165 lines
4.9 KiB
C++
165 lines
4.9 KiB
C++
// sherpa-onnx/csrc/offline-ct-transformer-model.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-ct-transformer-model.h"
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#include <string>
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#include <vector>
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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 OfflineCtTransformerModel::Impl {
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public:
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explicit Impl(const OfflinePunctuationModelConfig &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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auto buf = ReadFile(config_.ct_transformer);
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Init(buf.data(), buf.size());
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}
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#if __ANDROID_API__ >= 9
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Impl(AAssetManager *mgr, const OfflinePunctuationModelConfig &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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auto buf = ReadFile(mgr, config_.ct_transformer);
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Init(buf.data(), buf.size());
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}
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#endif
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Ort::Value Forward(Ort::Value text, Ort::Value text_len) {
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std::array<Ort::Value, 2> inputs = {std::move(text), std::move(text_len)};
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auto ans =
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sess_->Run({}, input_names_ptr_.data(), inputs.data(), inputs.size(),
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output_names_ptr_.data(), output_names_ptr_.size());
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return std::move(ans[0]);
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}
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OrtAllocator *Allocator() const { return allocator_; }
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const OfflineCtTransformerModelMetaData &GetModelMetadata() const {
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return meta_data_;
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}
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private:
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void Init(void *model_data, size_t model_data_length) {
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sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
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sess_opts_);
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GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
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GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
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// get meta data
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Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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std::vector<std::string> tokens;
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SHERPA_ONNX_READ_META_DATA_VEC_STRING_SEP(tokens, "tokens", "|");
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int32_t vocab_size = 0;
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SHERPA_ONNX_READ_META_DATA(vocab_size, "vocab_size");
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if (static_cast<int32_t>(tokens.size()) != vocab_size) {
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SHERPA_ONNX_LOGE("tokens.size() %d != vocab_size %d",
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static_cast<int32_t>(tokens.size()), vocab_size);
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exit(-1);
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}
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SHERPA_ONNX_READ_META_DATA_VEC_STRING_SEP(meta_data_.id2punct,
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"punctuations", "|");
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std::string unk_symbol;
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SHERPA_ONNX_READ_META_DATA_STR(unk_symbol, "unk_symbol");
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// output shape is (N, T, num_punctuations)
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meta_data_.num_punctuations =
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sess_->GetOutputTypeInfo(0).GetTensorTypeAndShapeInfo().GetShape()[2];
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int32_t i = 0;
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for (const auto &t : tokens) {
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meta_data_.token2id[t] = i;
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i += 1;
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}
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i = 0;
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for (const auto &p : meta_data_.id2punct) {
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meta_data_.punct2id[p] = i;
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i += 1;
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}
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meta_data_.unk_id = meta_data_.token2id.at(unk_symbol);
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meta_data_.dot_id = meta_data_.punct2id.at("。");
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meta_data_.comma_id = meta_data_.punct2id.at(",");
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meta_data_.quest_id = meta_data_.punct2id.at("?");
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meta_data_.pause_id = meta_data_.punct2id.at("、");
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meta_data_.underline_id = meta_data_.punct2id.at("_");
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if (config_.debug) {
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std::ostringstream os;
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os << "vocab_size: " << meta_data_.token2id.size() << "\n";
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os << "num_punctuations: " << meta_data_.num_punctuations << "\n";
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os << "punctuations: ";
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for (const auto &s : meta_data_.id2punct) {
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os << s << " ";
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}
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os << "\n";
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SHERPA_ONNX_LOGE("\n%s\n", os.str().c_str());
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}
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}
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private:
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OfflinePunctuationModelConfig 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> sess_;
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std::vector<std::string> input_names_;
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std::vector<const char *> input_names_ptr_;
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std::vector<std::string> output_names_;
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std::vector<const char *> output_names_ptr_;
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OfflineCtTransformerModelMetaData meta_data_;
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};
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OfflineCtTransformerModel::OfflineCtTransformerModel(
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const OfflinePunctuationModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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#if __ANDROID_API__ >= 9
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OfflineCtTransformerModel::OfflineCtTransformerModel(
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AAssetManager *mgr, const OfflinePunctuationModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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#endif
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OfflineCtTransformerModel::~OfflineCtTransformerModel() = default;
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Ort::Value OfflineCtTransformerModel::Forward(Ort::Value text,
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Ort::Value text_len) const {
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return impl_->Forward(std::move(text), std::move(text_len));
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}
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OrtAllocator *OfflineCtTransformerModel::Allocator() const {
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return impl_->Allocator();
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}
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const OfflineCtTransformerModelMetaData &
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OfflineCtTransformerModel::GetModelMetadata() const {
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return impl_->GetModelMetadata();
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}
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} // namespace sherpa_onnx
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