267 lines
8.5 KiB
C++
267 lines
8.5 KiB
C++
// sherpa-onnx/csrc/online-paraformer-model.cc
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/online-paraformer-model.h"
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#include <algorithm>
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#include <cmath>
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#include <string>
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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/file-utils.h"
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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 OnlineParaformerModel::Impl {
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public:
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explicit Impl(const OnlineModelConfig &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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{
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auto buf = ReadFile(config.paraformer.encoder);
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InitEncoder(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(config.paraformer.decoder);
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InitDecoder(buf.data(), buf.size());
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}
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}
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template <typename Manager>
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Impl(Manager *mgr, const OnlineModelConfig &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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{
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auto buf = ReadFile(mgr, config.paraformer.encoder);
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InitEncoder(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(mgr, config.paraformer.decoder);
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InitDecoder(buf.data(), buf.size());
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}
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}
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std::vector<Ort::Value> ForwardEncoder(Ort::Value features,
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Ort::Value features_length) {
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std::array<Ort::Value, 2> inputs = {std::move(features),
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std::move(features_length)};
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return encoder_sess_->Run(
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{}, encoder_input_names_ptr_.data(), inputs.data(), inputs.size(),
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encoder_output_names_ptr_.data(), encoder_output_names_ptr_.size());
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}
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std::vector<Ort::Value> ForwardDecoder(Ort::Value encoder_out,
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Ort::Value encoder_out_length,
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Ort::Value acoustic_embedding,
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Ort::Value acoustic_embedding_length,
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std::vector<Ort::Value> states) {
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std::vector<Ort::Value> decoder_inputs;
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decoder_inputs.reserve(4 + states.size());
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decoder_inputs.push_back(std::move(encoder_out));
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decoder_inputs.push_back(std::move(encoder_out_length));
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decoder_inputs.push_back(std::move(acoustic_embedding));
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decoder_inputs.push_back(std::move(acoustic_embedding_length));
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for (auto &v : states) {
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decoder_inputs.push_back(std::move(v));
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}
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return decoder_sess_->Run({}, decoder_input_names_ptr_.data(),
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decoder_inputs.data(), decoder_inputs.size(),
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decoder_output_names_ptr_.data(),
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decoder_output_names_ptr_.size());
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}
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int32_t VocabSize() const { return vocab_size_; }
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int32_t LfrWindowSize() const { return lfr_window_size_; }
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int32_t LfrWindowShift() const { return lfr_window_shift_; }
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int32_t EncoderOutputSize() const { return encoder_output_size_; }
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int32_t DecoderKernelSize() const { return decoder_kernel_size_; }
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int32_t DecoderNumBlocks() const { return decoder_num_blocks_; }
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const std::vector<float> &NegativeMean() const { return neg_mean_; }
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const std::vector<float> &InverseStdDev() const { return inv_stddev_; }
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OrtAllocator *Allocator() { return allocator_; }
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private:
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void InitEncoder(void *model_data, size_t model_data_length) {
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encoder_sess_ = std::make_unique<Ort::Session>(
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env_, model_data, model_data_length, sess_opts_);
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GetInputNames(encoder_sess_.get(), &encoder_input_names_,
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&encoder_input_names_ptr_);
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GetOutputNames(encoder_sess_.get(), &encoder_output_names_,
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&encoder_output_names_ptr_);
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// get meta data
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Ort::ModelMetadata meta_data = encoder_sess_->GetModelMetadata();
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if (config_.debug) {
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std::ostringstream os;
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PrintModelMetadata(os, meta_data);
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#if __OHOS__
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SHERPA_ONNX_LOGE("%{public}s", os.str().c_str());
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#else
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SHERPA_ONNX_LOGE("%s", 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(vocab_size_, "vocab_size");
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SHERPA_ONNX_READ_META_DATA(lfr_window_size_, "lfr_window_size");
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SHERPA_ONNX_READ_META_DATA(lfr_window_shift_, "lfr_window_shift");
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SHERPA_ONNX_READ_META_DATA(encoder_output_size_, "encoder_output_size");
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SHERPA_ONNX_READ_META_DATA(decoder_num_blocks_, "decoder_num_blocks");
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SHERPA_ONNX_READ_META_DATA(decoder_kernel_size_, "decoder_kernel_size");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(neg_mean_, "neg_mean");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(inv_stddev_, "inv_stddev");
