Also check for attention mask shape for _sfdp_params_check#141003
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bobrenjc93 wants to merge 4 commits intogh/bobrenjc93/134/basefrom
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Also check for attention mask shape for _sfdp_params_check#141003bobrenjc93 wants to merge 4 commits intogh/bobrenjc93/134/basefrom
bobrenjc93 wants to merge 4 commits intogh/bobrenjc93/134/basefrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/141003
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This was referenced Nov 19, 2024
Fixes `python test/inductor/test_fused_attention.py SDPAPatternRewriterCpuTests.test_pattern_fails_with_unsupported_mask_cpu` when `specialize_float=False`. You might wonder how it's related, it's because there is a "negative" test that expects us not to match. Previously it would fail on isinstance(param, Tensor), but now that we tensorify the float, it did match and caused a failure. This check ensures the mask has the same shape to ensure this negative test case actually fails. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang aakhundov [ghstack-poisoned]
Fixes `python test/inductor/test_fused_attention.py SDPAPatternRewriterCpuTests.test_pattern_fails_with_unsupported_mask_cpu` when `specialize_float=False`. You might wonder how it's related, it's because there is a "negative" test that expects us not to match. Previously it would fail on isinstance(param, Tensor), but now that we tensorify the float, it did match and caused a failure. This check ensures the mask has the same shape to ensure this negative test case actually fails. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang aakhundov [ghstack-poisoned]
ezyang
reviewed
Nov 20, 2024
| # When we tensorify floats we end up turning floats | ||
| # into 0d scalar tensors. It doesn't make any sense | ||
| # to have a 0d scalar tensor attention mask so | ||
| # coveniently we can insert this check to get |
ezyang
approved these changes
Nov 20, 2024
Fixes `python test/inductor/test_fused_attention.py SDPAPatternRewriterCpuTests.test_pattern_fails_with_unsupported_mask_cpu` when `specialize_float=False`. You might wonder how it's related, it's because there is a "negative" test that expects us not to match. Previously it would fail on isinstance(param, Tensor), but now that we tensorify the float, it did match and caused a failure. This check ensures the mask has the same shape to ensure this negative test case actually fails. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang aakhundov [ghstack-poisoned]
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pytorchmergebot
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Nov 20, 2024
…nputs (#140346) Fixes a bunch of benchmarks that failed with cudagraph errors including `tlp python benchmarks/dynamo/timm_models.py --device cuda --inductor --accuracy --amp --training --only resmlp_12_224` when `specialize_float=False` Also brings down number of overall failures (with keep-going) from 108 => 62. I'd estimate >80% of those 62 are wobbly expect tests. Pull Request resolved: #140346 Approved by: https://github.com/ezyang ghstack dependencies: #140983, #141003
pobin6
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Dec 5, 2024
…41003) Fixes `python test/inductor/test_fused_attention.py SDPAPatternRewriterCpuTests.test_pattern_fails_with_unsupported_mask_cpu` when `specialize_float=False`. You might wonder how it's related, it's because there is a "negative" test that expects us not to match. Previously it would fail on isinstance(param, Tensor), but now that we tensorify the float, it did match and caused a failure. This check ensures the mask has the same shape to ensure this negative test case actually fails. Pull Request resolved: pytorch#141003 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#140983
pobin6
pushed a commit
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Dec 5, 2024
…nputs (pytorch#140346) Fixes a bunch of benchmarks that failed with cudagraph errors including `tlp python benchmarks/dynamo/timm_models.py --device cuda --inductor --accuracy --amp --training --only resmlp_12_224` when `specialize_float=False` Also brings down number of overall failures (with keep-going) from 108 => 62. I'd estimate >80% of those 62 are wobbly expect tests. Pull Request resolved: pytorch#140346 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#140983, pytorch#141003
Esquains
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Dec 15, 2024
ghstack-source-id: e2b4243 Pull Request resolved: pytorch/pytorch#141003
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Stack from ghstack (oldest at bottom):
Fixes
python test/inductor/test_fused_attention.py SDPAPatternRewriterCpuTests.test_pattern_fails_with_unsupported_mask_cpuwhenspecialize_float=False. You might wonder how it's related, it's because there is a "negative" test that expects us not to match. Previously it would fail on isinstance(param, Tensor), but now that we tensorify the float, it did match and caused a failure. This check ensures the mask has the same shape to ensure this negative test case actually fails.cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov