I am trying to use the keras MixUp layer for mixing together images, but I’m not understanding the output. Here’s what I have:

I am trying to use the DropBlock2D layer from KerasCV, version 0.9.0. However, I am only able to compile the layer into a model if I specify run_eagerly=True. This appears to be related to the fact that when forward pass from the non-eager run is attempted, a symbolic tensor is passed to the layer, which expects a concrete value instead. The Keras docs say that run_eagerly should reserved for debugging, so why is it necessary that I enable it here?

I have the following lines of code that reads a csv file and prepares a data set to be fed into a tensorflow model using the Image Data Generator Class. How can I integrate KeraCV’s CutMix and MixUp here?