Created by: biscuit-dot

Paddle-Lite 版本：v2.6.0 模型：mobilenet_v1 http://paddle-inference-dist.bj.bcebos.com/mobilenet_v1.tar.gz 硬件：海思3516CV500 两个CPU，设置1个线程和2个线程，速度一样

void RunModel(std::string model_name, int num_threads=1) {
  std::cout << model_name << "\n";
  int  n = 1;
  int  c = 3;
  int  h = 224;
  int  w = 224;

  // 1. Create MobileConfig
  MobileConfig config;
  config.set_model_from_file(model_name);
  // 2. Create PaddlePredictor by CxxConfig
  std::shared_ptr<PaddlePredictor> predictor =
      CreatePaddlePredictor<MobileConfig>(config);

  config.set_threads(num_threads);
  std::cout << "num_threads = " << config.threads() << "\n";

  // 3. Prepare input data
  std::unique_ptr<Tensor> input_tensor(std::move(predictor->GetInput(0)));
  input_tensor->Resize({n, c, h, w});
  auto* data = input_tensor->mutable_data<float>();
  for (int i = 0; i < ShapeProduction(input_tensor->shape()); ++i) {
    data[i] = 1;
  }

  // 4. Run predictor
  predictor->Run();
  }
}