[inductor] lower min SM requirement for gemm autotuning to 68 #123121
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/123121
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 901b3c6 with merge base 76a87e3 ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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jansel
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Apr 22, 2024
…h#123121) Lower the minimum number of CUDA SMs required for GEMM autotuning from V100 to 3080 level, allowing some high-end consumer GPUs to benefit as well. Fixes pytorch#109489 Pull Request resolved: pytorch#123121 Approved by: https://github.com/jansel
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Lower the minimum number of CUDA SMs required for GEMM autotuning from V100 to 3080 level, allowing some high-end consumer GPUs to benefit as well.
Fixes #109489
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov @ColinPeppler @amjames @desertfire @chauhang @jansel @jon-chuang