301 lines
9.7 KiB
C++
301 lines
9.7 KiB
C++
// sherpa-onnx/csrc/offline-moonshine-model.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-moonshine-model.h"
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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/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 OfflineMoonshineModel::Impl {
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public:
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explicit Impl(const OfflineModelConfig &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.moonshine.preprocessor);
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InitPreprocessor(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(config.moonshine.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.moonshine.uncached_decoder);
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InitUnCachedDecoder(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(config.moonshine.cached_decoder);
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InitCachedDecoder(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 OfflineModelConfig &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.moonshine.preprocessor);
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InitPreprocessor(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(mgr, config.moonshine.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.moonshine.uncached_decoder);
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InitUnCachedDecoder(buf.data(), buf.size());
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}
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{
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auto buf = ReadFile(mgr, config.moonshine.cached_decoder);
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InitCachedDecoder(buf.data(), buf.size());
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}
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}
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Ort::Value ForwardPreprocessor(Ort::Value audio) {
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auto features = preprocessor_sess_->Run(
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{}, preprocessor_input_names_ptr_.data(), &audio, 1,
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preprocessor_output_names_ptr_.data(),
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preprocessor_output_names_ptr_.size());
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return std::move(features[0]);
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}
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Ort::Value ForwardEncoder(Ort::Value features, Ort::Value features_len) {
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std::array<Ort::Value, 2> encoder_inputs{std::move(features),
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std::move(features_len)};
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auto encoder_out = encoder_sess_->Run(
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{}, encoder_input_names_ptr_.data(), encoder_inputs.data(),
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encoder_inputs.size(), encoder_output_names_ptr_.data(),
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encoder_output_names_ptr_.size());
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return std::move(encoder_out[0]);
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}
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std::pair<Ort::Value, std::vector<Ort::Value>> ForwardUnCachedDecoder(
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Ort::Value tokens, Ort::Value seq_len, Ort::Value encoder_out) {
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std::array<Ort::Value, 3> uncached_decoder_input = {
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std::move(tokens),
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std::move(encoder_out),
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std::move(seq_len),
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};
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auto uncached_decoder_out = uncached_decoder_sess_->Run(
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{}, uncached_decoder_input_names_ptr_.data(),
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uncached_decoder_input.data(), uncached_decoder_input.size(),
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uncached_decoder_output_names_ptr_.data(),
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uncached_decoder_output_names_ptr_.size());
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std::vector<Ort::Value> states;
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states.reserve(uncached_decoder_out.size() - 1);
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int32_t i = -1;
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for (auto &s : uncached_decoder_out) {
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++i;
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if (i == 0) {
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continue;
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}
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states.push_back(std::move(s));
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}
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return {std::move(uncached_decoder_out[0]), std::move(states)};
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}
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std::pair<Ort::Value, std::vector<Ort::Value>> ForwardCachedDecoder(
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Ort::Value tokens, Ort::Value seq_len, Ort::Value encoder_out,
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std::vector<Ort::Value> states) {
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std::vector<Ort::Value> cached_decoder_input;
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cached_decoder_input.reserve(3 + states.size());
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cached_decoder_input.push_back(std::move(tokens));
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cached_decoder_input.push_back(std::move(encoder_out));
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cached_decoder_input.push_back(std::move(seq_len));
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for (auto &s : states) {
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cached_decoder_input.push_back(std::move(s));
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}
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auto cached_decoder_out = cached_decoder_sess_->Run(
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{}, cached_decoder_input_names_ptr_.data(), cached_decoder_input.data(),
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cached_decoder_input.size(), cached_decoder_output_names_ptr_.data(),
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cached_decoder_output_names_ptr_.size());
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std::vector<Ort::Value> next_states;
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next_states.reserve(cached_decoder_out.size() - 1);
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int32_t i = -1;
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for (auto &s : cached_decoder_out) {
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++i;
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if (i == 0) {
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continue;
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}
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next_states.push_back(std::move(s));
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}
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return {std::move(cached_decoder_out[0]), std::move(next_states)};
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}
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OrtAllocator *Allocator() { return allocator_; }
