> I wonder whether this would make the torch fallback op > ([apache/tvm#7401](https://github.com/apache/tvm/pull/7401)) more or less > useful (it would depend on what you (plan to) do with unsupported ops). I am > still pondering whether to close it or dust it off.
@t-vi It will help a lot. If we have the torch fallback op support, users will less likely to get stuck in frontend conversion phase. We are looking forward to this feature. Could you complete the PR? > I should note that as far as I know NVidia has a TensorRT front end serving a > similar goal and there also is one for ONNXRuntime-as-a-module (recently > featured in the PyTorch blog). There may be useful design insights in how > they work (or maybe they're too different to what you have in mind). And thanks for this information. Actually, we are inspired by another NVIDIA work: [TRTorch](https://github.com/NVIDIA/TRTorch). -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/25#issuecomment-908041324
