A temporary fix to autotune out of range and related IMA #165943
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/165943
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 640e5e8 with merge base e20c9bf ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Summary: Autotune issue during lowering w/ AOTI: ``` setStorage: sizes [1536, 32, 8192], strides [8192, 8192, 1], storage offset 0, and itemsize 2 requiring a storage size of 25673728 are out of bounds for storage of size 25362432 ``` This is a temporary workaround to unblock MRS model iteration. Test Plan: Finally be able to see the e2e test passes on CI. See the detailed Test Plan in D83520844 Differential Revision: D84872792
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laithsakka
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) Summary: Autotune issue during lowering w/ AOTI: ``` setStorage: sizes [1536, 32, 8192], strides [8192, 8192, 1], storage offset 0, and itemsize 2 requiring a storage size of 25673728 are out of bounds for storage of size 25362432 ``` Need a hack to create new base tensor with sufficient storage Test Plan: Finally be able to see the e2e test passes on CI. See the detailed Test Plan in D83520844 Differential Revision: D84872792 Pull Request resolved: pytorch#165943 Approved by: https://github.com/laithsakka
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Summary:
Autotune issue during lowering w/ AOTI:
Need a hack to create new base tensor with sufficient storage
Test Plan: Finally be able to see the e2e test passes on CI. See the detailed Test Plan in D83520844
Differential Revision: D84872792
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben