# What is the purpose of the DAMSM loss for the generators in AttnGAN?

I am confused about the training part in AttnGan.

If you observe page 3. There are two types of losses for generator network: one involving the Deep Attentional Multimodal Similarity Model (DAMSM) loss $$(L_{DAMSM})$$ and the others for individual generator $$(L_{G_i})$$ for $$i= 1, 2, 3$$.

My doubt is: if each generator has its own loss function that is useful in training, what is the purpose in using $$L_G$$, i.e., with DAMSM loss function? Is my assumption wrong?