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[Break XPU][Inductor UT] Avoid custom op registration conflicts in test_auto_functionalize.py. #148155
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test_auto_functionalize.py. Fix #148148 [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/148155
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 95c78a9 with merge base 6ccbff1 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
jansel
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Feb 28, 2025
EikanWang
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Mar 1, 2025
Starting merge as part of PR stack under #148178 |
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…partition for XPU (#148178) This PR generalized the device-bias code introduced by #147038 . And align the behavior between XPU and CUDA on add + mm + pointwise pattern (for XPU, from addmm + pointwise to mm + fused_add_pointwise) , which fix the failed test case `test_graph_partiton` on XPU. Pull Request resolved: #148178 Approved by: https://github.com/benjaminglass1, https://github.com/jansel, https://github.com/EikanWang ghstack dependencies: #148155
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…st_auto_functionalize.py. (pytorch#148155) Fix pytorch#148148 Pull Request resolved: pytorch#148155 Approved by: https://github.com/jansel, https://github.com/EikanWang
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…partition for XPU (pytorch#148178) This PR generalized the device-bias code introduced by pytorch#147038 . And align the behavior between XPU and CUDA on add + mm + pointwise pattern (for XPU, from addmm + pointwise to mm + fused_add_pointwise) , which fix the failed test case `test_graph_partiton` on XPU. Pull Request resolved: pytorch#148178 Approved by: https://github.com/benjaminglass1, https://github.com/jansel, https://github.com/EikanWang ghstack dependencies: pytorch#148155
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Stack from ghstack (oldest at bottom):
Fix #148148
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov