254 lines
7.8 KiB
C++
254 lines
7.8 KiB
C++
// sherpa-onnx/csrc/offline-tts-kokoro-model.cc
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//
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// Copyright (c) 2025 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-tts-kokoro-model.h"
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#include <algorithm>
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#include <string>
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#include <utility>
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#include <vector>
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#if __ANDROID_API__ >= 9
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#include "android/asset_manager.h"
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#include "android/asset_manager_jni.h"
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#endif
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#if __OHOS__
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#include "rawfile/raw_file_manager.h"
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#endif
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/onnx-utils.h"
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#include "sherpa-onnx/csrc/session.h"
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#include "sherpa-onnx/csrc/text-utils.h"
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namespace sherpa_onnx {
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class OfflineTtsKokoroModel::Impl {
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public:
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explicit Impl(const OfflineTtsModelConfig &config)
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: config_(config),
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env_(ORT_LOGGING_LEVEL_ERROR),
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sess_opts_(GetSessionOptions(config)),
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allocator_{} {
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auto model_buf = ReadFile(config.kokoro.model);
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auto voices_buf = ReadFile(config.kokoro.voices);
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Init(model_buf.data(), model_buf.size(), voices_buf.data(),
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voices_buf.size());
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}
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template <typename Manager>
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Impl(Manager *mgr, const OfflineTtsModelConfig &config)
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: config_(config),
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env_(ORT_LOGGING_LEVEL_ERROR),
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sess_opts_(GetSessionOptions(config)),
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allocator_{} {
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auto model_buf = ReadFile(mgr, config.kokoro.model);
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auto voices_buf = ReadFile(mgr, config.kokoro.voices);
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Init(model_buf.data(), model_buf.size(), voices_buf.data(),
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voices_buf.size());
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}
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const OfflineTtsKokoroModelMetaData &GetMetaData() const {
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return meta_data_;
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}
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Ort::Value Run(Ort::Value x, int32_t sid, float speed) {
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auto memory_info =
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Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
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std::vector<int64_t> x_shape = x.GetTensorTypeAndShapeInfo().GetShape();
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if (x_shape[0] != 1) {
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SHERPA_ONNX_LOGE("Support only batch_size == 1. Given: %d",
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static_cast<int32_t>(x_shape[0]));
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exit(-1);
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}
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// there is a 0 at the front and end of x
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int32_t len = static_cast<int32_t>(x_shape[1]) - 2;
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int32_t num_speakers = meta_data_.num_speakers;
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int32_t dim0 = style_dim_[0];
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int32_t dim1 = style_dim_[2];
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if (len >= dim0) {
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SHERPA_ONNX_LOGE("Bad things happened! %d vs %d", len, dim0);
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SHERPA_ONNX_EXIT(-1);
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}
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/*const*/ float *p = styles_.data() + sid * dim0 * dim1 + len * dim1;
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std::array<int64_t, 2> style_embedding_shape = {1, dim1};
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Ort::Value style_embedding = Ort::Value::CreateTensor(
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memory_info, p, dim1, style_embedding_shape.data(),
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style_embedding_shape.size());
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int64_t speed_shape = 1;
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Ort::Value speed_tensor =
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Ort::Value::CreateTensor(memory_info, &speed, 1, &speed_shape, 1);
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std::array<Ort::Value, 3> inputs = {
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std::move(x), std::move(style_embedding), std::move(speed_tensor)};
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auto out =
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sess_->Run({}, input_names_ptr_.data(), inputs.data(), inputs.size(),
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output_names_ptr_.data(), output_names_ptr_.size());
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return std::move(out[0]);
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}
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private:
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void Init(void *model_data, size_t model_data_length, const char *voices_data,
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size_t voices_data_length) {
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sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
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sess_opts_);
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GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
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GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
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// get meta data
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Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
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if (config_.debug) {
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std::ostringstream os;
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os << "---kokoro model---\n";
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PrintModelMetadata(os, meta_data);
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os << "----------input names----------\n";
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int32_t i = 0;
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for (const auto &s : input_names_) {
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os << i << " " << s << "\n";
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++i;
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}
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os << "----------output names----------\n";
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i = 0;
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for (const auto &s : output_names_) {
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os << i << " " << s << "\n";
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++i;
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}
