Add TTS with VITS (#360)
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135
sherpa-onnx/csrc/offline-tts-vits-model.cc
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135
sherpa-onnx/csrc/offline-tts-vits-model.cc
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// sherpa-onnx/csrc/offline-tts-vits-model.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-tts-vits-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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#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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namespace sherpa_onnx {
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class OfflineTtsVitsModel::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_WARNING),
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sess_opts_(GetSessionOptions(config)),
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allocator_{} {
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auto buf = ReadFile(config.vits.model);
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Init(buf.data(), buf.size());
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}
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Ort::Value Run(Ort::Value x) {
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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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int64_t len = x_shape[1];
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int64_t len_shape = 1;
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Ort::Value x_length =
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Ort::Value::CreateTensor(memory_info, &len, 1, &len_shape, 1);
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int64_t scale_shape = 1;
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float noise_scale = 1;
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float length_scale = 1;
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float noise_scale_w = 1;
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Ort::Value noise_scale_tensor =
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Ort::Value::CreateTensor(memory_info, &noise_scale, 1, &scale_shape, 1);
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Ort::Value length_scale_tensor = Ort::Value::CreateTensor(
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memory_info, &length_scale, 1, &scale_shape, 1);
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Ort::Value noise_scale_w_tensor = Ort::Value::CreateTensor(
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memory_info, &noise_scale_w, 1, &scale_shape, 1);
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std::array<Ort::Value, 5> inputs = {
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std::move(x), std::move(x_length), std::move(noise_scale_tensor),
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std::move(length_scale_tensor), std::move(noise_scale_w_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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int32_t SampleRate() const { return sample_rate_; }
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bool AddBlank() const { return add_blank_; }
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std::string Punctuations() const { return punctuations_; }
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private:
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void Init(void *model_data, size_t model_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 << "---vits model---\n";
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PrintModelMetadata(os, meta_data);
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SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
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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(sample_rate_, "sample_rate");
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SHERPA_ONNX_READ_META_DATA(add_blank_, "add_blank");
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SHERPA_ONNX_READ_META_DATA_STR(punctuations_, "punctuation");
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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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int32_t sample_rate_;
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int32_t add_blank_;
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std::string punctuations_;
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};
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OfflineTtsVitsModel::OfflineTtsVitsModel(const OfflineTtsModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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OfflineTtsVitsModel::~OfflineTtsVitsModel() = default;
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Ort::Value OfflineTtsVitsModel::Run(Ort::Value x) {
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return impl_->Run(std::move(x));
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}
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int32_t OfflineTtsVitsModel::SampleRate() const { return impl_->SampleRate(); }
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bool OfflineTtsVitsModel::AddBlank() const { return impl_->AddBlank(); }
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std::string OfflineTtsVitsModel::Punctuations() const {
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return impl_->Punctuations();
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}
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} // namespace sherpa_onnx
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