133 lines
4.0 KiB
C++
133 lines
4.0 KiB
C++
// sherpa-onnx/csrc/offline-paraformer-model.cc
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-paraformer-model.h"
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#include <algorithm>
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#include <string>
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/onnx-utils.h"
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#include "sherpa-onnx/csrc/text-utils.h"
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namespace sherpa_onnx {
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class OfflineParaformerModel::Impl {
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public:
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explicit Impl(const OfflineModelConfig &config)
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: config_(config),
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env_(ORT_LOGGING_LEVEL_ERROR),
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sess_opts_{},
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allocator_{} {
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sess_opts_.SetIntraOpNumThreads(config_.num_threads);
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sess_opts_.SetInterOpNumThreads(config_.num_threads);
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Init();
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}
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std::pair<Ort::Value, Ort::Value> Forward(Ort::Value features,
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Ort::Value features_length) {
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std::array<Ort::Value, 2> inputs = {std::move(features),
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std::move(features_length)};
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auto out =
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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(out[0]), std::move(out[1])};
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}
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int32_t VocabSize() const { return vocab_size_; }
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int32_t LfrWindowSize() const { return lfr_window_size_; }
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int32_t LfrWindowShift() const { return lfr_window_shift_; }
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const std::vector<float> &NegativeMean() const { return neg_mean_; }
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const std::vector<float> &InverseStdDev() const { return inv_stddev_; }
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OrtAllocator *Allocator() const { return allocator_; }
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private:
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void Init() {
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auto buf = ReadFile(config_.paraformer.model);
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sess_ = std::make_unique<Ort::Session>(env_, buf.data(), buf.size(),
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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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if (config_.debug) {
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std::ostringstream os;
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PrintModelMetadata(os, meta_data);
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SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
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}
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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SHERPA_ONNX_READ_META_DATA(vocab_size_, "vocab_size");
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SHERPA_ONNX_READ_META_DATA(lfr_window_size_, "lfr_window_size");
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SHERPA_ONNX_READ_META_DATA(lfr_window_shift_, "lfr_window_shift");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(neg_mean_, "neg_mean");
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SHERPA_ONNX_READ_META_DATA_VEC_FLOAT(inv_stddev_, "inv_stddev");
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}
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private:
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OfflineModelConfig 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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std::vector<float> neg_mean_;
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std::vector<float> inv_stddev_;
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int32_t vocab_size_ = 0; // initialized in Init
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int32_t lfr_window_size_ = 0;
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int32_t lfr_window_shift_ = 0;
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};
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OfflineParaformerModel::OfflineParaformerModel(const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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OfflineParaformerModel::~OfflineParaformerModel() = default;
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std::pair<Ort::Value, Ort::Value> OfflineParaformerModel::Forward(
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Ort::Value features, Ort::Value features_length) {
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return impl_->Forward(std::move(features), std::move(features_length));
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}
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int32_t OfflineParaformerModel::VocabSize() const { return impl_->VocabSize(); }
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int32_t OfflineParaformerModel::LfrWindowSize() const {
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return impl_->LfrWindowSize();
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}
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int32_t OfflineParaformerModel::LfrWindowShift() const {
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return impl_->LfrWindowShift();
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}
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const std::vector<float> &OfflineParaformerModel::NegativeMean() const {
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return impl_->NegativeMean();
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}
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const std::vector<float> &OfflineParaformerModel::InverseStdDev() const {
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return impl_->InverseStdDev();
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}
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OrtAllocator *OfflineParaformerModel::Allocator() const {
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return impl_->Allocator();
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}
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} // namespace sherpa_onnx
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