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#if __OHOS__
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SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
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#else
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SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
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#endif
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}
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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SHERPA_ONNX_READ_META_DATA(meta_data_.sample_rate, "sample_rate");
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SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.version, "version", 1);
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SHERPA_ONNX_READ_META_DATA(meta_data_.num_speakers, "n_speakers");
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SHERPA_ONNX_READ_META_DATA(meta_data_.has_espeak, "has_espeak");
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SHERPA_ONNX_READ_META_DATA_STR_WITH_DEFAULT(meta_data_.voice, "voice",
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"en-us");
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if (config_.debug) {
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std::vector<std::string> speaker_names;
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SHERPA_ONNX_READ_META_DATA_VEC_STRING(speaker_names, "speaker_names");
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std::ostringstream os;
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os << "\n";
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for (int32_t i = 0; i != speaker_names.size(); ++i) {
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os << i << "->" << speaker_names[i] << ", ";
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}
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os << "\n";
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#if __OHOS__
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SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
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#else
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SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
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#endif
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}
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SHERPA_ONNX_READ_META_DATA_VEC(style_dim_, "style_dim");
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if (style_dim_.size() != 3) {
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SHERPA_ONNX_LOGE("style_dim should be 3-d, given: %d",
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static_cast<int32_t>(style_dim_.size()));
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SHERPA_ONNX_EXIT(-1);
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}
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if (style_dim_[1] != 1) {
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SHERPA_ONNX_LOGE("style_dim[0] should be 1, given: %d", style_dim_[1]);
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SHERPA_ONNX_EXIT(-1);
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}
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int32_t actual_num_floats = voices_data_length / sizeof(float);
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int32_t expected_num_floats =
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style_dim_[0] * style_dim_[2] * meta_data_.num_speakers;
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if (actual_num_floats != expected_num_floats) {
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#if __OHOS__
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SHERPA_ONNX_LOGE(
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"Corrupted --kokoro-voices '%{public}s'. Expected #floats: "
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"%{public}d, actual: %{public}d",
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config_.kokoro.voices.c_str(), expected_num_floats,
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actual_num_floats);
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#else
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SHERPA_ONNX_LOGE(
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"Corrupted --kokoro-voices '%s'. Expected #floats: %d, actual: %d",
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config_.kokoro.voices.c_str(), expected_num_floats,
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actual_num_floats);
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#endif
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SHERPA_ONNX_EXIT(-1);
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}
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styles_ = std::vector<float>(
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reinterpret_cast<const float *>(voices_data),
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reinterpret_cast<const float *>(voices_data) + expected_num_floats);
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meta_data_.max_token_len = style_dim_[0];
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}
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private:
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OfflineTtsModelConfig config_;
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Ort::Env env_;
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Ort::SessionOptions sess_opts_;
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Ort::AllocatorWithDefaultOptions allocator_;
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std::unique_ptr<Ort::Session> sess_;
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std::vector<std::string> input_names_;
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std::vector<const char *> input_names_ptr_;
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std::vector<std::string> output_names_;
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std::vector<const char *> output_names_ptr_;
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OfflineTtsKokoroModelMetaData meta_data_;
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std::vector<int32_t> style_dim_;
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// (num_speakers, style_dim_[0], style_dim_[2])
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std::vector<float> styles_;
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};
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OfflineTtsKokoroModel::OfflineTtsKokoroModel(
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const OfflineTtsModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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template <typename Manager>
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OfflineTtsKokoroModel::OfflineTtsKokoroModel(
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Manager *mgr, const OfflineTtsModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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OfflineTtsKokoroModel::~OfflineTtsKokoroModel() = default;
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const OfflineTtsKokoroModelMetaData &OfflineTtsKokoroModel::GetMetaData()
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const {
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return impl_->GetMetaData();
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}
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Ort::Value OfflineTtsKokoroModel::Run(Ort::Value x, int64_t sid /*= 0*/,
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float speed /*= 1.0*/) const {
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return impl_->Run(std::move(x), sid, speed);
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}
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#if __ANDROID_API__ >= 9
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template OfflineTtsKokoroModel::OfflineTtsKokoroModel(
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AAssetManager *mgr, const OfflineTtsModelConfig &config);
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#endif
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#if __OHOS__
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template OfflineTtsKokoroModel::OfflineTtsKokoroModel(
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NativeResourceManager *mgr, const OfflineTtsModelConfig &config);
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#endif
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} // namespace sherpa_onnx
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