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Add C++ and Python API for FireRedASR AED models (#1867)

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This commit is contained in:
Fangjun Kuang
2025-02-16 22:45:24 +08:00
committed by GitHub
parent 2337169ee2
commit 316424b382
20 changed files with 1019 additions and 26 deletions
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sherpa-onnx/csrc/offline-fire-red-asr-model.cc Normal file
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// sherpa-onnx/csrc/offline-fire-red-asr-model.cc
//
// Copyright (c) 2025 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-fire-red-asr-model.h"
#include <algorithm>
#include <cmath>
#include <string>
#include <tuple>
#include <unordered_map>
#include <utility>
#if __ANDROID_API__ >= 9
#include "android/asset_manager.h"
#include "android/asset_manager_jni.h"
#endif
#if __OHOS__
#include "rawfile/raw_file_manager.h"
#endif
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/session.h"
#include "sherpa-onnx/csrc/text-utils.h"
namespace sherpa_onnx {
class OfflineFireRedAsrModel::Impl {
public:
explicit Impl(const OfflineModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(config.fire_red_asr.encoder);
InitEncoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(config.fire_red_asr.decoder);
InitDecoder(buf.data(), buf.size());
}
}
template <typename Manager>
Impl(Manager *mgr, const OfflineModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(mgr, config.fire_red_asr.encoder);
InitEncoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(mgr, config.fire_red_asr.decoder);
InitDecoder(buf.data(), buf.size());
}
}
std::pair<Ort::Value, Ort::Value> ForwardEncoder(Ort::Value features,
Ort::Value features_length) {
std::array<Ort::Value, 2> inputs{std::move(features),
std::move(features_length)};
auto encoder_out = encoder_sess_->Run(
{}, encoder_input_names_ptr_.data(), inputs.data(), inputs.size(),
encoder_output_names_ptr_.data(), encoder_output_names_ptr_.size());
return {std::move(encoder_out[0]), std::move(encoder_out[1])};
}
std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
Ort::Value>
ForwardDecoder(Ort::Value tokens, Ort::Value n_layer_self_k_cache,
Ort::Value n_layer_self_v_cache, Ort::Value n_layer_cross_k,
Ort::Value n_layer_cross_v, Ort::Value offset) {
std::array<Ort::Value, 6> decoder_input = {std::move(tokens),
std::move(n_layer_self_k_cache),
std::move(n_layer_self_v_cache),
std::move(n_layer_cross_k),
std::move(n_layer_cross_v),
std::move(offset)};
auto decoder_out = decoder_sess_->Run(
{}, decoder_input_names_ptr_.data(), decoder_input.data(),
decoder_input.size(), decoder_output_names_ptr_.data(),
decoder_output_names_ptr_.size());
return std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value,
Ort::Value, Ort::Value>{
std::move(decoder_out[0]), std::move(decoder_out[1]),
std::move(decoder_out[2]), std::move(decoder_input[3]),
std::move(decoder_input[4]), std::move(decoder_input[5])};
}
std::pair<Ort::Value, Ort::Value> GetInitialSelfKVCache() {
int32_t batch_size = 1;
std::array<int64_t, 5> shape{meta_data_.num_decoder_layers, batch_size,
meta_data_.max_len, meta_data_.num_head,
meta_data_.head_dim};
Ort::Value n_layer_self_k_cache = Ort::Value::CreateTensor<float>(
Allocator(), shape.data(), shape.size());
Ort::Value n_layer_self_v_cache = Ort::Value::CreateTensor<float>(
Allocator(), shape.data(), shape.size());
auto n = shape[0] * shape[1] * shape[2] * shape[3] * shape[4];
float *p_k = n_layer_self_k_cache.GetTensorMutableData<float>();
float *p_v = n_layer_self_v_cache.GetTensorMutableData<float>();
memset(p_k, 0, sizeof(float) * n);
memset(p_v, 0, sizeof(float) * n);
return {std::move(n_layer_self_k_cache), std::move(n_layer_self_v_cache)};
}
OrtAllocator *Allocator() { return allocator_; }
const OfflineFireRedAsrModelMetaData &GetModelMetadata() const {
return meta_data_;
}
private:
