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Add C++ runtime and Python APIs for Moonshine models (#1473)

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This commit is contained in:
Fangjun Kuang
2024-10-26 14:34:07 +08:00
committed by GitHub
parent 0f2732e4e8
commit 669f5ef441
33 changed files with 1572 additions and 36 deletions
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sherpa-onnx/csrc/offline-moonshine-model.cc Normal file
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// sherpa-onnx/csrc/offline-moonshine-model.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-moonshine-model.h"
#include <string>
#include <utility>
#include <vector>
#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 OfflineMoonshineModel::Impl {
public:
explicit Impl(const OfflineModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(config.moonshine.preprocessor);
InitPreprocessor(buf.data(), buf.size());
}
{
auto buf = ReadFile(config.moonshine.encoder);
InitEncoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(config.moonshine.uncached_decoder);
InitUnCachedDecoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(config.moonshine.cached_decoder);
InitCachedDecoder(buf.data(), buf.size());
}
}
#if __ANDROID_API__ >= 9
Impl(AAssetManager *mgr, const OfflineModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
{
auto buf = ReadFile(mgr, config.moonshine.preprocessor);
InitPreprocessor(buf.data(), buf.size());
}
{
auto buf = ReadFile(mgr, config.moonshine.encoder);
InitEncoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(mgr, config.moonshine.uncached_decoder);
InitUnCachedDecoder(buf.data(), buf.size());
}
{
auto buf = ReadFile(mgr, config.moonshine.cached_decoder);
InitCachedDecoder(buf.data(), buf.size());
}
}
#endif
Ort::Value ForwardPreprocessor(Ort::Value audio) {
auto features = preprocessor_sess_->Run(
{}, preprocessor_input_names_ptr_.data(), &audio, 1,
preprocessor_output_names_ptr_.data(),
preprocessor_output_names_ptr_.size());
return std::move(features[0]);
}
Ort::Value ForwardEncoder(Ort::Value features, Ort::Value features_len) {
std::array<Ort::Value, 2> encoder_inputs{std::move(features),
std::move(features_len)};
auto encoder_out = encoder_sess_->Run(
{}, encoder_input_names_ptr_.data(), encoder_inputs.data(),
encoder_inputs.size(), encoder_output_names_ptr_.data(),
encoder_output_names_ptr_.size());
return std::move(encoder_out[0]);
}
std::pair<Ort::Value, std::vector<Ort::Value>> ForwardUnCachedDecoder(
Ort::Value tokens, Ort::Value seq_len, Ort::Value encoder_out) {
std::array<Ort::Value, 3> uncached_decoder_input = {
std::move(tokens),
std::move(encoder_out),
std::move(seq_len),
};
auto uncached_decoder_out = uncached_decoder_sess_->Run(
{}, uncached_decoder_input_names_ptr_.data(),
uncached_decoder_input.data(), uncached_decoder_input.size(),
uncached_decoder_output_names_ptr_.data(),
uncached_decoder_output_names_ptr_.size());
std::vector<Ort::Value> states;
states.reserve(uncached_decoder_out.size() - 1);
int32_t i = -1;
for (auto &s : uncached_decoder_out) {
++i;
if (i == 0) {
continue;
}
states.push_back(std::move(s));
}
return {std::move(uncached_decoder_out[0]), std::move(states)};
}
std::pair<Ort::Value, std::vector<Ort::Value>> ForwardCachedDecoder(
Ort::Value tokens, Ort::Value seq_len, Ort::Value encoder_out,
std::vector<Ort::Value> states) {
std::vector<Ort::Value> cached_decoder_input;
cached_decoder_input.reserve(3 + states.size());
cached_decoder_input.push_back(std::move(tokens));
cached_decoder_input.push_back(std::move(encoder_out));
cached_decoder_input.push_back(std::move(seq_len));
for (auto &s : states) {
cached_decoder_input.push_back(std::move(s));
}
auto cached_decoder_out = cached_decoder_sess_->Run(
{}, cached_decoder_input_names_ptr_.data(), cached_decoder_input.data(),
cached_decoder_input.size(), cached_decoder_output_names_ptr_.data(),
cached_decoder_output_names_ptr_.size());
std::vector<Ort::Value> next_states;
