[Cutlass] Implement memory planning for EVT #153177
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/153177
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| return CutlassEVTOpsMixIn._infix_bin_op("+", x0, x1) | ||
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| @staticmethod | ||
| def relu(x0: str) -> str: |
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so this is the list of ops we support?
btw noob question what is the list of ops that triton supports?
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pytorch/torch/_inductor/codegen/triton.py
Line 823 in 6ae7730
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Also I will need to vet this, just because there may be gaps (e.g. I don't think sigmoid or tanh is supported in the python tracer)
I can raise issues/submit PRs with nvidia for all of the missing ops because I think they're all supported in C++, just not the python tracer.
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov [ghstack-poisoned]
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov [ghstack-poisoned]
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov