如何在tensorflow中使用自定义python函数预取数据

I am trying to prefetch training data to hide I/O latency. I would like to write custom Python code that loads data from disk and preprocesses the data (e.g. by adding a context window). In other words, one thread does data preprocessing and the other does training. Is this possible in TensorFlow?I am trying to prefetch training data to hide I