258 lines
8.9 KiB
C++
258 lines
8.9 KiB
C++
// sherpa-onnx/csrc/offline-fire-red-asr-model.cc
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//
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// Copyright (c) 2025 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-fire-red-asr-model.h"
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#include <algorithm>
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#include <cmath>
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#include <string>
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#include <tuple>
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#include <unordered_map>
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#include <utility>
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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 OfflineFireRedAsrModel::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.fire_red_asr.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.fire_red_asr.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 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.fire_red_asr.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.fire_red_asr.decoder);
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InitDecoder(buf.data(), buf.size());
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}
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}
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std::pair<Ort::Value, 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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auto encoder_out = 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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return {std::move(encoder_out[0]), std::move(encoder_out[1])};
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}
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std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
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Ort::Value>
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ForwardDecoder(Ort::Value tokens, Ort::Value n_layer_self_k_cache,
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Ort::Value n_layer_self_v_cache, Ort::Value n_layer_cross_k,
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Ort::Value n_layer_cross_v, Ort::Value offset) {
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std::array<Ort::Value, 6> decoder_input = {std::move(tokens),
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std::move(n_layer_self_k_cache),
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std::move(n_layer_self_v_cache),
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std::move(n_layer_cross_k),
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std::move(n_layer_cross_v),
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std::move(offset)};
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auto decoder_out = decoder_sess_->Run(
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{}, decoder_input_names_ptr_.data(), decoder_input.data(),
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decoder_input.size(), decoder_output_names_ptr_.data(),
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decoder_output_names_ptr_.size());
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return std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value,
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Ort::Value, Ort::Value>{
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std::move(decoder_out[0]), std::move(decoder_out[1]),
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std::move(decoder_out[2]), std::move(decoder_input[3]),
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std::move(decoder_input[4]), std::move(decoder_input[5])};
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}
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std::pair<Ort::Value, Ort::Value> GetInitialSelfKVCache() {
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int32_t batch_size = 1;
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std::array<int64_t, 5> shape{meta_data_.num_decoder_layers, batch_size,
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meta_data_.max_len, meta_data_.num_head,
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meta_data_.head_dim};
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Ort::Value n_layer_self_k_cache = Ort::Value::CreateTensor<float>(
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Allocator(), shape.data(), shape.size());
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Ort::Value n_layer_self_v_cache = Ort::Value::CreateTensor<float>(
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Allocator(), shape.data(), shape.size());
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auto n = shape[0] * shape[1] * shape[2] * shape[3] * shape[4];
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float *p_k = n_layer_self_k_cache.GetTensorMutableData<float>();
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float *p_v = n_layer_self_v_cache.GetTensorMutableData<float>();
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memset(p_k, 0, sizeof(float) * n);
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memset(p_v, 0, sizeof(float) * n);
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return {std::move(n_layer_self_k_cache), std::move(n_layer_self_v_cache)};
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}
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OrtAllocator *Allocator() { return allocator_; }
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const OfflineFireRedAsrModelMetaData &GetModelMetadata() const {
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return meta_data_;
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}
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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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os << "---encoder---\n";
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PrintModelMetadata(os, meta_data);
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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_.num_decoder_layers,
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"num_decoder_layers");
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SHERPA_ONNX_READ_META_DATA(meta_data_.num_head, "num_head");
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SHERPA_ONNX_READ_META_DATA(meta_data_.head_dim, "head_dim");
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SHERPA_ONNX_READ_META_DATA(meta_data_.sos_id, "sos");
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SHERPA_ONNX_READ_META_DATA(meta_data_.eos_id, "eos");
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SHERPA_ONNX_READ_META_DATA(meta_data_.max_len, "max_len");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(meta_data_.mean, "cmvn_mean");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(meta_data_.inv_stddev,
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"cmvn_inv_stddev");
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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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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> encoder_sess_;
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std::unique_ptr<Ort::Session> decoder_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::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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OfflineFireRedAsrModelMetaData meta_data_;
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};
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OfflineFireRedAsrModel::OfflineFireRedAsrModel(const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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template <typename Manager>
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OfflineFireRedAsrModel::OfflineFireRedAsrModel(Manager *mgr,
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const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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OfflineFireRedAsrModel::~OfflineFireRedAsrModel() = default;
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std::pair<Ort::Value, Ort::Value> OfflineFireRedAsrModel::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::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
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Ort::Value>
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OfflineFireRedAsrModel::ForwardDecoder(Ort::Value tokens,
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Ort::Value n_layer_self_k_cache,
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Ort::Value n_layer_self_v_cache,
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Ort::Value n_layer_cross_k,
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Ort::Value n_layer_cross_v,
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Ort::Value offset) const {
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return impl_->ForwardDecoder(
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std::move(tokens), std::move(n_layer_self_k_cache),
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std::move(n_layer_self_v_cache), std::move(n_layer_cross_k),
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std::move(n_layer_cross_v), std::move(offset));
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}
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std::pair<Ort::Value, Ort::Value>
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OfflineFireRedAsrModel::GetInitialSelfKVCache() const {
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return impl_->GetInitialSelfKVCache();
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}
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OrtAllocator *OfflineFireRedAsrModel::Allocator() const {
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return impl_->Allocator();
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}
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const OfflineFireRedAsrModelMetaData &OfflineFireRedAsrModel::GetModelMetadata()
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const {
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return impl_->GetModelMetadata();
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}
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#if __ANDROID_API__ >= 9
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template OfflineFireRedAsrModel::OfflineFireRedAsrModel(
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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 OfflineFireRedAsrModel::OfflineFireRedAsrModel(
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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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