I talked with Zach DeVito from PyTorch team for a while about RefCounting, there are quite a few benefits to using reference counting. We should probably just use weak refs, solutions from Counting Immutable Beans (a recent paper by my MSR collaborator where they do much better than GC languages in perf) or cycle detectors if we are worried about cycles. I think generally RC provides the best tradeoffs for ML right now.
-- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/3423#issuecomment-507440038
