Can Evaluation Produce Multiple Losses?

I have a model with multiple outputs. It’s trained with one loss function that minimizes loss for all of them together.

After the model is trained, I’m curious about the individual losses of each output. Is there anyway to easily evaluate the model so that I get multiple losses, one for each output?