Meteorix commented on pull request #25: URL: https://github.com/apache/tvm-rfcs/pull/25#issuecomment-908041324
> 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). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@tvm.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
