Types and Neural Networks

So the model generates code, and let's say it is wrongly typed, we then take the rightly typed version and use cross entropy between them? Is that right? That just sounds like the typical training, unless you can somehow take arbitrary code that the model generated and automatically find the rightly typed version, so you won't need a dataset for it