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private:
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void InitPreprocessor(void *model_data, size_t model_data_length) {
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preprocessor_sess_ = std::make_unique<Ort::Session>(
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env_, model_data, model_data_length, sess_opts_);
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GetInputNames(preprocessor_sess_.get(), &preprocessor_input_names_,
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&preprocessor_input_names_ptr_);
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GetOutputNames(preprocessor_sess_.get(), &preprocessor_output_names_,
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&preprocessor_output_names_ptr_);
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}
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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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}
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void InitUnCachedDecoder(void *model_data, size_t model_data_length) {
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uncached_decoder_sess_ = std::make_unique<Ort::Session>(
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env_, model_data, model_data_length, sess_opts_);
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GetInputNames(uncached_decoder_sess_.get(), &uncached_decoder_input_names_,
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&uncached_decoder_input_names_ptr_);
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GetOutputNames(uncached_decoder_sess_.get(),
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&uncached_decoder_output_names_,
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&uncached_decoder_output_names_ptr_);
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}
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void InitCachedDecoder(void *model_data, size_t model_data_length) {
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cached_decoder_sess_ = std::make_unique<Ort::Session>(
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env_, model_data, model_data_length, sess_opts_);
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GetInputNames(cached_decoder_sess_.get(), &cached_decoder_input_names_,
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&cached_decoder_input_names_ptr_);
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GetOutputNames(cached_decoder_sess_.get(), &cached_decoder_output_names_,
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&cached_decoder_output_names_ptr_);
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}
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private:
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OfflineModelConfig 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> preprocessor_sess_;
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std::unique_ptr<Ort::Session> encoder_sess_;
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std::unique_ptr<Ort::Session> uncached_decoder_sess_;
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std::unique_ptr<Ort::Session> cached_decoder_sess_;
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std::vector<std::string> preprocessor_input_names_;
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std::vector<const char *> preprocessor_input_names_ptr_;
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std::vector<std::string> preprocessor_output_names_;
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std::vector<const char *> preprocessor_output_names_ptr_;
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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::vector<std::string> uncached_decoder_input_names_;
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std::vector<const char *> uncached_decoder_input_names_ptr_;
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std::vector<std::string> uncached_decoder_output_names_;
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std::vector<const char *> uncached_decoder_output_names_ptr_;
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std::vector<std::string> cached_decoder_input_names_;
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std::vector<const char *> cached_decoder_input_names_ptr_;
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std::vector<std::string> cached_decoder_output_names_;
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std::vector<const char *> cached_decoder_output_names_ptr_;
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};
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OfflineMoonshineModel::OfflineMoonshineModel(const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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template <typename Manager>
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OfflineMoonshineModel::OfflineMoonshineModel(Manager *mgr,
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const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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OfflineMoonshineModel::~OfflineMoonshineModel() = default;
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Ort::Value OfflineMoonshineModel::ForwardPreprocessor(Ort::Value audio) const {
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return impl_->ForwardPreprocessor(std::move(audio));
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}
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Ort::Value OfflineMoonshineModel::ForwardEncoder(
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Ort::Value features, Ort::Value features_len) const {
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return impl_->ForwardEncoder(std::move(features), std::move(features_len));
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}
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std::pair<Ort::Value, std::vector<Ort::Value>>
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OfflineMoonshineModel::ForwardUnCachedDecoder(Ort::Value token,
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Ort::Value seq_len,
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Ort::Value encoder_out) const {
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return impl_->ForwardUnCachedDecoder(std::move(token), std::move(seq_len),
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std::move(encoder_out));
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}
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std::pair<Ort::Value, std::vector<Ort::Value>>
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OfflineMoonshineModel::ForwardCachedDecoder(
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Ort::Value token, Ort::Value seq_len, Ort::Value encoder_out,
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std::vector<Ort::Value> states) const {
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return impl_->ForwardCachedDecoder(std::move(token), std::move(seq_len),
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std::move(encoder_out), std::move(states));
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}
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OrtAllocator *OfflineMoonshineModel::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 OfflineMoonshineModel::OfflineMoonshineModel(
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AAssetManager *mgr, const OfflineModelConfig &config);
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#endif
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#if __OHOS__
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template OfflineMoonshineModel::OfflineMoonshineModel(
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NativeResourceManager *mgr, const OfflineModelConfig &config);
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#endif
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} // namespace sherpa_onnx
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