next_states.reserve(cached_decoder_out.size() - 1);
int32_t i = -1;
for (auto &s : cached_decoder_out) {
++i;
if (i == 0) {
continue;
}
next_states.push_back(std::move(s));
}
return {std::move(cached_decoder_out[0]), std::move(next_states)};
}
OrtAllocator *Allocator() const { return allocator_; }
private:
void InitPreprocessor(void *model_data, size_t model_data_length) {
preprocessor_sess_ = std::make_unique<Ort::Session>(
env_, model_data, model_data_length, sess_opts_);
GetInputNames(preprocessor_sess_.get(), &preprocessor_input_names_,
&preprocessor_input_names_ptr_);
GetOutputNames(preprocessor_sess_.get(), &preprocessor_output_names_,
&preprocessor_output_names_ptr_);
}
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_);
}
void InitUnCachedDecoder(void *model_data, size_t model_data_length) {
uncached_decoder_sess_ = std::make_unique<Ort::Session>(
env_, model_data, model_data_length, sess_opts_);
GetInputNames(uncached_decoder_sess_.get(), &uncached_decoder_input_names_,
&uncached_decoder_input_names_ptr_);
GetOutputNames(uncached_decoder_sess_.get(),
&uncached_decoder_output_names_,
&uncached_decoder_output_names_ptr_);
}
void InitCachedDecoder(void *model_data, size_t model_data_length) {
cached_decoder_sess_ = std::make_unique<Ort::Session>(
env_, model_data, model_data_length, sess_opts_);
GetInputNames(cached_decoder_sess_.get(), &cached_decoder_input_names_,
&cached_decoder_input_names_ptr_);
GetOutputNames(cached_decoder_sess_.get(), &cached_decoder_output_names_,
&cached_decoder_output_names_ptr_);
}
private:
OfflineModelConfig config_;
Ort::Env env_;
Ort::SessionOptions sess_opts_;
Ort::AllocatorWithDefaultOptions allocator_;
std::unique_ptr<Ort::Session> preprocessor_sess_;
std::unique_ptr<Ort::Session> encoder_sess_;
std::unique_ptr<Ort::Session> uncached_decoder_sess_;
std::unique_ptr<Ort::Session> cached_decoder_sess_;
std::vector<std::string> preprocessor_input_names_;
std::vector<const char *> preprocessor_input_names_ptr_;
std::vector<std::string> preprocessor_output_names_;
std::vector<const char *> preprocessor_output_names_ptr_;
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> uncached_decoder_input_names_;
std::vector<const char *> uncached_decoder_input_names_ptr_;
std::vector<std::string> uncached_decoder_output_names_;
std::vector<const char *> uncached_decoder_output_names_ptr_;
std::vector<std::string> cached_decoder_input_names_;
std::vector<const char *> cached_decoder_input_names_ptr_;
std::vector<std::string> cached_decoder_output_names_;
std::vector<const char *> cached_decoder_output_names_ptr_;
};
OfflineMoonshineModel::OfflineMoonshineModel(const OfflineModelConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
#if __ANDROID_API__ >= 9
OfflineMoonshineModel::OfflineMoonshineModel(AAssetManager *mgr,
const OfflineModelConfig &config)
: impl_(std::make_unique<Impl>(mgr, config)) {}
#endif
OfflineMoonshineModel::~OfflineMoonshineModel() = default;
Ort::Value OfflineMoonshineModel::ForwardPreprocessor(Ort::Value audio) const {
return impl_->ForwardPreprocessor(std::move(audio));
}
Ort::Value OfflineMoonshineModel::ForwardEncoder(
Ort::Value features, Ort::Value features_len) const {
return impl_->ForwardEncoder(std::move(features), std::move(features_len));
}
std::pair<Ort::Value, std::vector<Ort::Value>>
OfflineMoonshineModel::ForwardUnCachedDecoder(Ort::Value token,
Ort::Value seq_len,
Ort::Value encoder_out) const {
return impl_->ForwardUnCachedDecoder(std::move(token), std::move(seq_len),
std::move(encoder_out));
}
std::pair<Ort::Value, std::vector<Ort::Value>>
OfflineMoonshineModel::ForwardCachedDecoder(
Ort::Value token, Ort::Value seq_len, Ort::Value encoder_out,
std::vector<Ort::Value> states) const {
return impl_->ForwardCachedDecoder(std::move(token), std::move(seq_len),
std::move(encoder_out), std::move(states));
}
OrtAllocator *OfflineMoonshineModel::Allocator() const {
return impl_->Allocator();
}
} // namespace sherpa_onnx