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pyre-fix #14241
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pyre-fix #14241
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14241
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 3 Unrelated FailuresAs of commit ec07cba with merge base e6b9111 ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Summary: Forward fix for pyre errors in D82242003 Differential Revision: D82265586
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Summary: Forward fix for pyre errors in D82242003 Differential Revision: D82265586
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Summary: Pull Request resolved: pytorch#14241 Forward fix for pyre errors in D82242003 Differential Revision: D82265586
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Summary: Forward fix for pyre errors in D82242003 Reviewed By: digantdesai Differential Revision: D82265586
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Summary: This fixes internal failures on D82242003: * pyre errors * buck build --flagfile fbcode//mode/dev fbcode//executorch/examples/models/fb/llama4:ngtts_semantic_lm_xnnpack_quantized.pte The second failure is because the old and new APIs have different behaviors when group_size is incompatible with the nn.Linear module's shape. In the old API, it silently does not quantize the layer, whereas the new API is more explicit and throws an error. This diff uses a filter_fn to restore the previous behavior. Reviewed By: digantdesai Differential Revision: D82265586
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Differential Revision: D82265586 Pull Request resolved: pytorch#14241
Summary: Fix pyre errors
Differential Revision: D82265586