts[request_index]
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: repeated_arg(argc, argv, "--request-context", request_index, default_context);
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const auto audio = engine::tools::read_audio_buffer(request_paths[request_index]);
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engine::runtime::TaskRequest run_request;
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run_request.audio_input = audio;
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run_request.text_input = engine::runtime::Transcript{context, language};
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run_request.options["max_new_tokens"] = std::to_string(max_new_tokens);
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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 << "qwen3_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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context,
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language,
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wall_ms));
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}
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const auto summary = engine::io::json::Value::make_object({
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{"family", string("qwen3_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 << "qwen3_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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