Should the custom loss function in Keras return a single loss value for the batch or an arrary of losses for every sample in the training batch?

Question

I\'m learning keras API in tensorflow(2.3). In this guide on tensorflow website, I found an example of custom loss funciton:

    def custom_mean_squared_error         


        

Answer 1

The dimensionality can be increased because of multiple channels...however, each channel should only have a scalar value for loss.