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float scale = std::sqrt(encoder_output_size_);
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for (auto &f : inv_stddev_) {
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f *= scale;
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}
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}
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void InitDecoder(void *model_data, size_t model_data_length) {
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decoder_sess_ = std::make_unique<Ort::Session>(
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env_, model_data, model_data_length, sess_opts_);
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GetInputNames(decoder_sess_.get(), &decoder_input_names_,
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&decoder_input_names_ptr_);
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GetOutputNames(decoder_sess_.get(), &decoder_output_names_,
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&decoder_output_names_ptr_);
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}
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private:
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OnlineModelConfig 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> encoder_sess_;
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std::vector<std::string> encoder_input_names_;
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std::vector<const char *> encoder_input_names_ptr_;
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std::vector<std::string> encoder_output_names_;
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std::vector<const char *> encoder_output_names_ptr_;
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std::unique_ptr<Ort::Session> decoder_sess_;
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std::vector<std::string> decoder_input_names_;
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std::vector<const char *> decoder_input_names_ptr_;
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std::vector<std::string> decoder_output_names_;
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std::vector<const char *> decoder_output_names_ptr_;
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std::vector<float> neg_mean_;
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std::vector<float> inv_stddev_;
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int32_t vocab_size_ = 0; // initialized in Init
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int32_t lfr_window_size_ = 0;
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int32_t lfr_window_shift_ = 0;
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int32_t encoder_output_size_ = 0;
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int32_t decoder_num_blocks_ = 0;
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int32_t decoder_kernel_size_ = 0;
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};
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OnlineParaformerModel::OnlineParaformerModel(const OnlineModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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template <typename Manager>
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OnlineParaformerModel::OnlineParaformerModel(Manager *mgr,
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const OnlineModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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OnlineParaformerModel::~OnlineParaformerModel() = default;
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std::vector<Ort::Value> OnlineParaformerModel::ForwardEncoder(
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Ort::Value features, Ort::Value features_length) const {
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return impl_->ForwardEncoder(std::move(features), std::move(features_length));
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}
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std::vector<Ort::Value> OnlineParaformerModel::ForwardDecoder(
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Ort::Value encoder_out, Ort::Value encoder_out_length,
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Ort::Value acoustic_embedding, Ort::Value acoustic_embedding_length,
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std::vector<Ort::Value> states) const {
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return impl_->ForwardDecoder(
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std::move(encoder_out), std::move(encoder_out_length),
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std::move(acoustic_embedding), std::move(acoustic_embedding_length),
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std::move(states));
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}
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int32_t OnlineParaformerModel::VocabSize() const { return impl_->VocabSize(); }
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int32_t OnlineParaformerModel::LfrWindowSize() const {
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return impl_->LfrWindowSize();
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}
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int32_t OnlineParaformerModel::LfrWindowShift() const {
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return impl_->LfrWindowShift();
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}
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int32_t OnlineParaformerModel::EncoderOutputSize() const {
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return impl_->EncoderOutputSize();
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}
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int32_t OnlineParaformerModel::DecoderKernelSize() const {
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return impl_->DecoderKernelSize();
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}
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int32_t OnlineParaformerModel::DecoderNumBlocks() const {
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return impl_->DecoderNumBlocks();
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}
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const std::vector<float> &OnlineParaformerModel::NegativeMean() const {
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return impl_->NegativeMean();
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}
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const std::vector<float> &OnlineParaformerModel::InverseStdDev() const {
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return impl_->InverseStdDev();
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}
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OrtAllocator *OnlineParaformerModel::Allocator() const {
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return impl_->Allocator();
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}
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#if __ANDROID_API__ >= 9
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template OnlineParaformerModel::OnlineParaformerModel(
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AAssetManager *mgr, const OnlineModelConfig &config);
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#endif
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#if __OHOS__
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template OnlineParaformerModel::OnlineParaformerModel(
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NativeResourceManager *mgr, const OnlineModelConfig &config);
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#endif
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} // namespace sherpa_onnx
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