Some checks failed
Linux Build / Linux cpu (push) Has been cancelled
Linux Build / Linux cpu-clang (push) Has been cancelled
Linux Build / Linux vulkan (push) Has been cancelled
mac-build / macOS CPU (push) Has been cancelled
Nix Build / Nix (cpu) (push) Has been cancelled
Nix Build / Nix (vulkan) (push) Has been cancelled
windows-build / Windows CPU (push) Has been cancelled
277 lines
11 KiB
C++
277 lines
11 KiB
C++
#include "engine/framework/audio/wav_writer.h"
|
|
#include "engine/framework/debug/trace.h"
|
|
#include "engine/framework/io/json.h"
|
|
#include "engine/framework/runtime/registry.h"
|
|
#include "engine/framework/runtime/session.h"
|
|
|
|
#include <algorithm>
|
|
#include <chrono>
|
|
#include <cmath>
|
|
#include <cstdlib>
|
|
#include <filesystem>
|
|
#include <iostream>
|
|
#include <stdexcept>
|
|
#include <string>
|
|
#include <utility>
|
|
#include <vector>
|
|
|
|
namespace {
|
|
|
|
std::string arg_value(int argc, char ** argv, const std::string & name, const std::string & fallback) {
|
|
for (int i = 1; i + 1 < argc; ++i) {
|
|
if (argv[i] == name) {
|
|
return argv[i + 1];
|
|
}
|
|
}
|
|
return fallback;
|
|
}
|
|
|
|
int int_arg(int argc, char ** argv, const std::string & name, int fallback) {
|
|
return std::stoi(arg_value(argc, argv, name, std::to_string(fallback)));
|
|
}
|
|
|
|
std::vector<std::pair<std::string, std::string>> parse_session_options(int argc, char ** argv) {
|
|
std::vector<std::pair<std::string, std::string>> out;
|
|
for (int i = 1; i + 1 < argc; ++i) {
|
|
if (std::string(argv[i]) != "--session-option") {
|
|
continue;
|
|
}
|
|
const std::string option = argv[i + 1];
|
|
const size_t eq = option.find('=');
|
|
if (eq == std::string::npos || eq == 0) {
|
|
throw std::runtime_error("invalid HeartMuLa --session-option: " + option);
|
|
}
|
|
out.emplace_back(option.substr(0, eq), option.substr(eq + 1));
|
|
}
|
|
return out;
|
|
}
|
|
|
|
engine::core::BackendType parse_backend(const std::string & value) {
|
|
if (value == "cuda") {
|
|
return engine::core::BackendType::Cuda;
|
|
}
|
|
throw std::runtime_error("HeartMuLa warmbench is CUDA-only");
|
|
}
|
|
|
|
std::string optional_string(const engine::io::json::Value & object, const std::string & key) {
|
|
const auto * value = object.find(key);
|
|
return value == nullptr || value->is_null() ? std::string{} : value->as_string();
|
|
}
|
|
|
|
std::string required_string(const engine::io::json::Value & object, const std::string & key) {
|
|
const auto value = optional_string(object, key);
|
|
if (value.empty()) {
|
|
throw std::runtime_error("HeartMuLa warmbench request missing field: " + key);
|
|
}
|
|
return value;
|
|
}
|
|
|
|
std::string option_text(const engine::io::json::Value & value) {
|
|
if (value.is_bool()) {
|
|
return value.as_bool() ? "true" : "false";
|
|
}
|
|
if (value.is_number()) {
|
|
return engine::io::json::stringify_number(value.as_number());
|
|
}
|
|
return value.as_string();
|
|
}
|
|
|
|
void set_optional_option(
|
|
engine::runtime::TaskRequest & request,
|
|
const engine::io::json::Value & object,
|
|
const std::string & source,
|
|
const std::string & target) {
|
|
const auto * value = object.find(source);
|
|
if (value != nullptr && !value->is_null()) {
|
|
request.options[target] = option_text(*value);
|
|
}
|
|
}
|
|
|
|
engine::runtime::TaskRequest make_request(const engine::io::json::Value & object) {
|
|
engine::runtime::TaskRequest request;
|
|
request.text_input = engine::runtime::Transcript{required_string(object, "lyrics"), ""};
|
|
request.options["tags"] = required_string(object, "tags");
|
|
set_optional_option(request, object, "max_audio_length_ms", "max_audio_length_ms");
|
|
set_optional_option(request, object, "topk", "topk");
|
|
set_optional_option(request, object, "temperature", "temperature");
|
|
set_optional_option(request, object, "cfg_scale", "cfg_scale");
