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[DONT MERGE] Diffusion models benchmarking for compile time #155866
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/155866
Note: Links to docs will display an error until the docs builds have been completed. ❌ 11 New Failures, 1 Unrelated FailureAs of commit 3d3638d with merge base e98dd95 ( NEW FAILURES - The following jobs have failed:
UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
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Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as |
Just to keep track of some data: The most expensive bytecodes are: (266.1506090685725, 'InstructionTranslatorBase.CALL'),
(42.33330303430557, 'InstructionTranslatorBase.CALL_FUNCTION_EX'),
(10.658822156488895, 'InstructionTranslatorBase.LOAD_ATTR'),
(10.352601049467921, 'InstructionTranslatorBase.BINARY_OP'),
(2.2398654520511627, 'InstructionTranslator.RETURN_VALUE'),
(1.7172032352536917, 'InstructionTranslatorBase.LOAD_GLOBAL'),
(1.097657075151801, 'InstructionTranslatorBase.LOAD_SUPER_ATTR'),
(1.05613823980093, 'getitem'),
(0.41236742213368416, 'InstructionTranslatorBase.FOR_ITER'),
(0.4059685841202736, 'generic_jump.<locals>.inner'),
(0.3823458608239889, 'InstructionTranslatorBase.CONTAINS_OP'),
(0.38125245831906796, 'InstructionTranslatorBase.LOAD_FAST'),
(0.35756916739046574, 'InstructionTranslatorBase.IS_OP'),
(0.32974202930927277, 'InstructionTranslatorBase.STORE_ATTR'),
(0.28297133557498455, 'InstructionTranslatorBase.STORE_FAST'),
(0.17126698791980743, 'InstructionTranslatorBase.LOAD_CONST'),
(0.16699817031621933, 'InstructionTranslatorBase.COMPARE_OP'),
(0.1395837999880314, 'InstructionTranslatorBase.GET_ITER'),
(0.11582011915743351, 'InstructionTranslatorBase.LIST_EXTEND'),
(0.07459652423858643, 'InstructionTranslatorBase.LOAD_DEREF') And the 50 most expensive functions are (from cProfile):
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Stack from ghstack (oldest at bottom):
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @Lucaskabela