SKIP llama for dynamic size testing #135960
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/135960
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit a2ec779 with merge base c9de2ef ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx chenyang78 kadeng chauhang amjames rec [ghstack-poisoned]
leslie-fang-intel
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ezyang
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Sep 14, 2024
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Summary:
Running Torchbench llama with dynamic size failed with
```
File "/localdisk/leslie/torch_inductor_community/pytorch/torch/fx/experimental/symbolic_shapes.py", line 4182, in produce_guards
raise ConstraintViolationError(
torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['inputs'][0].size()[0])! For more information, run with TORCH_LOGS="+dynamic".
- Not all values of RelaxedUnspecConstraint(L['inputs'][0].size()[0]) are valid because L['inputs'][0].size()[0] was inferred to be a constant (32).
```
Skip this model for marking dynamic dim.
X-link: pytorch/pytorch#135960
Approved by: https://github.com/ezyang
Reviewed By: jeanschmidt
Differential Revision: D62737135
fbshipit-source-id: 71ef5686e924cfebe0284c986e1cb412b3b499d0
Chao1Han
pushed a commit
to Chao1Han/pytorch
that referenced
this pull request
Sep 20, 2024
Running Torchbench llama with dynamic size failed with
```
File "/localdisk/leslie/torch_inductor_community/pytorch/torch/fx/experimental/symbolic_shapes.py", line 4182, in produce_guards
raise ConstraintViolationError(
torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['inputs'][0].size()[0])! For more information, run with TORCH_LOGS="+dynamic".
- Not all values of RelaxedUnspecConstraint(L['inputs'][0].size()[0]) are valid because L['inputs'][0].size()[0] was inferred to be a constant (32).
```
Skip this model for marking dynamic dim.
Pull Request resolved: pytorch#135960
Approved by: https://github.com/ezyang
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Stack from ghstack (oldest at bottom):
Running Torchbench llama with dynamic size failed with
Skip this model for marking dynamic dim.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @rec