|
|
set_optional_option(request, object, "codec_duration", "codec_duration");
|
|
set_optional_option(request, object, "codec_steps", "codec_steps");
|
|
set_optional_option(request, object, "codec_guidance_scale", "codec_guidance_scale");
|
|
set_optional_option(request, object, "seed", "seed");
|
|
return request;
|
|
}
|
|
|
|
std::vector<engine::runtime::TaskRequest> parse_requests(const std::string & request_sequence_json) {
|
|
if (request_sequence_json.empty()) {
|
|
throw std::runtime_error("HeartMuLa warmbench requires --request-sequence-json");
|
|
}
|
|
const auto root = engine::io::json::parse(request_sequence_json);
|
|
std::vector<engine::runtime::TaskRequest> requests;
|
|
for (const auto & item : root.as_array()) {
|
|
requests.push_back(make_request(item));
|
|
}
|
|
if (requests.empty()) {
|
|
throw std::runtime_error("HeartMuLa warmbench request sequence is empty");
|
|
}
|
|
return requests;
|
|
}
|
|
|
|
engine::io::json::Value number(double value) {
|
|
return engine::io::json::Value::make_number(value);
|
|
}
|
|
|
|
engine::io::json::Value string(std::string value) {
|
|
return engine::io::json::Value::make_string(std::move(value));
|
|
}
|
|
|
|
engine::io::json::Value audio_summary_json(const engine::runtime::AudioBuffer & audio) {
|
|
if (audio.samples.empty()) {
|
|
throw std::runtime_error("HeartMuLa warmbench received empty audio output");
|
|
}
|
|
double sum = 0.0;
|
|
double abs_sum = 0.0;
|
|
double sq_sum = 0.0;
|
|
float min_value = audio.samples.front();
|
|
float max_value = audio.samples.front();
|
|
for (const float sample : audio.samples) {
|
|
sum += static_cast<double>(sample);
|
|
abs_sum += std::abs(static_cast<double>(sample));
|
|
sq_sum += static_cast<double>(sample) * static_cast<double>(sample);
|
|
min_value = std::min(min_value, sample);
|
|
max_value = std::max(max_value, sample);
|
|
}
|
|
const auto channels = std::max(1, audio.channels);
|
|
const double frames = static_cast<double>(audio.samples.size() / static_cast<size_t>(channels));
|
|
const double count = static_cast<double>(audio.samples.size());
|
|
return engine::io::json::Value::make_object({
|
|
{"sample_rate", number(static_cast<double>(audio.sample_rate))},
|
|
{"channels", number(static_cast<double>(audio.channels))},
|
|
{"samples", number(count)},
|
|
{"frames", number(frames)},
|
|
{"duration_sec", number(audio.sample_rate > 0 ? frames / audio.sample_rate : 0.0)},
|
|
{"sum", number(sum)},
|
|
{"mean_abs", number(abs_sum / count)},
|
|
{"rms", number(std::sqrt(sq_sum / count))},
|
|
{"min", number(min_value)},
|
|
{"max", number(max_value)},
|
|
});
|
|
}
|
|
|
|
engine::io::json::Value step_json(
|
|
const engine::runtime::TaskResult & result,
|
|
int request_index,
|
|
double wall_ms,
|
|
const std::filesystem::path & audio_path) {
|
|
if (!result.audio_output.has_value()) {
|
|
throw std::runtime_error("HeartMuLa warmbench expected audio output");
|
|
}
|
|
engine::io::json::Value::Object stem{
|
|
{"name", string("audio")},
|
|
{"summary", audio_summary_json(*result.audio_output)},
|
|
};
|
|
if (!audio_path.empty()) {
|
|
stem.emplace("audio", string(audio_path.string()));
|
|
}
|
|
return engine::io::json::Value::make_object({
|
|
{"request_index", number(static_cast<double>(request_index))},
|
|
{"stems", engine::io::json::Value::make_array({engine::io::json::Value::make_object(std::move(stem))})},
|
|
{"metrics", engine::io::json::Value::make_object({{"wall_ms", number(wall_ms)}})},
|
|
});
|
|
}
|
|
|
|
void set_env_required(const char * key, const std::string & value) {
|
|
if (setenv(key, value.c_str(), 1) != 0) {
|
|
throw std::runtime_error("failed to set environment variable: " + std::string(key));
|
|
}
|
|
}
|
|
|
|
} // namespace
|
|
|
|
int main(int argc, char ** argv) {
|
|
try {
|
|
const std::filesystem::path model_path = arg_value(argc, argv, "--model", "models/HeartMuLa");
|
|
const std::string backend_name = arg_value(argc, argv, "--backend", "cuda");
|
|
const int device = int_arg(argc, argv, "--device", 0);
|
|
const int threads = int_arg(argc, argv, "--threads", 8);
|
|
const int warmup = int_arg(argc, argv, "--warmup", 0);
|
|
const int iterations = int_arg(argc, argv, "--iterations", 1);
|
|
const std::string request_sequence_json = arg_value(argc, argv, "--request-sequence-json", "");
|
|
const std::filesystem::path output_dir = arg_value(argc, argv, "--output-dir", "");
|
|
const std::filesystem::path timing_path =
|
|
arg_value(argc, argv, "--timing-file", "/tmp/heartmula_warm_bench_timing.log");
|
|
set_env_required("MINITTS_TIMING_ENABLED", "1");
|
|
set_env_required("MINITTS_TIMING_FILE", timing_path.string());
|
|
engine::debug::configure_logging(engine::debug::LoggingConfig{true, timing_path.string()});
|
|
|
|
engine::runtime::ModelLoadRequest load_request;
|
|
load_request.model_path = model_path;
|
|
load_request.family_hint = "heartmula";
|
|
auto registry = engine::runtime::make_default_registry();
|
|
auto model = registry.load(load_request);
|
|
|
|
engine::runtime::SessionOptions options;
|
|
options.backend.type = parse_backend(backend_name);
|
|
options.backend.device = device;
|
|
options.backend.threads = threads;
|
|
for (const auto & [key, value] : parse_session_options(argc, argv)) {
|
|
options.options.insert_or_assign(key, value);
|
|
}
|
|
|
|
auto session_base = model->create_task_session(
|
|
{engine::runtime::VoiceTaskKind::Tts, engine::runtime::RunMode::Offline},
|
|
options);
|
|
auto * session = dynamic_cast<engine::runtime::IOfflineVoiceTaskSession *>(session_base.get());
|
|
if (session == nullptr) {
|
|
throw std::runtime_error("loaded HeartMuLa session is not offline-capable");
|
|
}
|
|
|
|
const auto requests = parse_requests(request_sequence_json);
|
|
session->prepare(engine::runtime::build_preparation_request(requests.front()));
|
|
for (int i = 0; i < warmup; ++i) {
|
|
(void) session->run(requests.front());
|
|
}
|
|
if (!output_dir.empty()) {
|
|
std::filesystem::create_directories(output_dir);
|
|
}
|
|
|
|
engine::io::json::Value::Array steps;
|
|
steps.reserve(requests.size());
|
|
for (size_t request_index = 0; request_index < requests.size(); ++request_index) {
|
|
engine::runtime::TaskResult last_result;
|
|
double total_ms = 0.0;
|
|
for (int iteration = 0; iteration < std::max(1, iterations); ++iteration) {
|
|
const auto started = std::chrono::steady_clock::now();
|
|
last_result = session->run(requests[request_index]);
|
|
const auto ended = std::chrono::steady_clock::now();
|
|
total_ms += std::chrono::duration<double, std::milli>(ended - started).count();
|
|
}
|
|
if (!last_result.audio_output.has_value()) {
|
|
throw std::runtime_error("HeartMuLa warmbench expected audio output");
|
|
}
|
|
const double wall_ms = total_ms / static_cast<double>(std::max(1, iterations));
|
|
std::filesystem::path audio_path;
|
|
if (!output_dir.empty()) {
|
|
audio_path = output_dir / ("audio_" + std::to_string(request_index) + ".wav");
|
|
engine::audio::write_pcm16_wav(
|
|
audio_path,
|
|
last_result.audio_output->sample_rate,
|
|
last_result.audio_output->channels,
|
|
last_result.audio_output->samples);
|
|
}
|
|
std::cout << "heartmula.wall_ms=" << wall_ms << "\n";
|
|
steps.push_back(step_json(last_result, static_cast<int>(request_index), wall_ms, audio_path));
|
|
}
|
|
|
|
const auto summary = engine::io::json::Value::make_object({
|
|
{"family", string("heartmula")},
|
|
{"backend", string(backend_name)},
|
|
{"sequence_steps", engine::io::json::Value::make_array(std::move(steps))},
|
|
});
|
|
std::cout << "summary_json=" << engine::io::json::stringify(summary) << "\n";
|
|
return 0;
|
|
} catch (const std::exception & ex) {
|
|
std::cerr << "heartmula_warm_bench failed: " << ex.what() << "\n";
|
|
return 1;
|
|
}
|
|
}
|