Comment by awaythrowact

If the next machine learning killer-app model requires autodiff'ed dynamic control flow, do you think Google/Facebook will build that capability into XLA/TorchScript? Seems like if NLP SOTA requires dynamic control flow, Google will build it? Maybe they let you declare some subgraph as "dynamic" to avoid static optimizations? But maybe the static graph assumption is so deeply embedded into the XLA architecture, they'd be better off just adopting Julia? (I honestly don't know the answer, asking your opinion!)