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我正在尝试使用 tensorflow c++ api（仅限 CPU）运行 SqueezeDet。我已经冻结了张量流图并从 C++ 加载它。虽然在检测质量方面一切都很好，但性能比 python 慢得多。那可能是什么原因？

简化后，我的代码如下所示：

  int main (int argc, const char * argv[])
  {
    // Initializing graph 
    tensorflow::GraphDef graph_def;
    // Folder in which graph data is located
    string graph_file_name = "Model/graph.pb";
    // Loading graph 
    tensorflow::Status graph_loaded_status =  ReadBinaryProto(tensorflow::Env::Default(), graph_file_name, &graph_def);
    if (!graph_loaded_status.ok())
    {
      cout << graph_loaded_status.ToString() << endl;
      return 1;
    }
    unique_ptr<tensorflow::Session> session_sqdet(tensorflow::NewSession(tensorflow::SessionOptions()));
    tensorflow::Status session_create_status = session_sqdet->Create(graph_def);
    if (!session_create_status.ok())
    {
      cout << "Session create status: fail." << endl;
      return 1;
    }
    while ()
    { …