Keras error when predicting on multithreading

Question

I\'m trying to create four threads (each one with its own graph and model) that will run concurently and issue predictions in the same way.

My thread code is somethi

Answer 1

I have figured what I was doing wrong. My thinking was right but I shouldn't have recreated the Graph and Session below. The bottom part of the code should simply be:

    thread_locker.acquire()
    with thread_graph.as_default():
        with thread_session.as_default():
            pred_data= model.predict(X_pred)
    thread_locker.release()