Performance issue in DataHandeling.py

[DLPerf]

Hello! Our static bug checker has found a performance issue in DataHandeling.py: normed_size is repeatedly called in a for loop, but there is a tf.function decorated function q_stat defined and called in normed_size.

In that case, when normed_size is called in a loop, the function q_stat will create a new graph every time, and that can trigger tf.function retracing warning.

Here is the tensorflow document to support it.

Briefly, for better efficiency, it's better to use:

@tf.function
def inner():
    pass

def outer():
    inner()  

than:

def outer():
    @tf.function
    def inner():
        pass
    inner()

Looking forward to your reply.

[DLPerf]

The same with normed_size here and here. We are investigating this kind of issues, and your answer will be of great help to our work. Thank you in advance! @arbellea