[C++]Is there a gc.collect function?

[bitnick10]

I have a CNN server in my PC,when a lot of request coming in(memory usage increase) and after a while there is no request(momery not free)..And I use VS2019 performance profiler to analysis momery leak.Ort::Session:Run and onnxruntime.dll run out memory.

    template<int YN, int XN>
    void RefreshPredict(std::vector<std::array<float, YN>>& predict, const std::vector<std::array<float, XN>>& ins, int beginI, int endI) const {
        std::vector<std::array<float, XN>>& nonConstIns = const_cast<std::vector<std::array<float, XN>>&>(ins);
        assert(predict.size() == ins.size());
        auto what_dims = input_node_dims;
        what_dims[0] = endI - beginI;
        if (what_dims[0] <= 0)
            return;
        assert(what_dims[0] >= 0);

        auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
        Ort::Value input_tensor = Ort::Value::CreateTensor<float>(memory_info, nonConstIns[beginI].data(), XN * what_dims[0], what_dims.data(), what_dims.size());
        assert(input_tensor.IsTensor());

        std::vector<const char*> output_node_names;
        output_node_names.resize(1);
        output_node_names[0] = output_name.c_str();

        auto output_tensors = session_->Run(Ort::RunOptions{ nullptr }, input_node_names.data(), &input_tensor, 1, output_node_names.data(), 1);

        float* floatarr = output_tensors.front().GetTensorMutableData<float>();
        float* pret = predict[beginI].data();
        for (int i = 0; i < YN * what_dims[0]; i++) {
            pret[i] = floatarr[i];
        }
    }

Is there a gc.collect function or I use this lib in a wrong way?