void InitEncoder(void *model_data, size_t model_data_length) {
encoder_sess_ = std::make_unique<Ort::Session>(
env_, model_data, model_data_length, sess_opts_);
GetInputNames(encoder_sess_.get(), &encoder_input_names_,
&encoder_input_names_ptr_);
GetOutputNames(encoder_sess_.get(), &encoder_output_names_,
&encoder_output_names_ptr_);
// get meta data
Ort::ModelMetadata meta_data = encoder_sess_->GetModelMetadata();
if (config_.debug) {
std::ostringstream os;
os << "---encoder---\n";
PrintModelMetadata(os, meta_data);
#if __OHOS__
SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
#else
SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
#endif
}
Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
SHERPA_ONNX_READ_META_DATA(meta_data_.num_decoder_layers,
"num_decoder_layers");
SHERPA_ONNX_READ_META_DATA(meta_data_.num_head, "num_head");
SHERPA_ONNX_READ_META_DATA(meta_data_.head_dim, "head_dim");
SHERPA_ONNX_READ_META_DATA(meta_data_.sos_id, "sos");
SHERPA_ONNX_READ_META_DATA(meta_data_.eos_id, "eos");
SHERPA_ONNX_READ_META_DATA(meta_data_.max_len, "max_len");
SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(meta_data_.mean, "cmvn_mean");
SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(meta_data_.inv_stddev,
"cmvn_inv_stddev");
}
void InitDecoder(void *model_data, size_t model_data_length) {
decoder_sess_ = std::make_unique<Ort::Session>(
env_, model_data, model_data_length, sess_opts_);
GetInputNames(decoder_sess_.get(), &decoder_input_names_,
&decoder_input_names_ptr_);
GetOutputNames(decoder_sess_.get(), &decoder_output_names_,
&decoder_output_names_ptr_);
}
private:
OfflineModelConfig config_;
Ort::Env env_;
Ort::SessionOptions sess_opts_;
Ort::AllocatorWithDefaultOptions allocator_;
std::unique_ptr<Ort::Session> encoder_sess_;
std::unique_ptr<Ort::Session> decoder_sess_;
std::vector<std::string> encoder_input_names_;
std::vector<const char *> encoder_input_names_ptr_;
std::vector<std::string> encoder_output_names_;
std::vector<const char *> encoder_output_names_ptr_;
std::vector<std::string> decoder_input_names_;
std::vector<const char *> decoder_input_names_ptr_;
std::vector<std::string> decoder_output_names_;
std::vector<const char *> decoder_output_names_ptr_;
OfflineFireRedAsrModelMetaData meta_data_;
};
OfflineFireRedAsrModel::OfflineFireRedAsrModel(const OfflineModelConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
template <typename Manager>
OfflineFireRedAsrModel::OfflineFireRedAsrModel(Manager *mgr,
const OfflineModelConfig &config)
: impl_(std::make_unique<Impl>(mgr, config)) {}
OfflineFireRedAsrModel::~OfflineFireRedAsrModel() = default;
std::pair<Ort::Value, Ort::Value> OfflineFireRedAsrModel::ForwardEncoder(
Ort::Value features, Ort::Value features_length) const {
return impl_->ForwardEncoder(std::move(features), std::move(features_length));
}
std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
Ort::Value>
OfflineFireRedAsrModel::ForwardDecoder(Ort::Value tokens,
Ort::Value n_layer_self_k_cache,
Ort::Value n_layer_self_v_cache,
Ort::Value n_layer_cross_k,
Ort::Value n_layer_cross_v,
Ort::Value offset) const {
return impl_->ForwardDecoder(
std::move(tokens), std::move(n_layer_self_k_cache),
std::move(n_layer_self_v_cache), std::move(n_layer_cross_k),
std::move(n_layer_cross_v), std::move(offset));
}
std::pair<Ort::Value, Ort::Value>
OfflineFireRedAsrModel::GetInitialSelfKVCache() const {
return impl_->GetInitialSelfKVCache();
}
OrtAllocator *OfflineFireRedAsrModel::Allocator() const {
return impl_->Allocator();
}
const OfflineFireRedAsrModelMetaData &OfflineFireRedAsrModel::GetModelMetadata()
const {
return impl_->GetModelMetadata();
}
#if __ANDROID_API__ >= 9
template OfflineFireRedAsrModel::OfflineFireRedAsrModel(
AAssetManager *mgr, const OfflineModelConfig &config);
#endif
#if __OHOS__
template OfflineFireRedAsrModel::OfflineFireRedAsrModel(
NativeResourceManager *mgr, const OfflineModelConfig &config);
#endif
} // namespace sherpa_onnx