Is it possible to handle multitask learning?

[MultiPath]

Hi,

I am sorry for asking. I am wondering if the current code supports to optimize multiple loss functions?
For example, a shared encoder, one target is translation, the other target is reconstruction. Essentially, the model may read two sets of (input, output). Can we do similar things in seq2seq?

Thank you very much for your kind attention!
Best,