offline-tdnn-ctc-model.cc
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// sherpa-onnx/csrc/offline-tdnn-ctc-model.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-tdnn-ctc-model.h"
#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"
#include "sherpa-onnx/csrc/transpose.h"
namespace sherpa_onnx {
class OfflineTdnnCtcModel::Impl {
public:
explicit Impl(const OfflineModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
Init();
}
std::pair<Ort::Value, Ort::Value> Forward(Ort::Value features) {
auto nnet_out =
sess_->Run({}, input_names_ptr_.data(), &features, 1,
output_names_ptr_.data(), output_names_ptr_.size());
std::vector<int64_t> nnet_out_shape =
nnet_out[0].GetTensorTypeAndShapeInfo().GetShape();
std::vector<int64_t> out_length_vec(nnet_out_shape[0], nnet_out_shape[1]);
std::vector<int64_t> out_length_shape(1, nnet_out_shape[0]);
auto memory_info =
Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
Ort::Value nnet_out_length = Ort::Value::CreateTensor(
memory_info, out_length_vec.data(), out_length_vec.size(),
out_length_shape.data(), out_length_shape.size());
return {std::move(nnet_out[0]), Clone(Allocator(), &nnet_out_length)};
}
int32_t VocabSize() const { return vocab_size_; }
OrtAllocator *Allocator() const { return allocator_; }
private:
void Init() {
auto buf = ReadFile(config_.tdnn.model);
sess_ = std::make_unique<Ort::Session>(env_, buf.data(), buf.size(),
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();
if (config_.debug) {
std::ostringstream os;
PrintModelMetadata(os, meta_data);
SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
}
Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
SHERPA_ONNX_READ_META_DATA(vocab_size_, "vocab_size");
}
private:
OfflineModelConfig 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_;
int32_t vocab_size_ = 0;
};
OfflineTdnnCtcModel::OfflineTdnnCtcModel(const OfflineModelConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
OfflineTdnnCtcModel::~OfflineTdnnCtcModel() = default;
std::pair<Ort::Value, Ort::Value> OfflineTdnnCtcModel::Forward(
Ort::Value features, Ort::Value /*features_length*/) {
return impl_->Forward(std::move(features));
}
int32_t OfflineTdnnCtcModel::VocabSize() const { return impl_->VocabSize(); }
OrtAllocator *OfflineTdnnCtcModel::Allocator() const {
return impl_->Allocator();
}
} // namespace sherpa_onnx