TensorFlow Execution on a single (multi-core) CPU Device
问题 I have some questions regarding the execution model of TensorFlow in the specific case in which there is only a CPU device and the network is used only for inference, for instance using the Image Recognition(https://www.tensorflow.org/tutorials/image_recognition) C++ Example with a multi-core platform. In the following, I will try to summarize what I understood, while asking some questions. Session->Run() (file direct_session.cc) calls ExecutorState::RynAsynch, which initializes the