For TF ops like :
 tf.math.reduce_max , tf.math.reduce_min , tf.math.maximum or tf.math.minimum
all these TF functions don’t return the maximum/minimum value in each feature map, however their functionality is based on specific axis which is somehow different to what i need.
It would be very kind of you if you can recommend other functions in TF (if any) that could extract max/min values from each feature map. without the need to do TF–> Numpy conversion
For TF.numpy ops:
As i am new to tensorflow and keras, In fact, i just knew about such type of TF.
and after going through TF.numpy ops documentation , it seems there is marginal differences with regular TF.  i don’t know whether i can use TF.numpy ops to build models instead of regular TF.
Thanks for being patient with me