keras custom generator for Multi-input CNN giving ValueError: Shapes (None, 146, 73, 2) and (None, None) are incompatible

Question

I\'m trying to create CNN model with multiple input as given below.

p_input = Input(shape=(600,600,1))
p_branch = Conv2D(32, (3, 3), activation=\'relu\')(p_in