Run the lite interpreter model using the PyTorch C++ API

RunPyTorchLiteInterpreterModel.cpp

#include <iostream>
#include <vector>
#include <torch/csrc/jit/mobile/import.h>
#include <torch/csrc/jit/mobile/module.h>

int main() {
  auto model = torch::jit::_load_for_mobile("AddTensorsModelOptimized.ptl"));

  std::vector<at::IValue> inputs, ret;
  inputs.push_back(at::zeros({3}));
  inputs.push_back(at::ones({3}));

  ret.emplace_back(model.forward(inputs));
  
  for (auto& iv: ret) {
    std::cout << iv << std::endl;
  }
}