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[Inductor] add expm1 lowering #89961
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/89961
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit dceacd1: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr. cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr. cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
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Awesome, thanks!
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr. cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr. cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
| return f"1 / std::sqrt({x})" | ||
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| @staticmethod | ||
| def log1p(x): |
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@jgong5, can these be vectorized?
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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 |
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr. Pull Request resolved: pytorch#89961 Approved by: https://github.com/ngimel
Stack from ghstack (oldest at bottom):
Improves perf of inductor no-cudagraphs on nvidia-deeprecommender from 0.88 -> .96. I am looking into disabling implicit fallbacks for benchmark models in another pr.
cc @mlazos @soumith @voznesenskym @yanboliang @penguinwu @anijain2305 @EikanWang @jgong5 @Guobing-Chen @chunyuan-w @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @desertfire