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