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[meta] Add meta implementation for aten.masked_scatter #108802
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/108802
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 681d078 with merge base e471c12 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced Sep 7, 2023
[ghstack-poisoned]
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy ngimel yf225 chenyang78 kadeng muchulee8 aakhundov [ghstack-poisoned]
lezcano
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Sep 11, 2023
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy ngimel yf225 chenyang78 kadeng muchulee8 aakhundov [ghstack-poisoned]
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy ngimel yf225 chenyang78 kadeng muchulee8 aakhundov [ghstack-poisoned]
pytorchmergebot
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that referenced
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Sep 12, 2023
This decomposes masked_scatter into `aten.cumsum` and a single pointwise kernel, which is similar to what is done in eager. I only do this for CUDA because on CPU it isn't split into two passes like this so would cause a slowdown. Pull Request resolved: #108803 Approved by: https://github.com/lezcano ghstack dependencies: #108802
pytorchmergebot
pushed a commit
that referenced
this pull request
Sep 14, 2023
This decomposes masked_scatter into `aten.cumsum` and a single pointwise kernel, which is similar to what is done in eager. I only do this for CUDA because on CPU it isn't split into two passes like this so would cause a slowdown. Pull Request resolved: #108803 Approved by: https://github.com/lezcano ghstack dependencies: #108802
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Stack from ghstack (oldest at bottom):
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @ipiszy @ngimel @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov