offline-speech-denoiser-gtcrn-model.cc
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// sherpa-onnx/csrc/offline-speech-denoiser-gtcrn-model.cc
//
// Copyright (c) 2025 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-speech-denoiser-gtcrn-model.h"
#include <memory>
#include <string>
#include <utility>
#include <vector>
#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/file-utils.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 OfflineSpeechDenoiserGtcrnModel::Impl {
public:
explicit Impl(const OfflineSpeechDenoiserModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(config.gtcrn.model);
Init(buf.data(), buf.size());
}
}
template <typename Manager>
Impl(Manager *mgr, const OfflineSpeechDenoiserModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(mgr, config.gtcrn.model);
Init(buf.data(), buf.size());
}
}
const OfflineSpeechDenoiserGtcrnModelMetaData &GetMetaData() const {
return meta_;
}
States GetInitStates() const {
Ort::Value conv_cache = Ort::Value::CreateTensor<float>(
allocator_, meta_.conv_cache_shape.data(),
meta_.conv_cache_shape.size());
Ort::Value tra_cache = Ort::Value::CreateTensor<float>(
allocator_, meta_.tra_cache_shape.data(), meta_.tra_cache_shape.size());
Ort::Value inter_cache = Ort::Value::CreateTensor<float>(
allocator_, meta_.inter_cache_shape.data(),
meta_.inter_cache_shape.size());
Fill<float>(&conv_cache, 0);
Fill<float>(&tra_cache, 0);
Fill<float>(&inter_cache, 0);
std::vector<Ort::Value> states;
states.reserve(3);
states.push_back(std::move(conv_cache));
states.push_back(std::move(tra_cache));
states.push_back(std::move(inter_cache));
return states;
}
std::pair<Ort::Value, States> Run(Ort::Value x, States states) const {
std::vector<Ort::Value> inputs;
inputs.reserve(1 + states.size());
inputs.push_back(std::move(x));
for (auto &s : states) {
inputs.push_back(std::move(s));
}
auto out =
sess_->Run({}, input_names_ptr_.data(), inputs.data(), inputs.size(),
output_names_ptr_.data(), output_names_ptr_.size());
std::vector<Ort::Value> next_states;
next_states.reserve(out.size() - 1);
for (int32_t k = 1; k < out.size(); ++k) {
next_states.push_back(std::move(out[k]));
}
return {std::move(out[0]), std::move(next_states)};
}
private:
void Init(void *model_data, size_t model_data_length) {
sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
sess_opts_);
GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
if (config_.debug) {
std::ostringstream os;
os << "---gtcrn model---\n";
PrintModelMetadata(os, meta_data);
os << "----------input names----------\n";
int32_t i = 0;
for (const auto &s : input_names_) {
os << i << " " << s << "\n";
++i;
}
os << "----------output names----------\n";
i = 0;
for (const auto &s : output_names_) {
os << i << " " << s << "\n";
++i;
}
#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
std::string model_type;
SHERPA_ONNX_READ_META_DATA_STR(model_type, "model_type");
if (model_type != "gtcrn") {
SHERPA_ONNX_LOGE("Expect model type 'gtcrn'. Given: '%s'",
model_type.c_str());
SHERPA_ONNX_EXIT(-1);
}
SHERPA_ONNX_READ_META_DATA(meta_.sample_rate, "sample_rate");
SHERPA_ONNX_READ_META_DATA(meta_.n_fft, "n_fft");
SHERPA_ONNX_READ_META_DATA(meta_.hop_length, "hop_length");
SHERPA_ONNX_READ_META_DATA(meta_.window_length, "window_length");
SHERPA_ONNX_READ_META_DATA_STR(meta_.window_type, "window_type");
SHERPA_ONNX_READ_META_DATA(meta_.version, "version");
SHERPA_ONNX_READ_META_DATA_VEC(meta_.conv_cache_shape, "conv_cache_shape");
SHERPA_ONNX_READ_META_DATA_VEC(meta_.tra_cache_shape, "tra_cache_shape");
SHERPA_ONNX_READ_META_DATA_VEC(meta_.inter_cache_shape,
"inter_cache_shape");
}
private:
OfflineSpeechDenoiserModelConfig config_;
OfflineSpeechDenoiserGtcrnModelMetaData meta_;
Ort::Env env_;
Ort::SessionOptions sess_opts_;
Ort::AllocatorWithDefaultOptions allocator_;
std::unique_ptr<Ort::Session> sess_;
std::vector<std::string> input_names_;
std::vector<const char *> input_names_ptr_;
std::vector<std::string> output_names_;
std::vector<const char *> output_names_ptr_;
};
OfflineSpeechDenoiserGtcrnModel::~OfflineSpeechDenoiserGtcrnModel() = default;
OfflineSpeechDenoiserGtcrnModel::OfflineSpeechDenoiserGtcrnModel(
const OfflineSpeechDenoiserModelConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
template <typename Manager>
OfflineSpeechDenoiserGtcrnModel::OfflineSpeechDenoiserGtcrnModel(
Manager *mgr, const OfflineSpeechDenoiserModelConfig &config)
: impl_(std::make_unique<Impl>(mgr, config)) {}
OfflineSpeechDenoiserGtcrnModel::States
OfflineSpeechDenoiserGtcrnModel::GetInitStates() const {
return impl_->GetInitStates();
}
std::pair<Ort::Value, OfflineSpeechDenoiserGtcrnModel::States>
OfflineSpeechDenoiserGtcrnModel::Run(Ort::Value x, States states) const {
return impl_->Run(std::move(x), std::move(states));
}
const OfflineSpeechDenoiserGtcrnModelMetaData &
OfflineSpeechDenoiserGtcrnModel::GetMetaData() const {
return impl_->GetMetaData();
}
#if __ANDROID_API__ >= 9
template OfflineSpeechDenoiserGtcrnModel::OfflineSpeechDenoiserGtcrnModel(
AAssetManager *mgr, const OfflineSpeechDenoiserModelConfig &config);
#endif
#if __OHOS__
template OfflineSpeechDenoiserGtcrnModel::OfflineSpeechDenoiserGtcrnModel(
NativeResourceManager *mgr, const OfflineSpeechDenoiserModelConfig &config);
#endif
} // namespace sherpa_onnx