fix onnxruntime memoryleak when load model (#2108)

locasxe

2024-09-25 c494d8fd18c29f601829f428a327b09ac7c29aed

fix onnxruntime memoryleak when load model (#2108)

* onnxruntime memoryleak fix

* fix onnxruntime memoryleak

* fix onnxruntime memoryleak

 runtime/onnxruntime/src/fsmn-vad.cpp

@@ -60,18 +60,19 @@
        LOG(ERROR) << "Error when load vad onnx model: " << e.what();
        exit(-1);
    }
    GetInputOutputInfo(vad_session_, &vad_in_names_, &vad_out_names_);
    GetInputOutputInfo(vad_session_, &vad_in_names_, &vad_out_names_, &vad_allocator);
}

void FsmnVad::GetInputOutputInfo(
        const std::shared_ptr<Ort::Session> &session,
        std::vector<const char *> *in_names, std::vector<const char *> *out_names) {
        std::vector<const char *> *in_names, std::vector<const char *> *out_names,
        Ort::AllocatorWithDefaultOptions *allocator) {
    Ort::AllocatorWithDefaultOptions allocator;
    // Input info
    int num_nodes = session->GetInputCount();
    in_names->resize(num_nodes);
    for (int i = 0; i < num_nodes; ++i) {
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetInputNameAllocated(i, allocator);
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetInputNameAllocated(i, *allocator);
        Ort::TypeInfo type_info = session->GetInputTypeInfo(i);
        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
        ONNXTensorElementDataType type = tensor_info.GetElementType();
@@ -90,7 +91,7 @@
    num_nodes = session->GetOutputCount();
    out_names->resize(num_nodes);
    for (int i = 0; i < num_nodes; ++i) {
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetOutputNameAllocated(i, allocator);
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetOutputNameAllocated(i, *allocator);
        Ort::TypeInfo type_info = session->GetOutputTypeInfo(i);
        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
        ONNXTensorElementDataType type = tensor_info.GetElementType();
@@ -310,6 +311,8 @@
}

FsmnVad::~FsmnVad() {
    for (auto vad_in_name_item : vad_in_names_) vad_allocator.Free((void*)vad_in_name_item);
    for (auto vad_out_name_item : vad_out_names_) vad_allocator.Free((void*)vad_out_name_item);
}

FsmnVad::FsmnVad():env_(ORT_LOGGING_LEVEL_ERROR, ""),session_options_{} {

 runtime/onnxruntime/src/fsmn-vad.h

@@ -34,6 +34,7 @@
    std::shared_ptr<Ort::Session> vad_session_ = nullptr;
    Ort::Env env_;
    Ort::SessionOptions session_options_;
    Ort::AllocatorWithDefaultOptions vad_allocator;
    std::vector<const char *> vad_in_names_;
    std::vector<const char *> vad_out_names_;
    std::vector<std::vector<float>> in_cache_;
@@ -56,7 +57,8 @@

    static void GetInputOutputInfo(
            const std::shared_ptr<Ort::Session> &session,
            std::vector<const char *> *in_names, std::vector<const char *> *out_names);
            std::vector<const char *> *in_names, std::vector<const char *> *out_names,
            Ort::AllocatorWithDefaultOptions *allocator);

    void FbankKaldi(float sample_rate, std::vector<std::vector<float>> &vad_feats,
                    std::vector<float> &waves);