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NXP backend: Remove optimization in prune_reshape_operators.py #13413

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Summary

Remove unnecessary optimization in prune_reshape_operators.py in IR optimizer.

Test plan

All tests where a subgraph is delegated to Neutron.

cc @digantdesai @JakeStevens @robert-kalmar @Pop-korn

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pytorch-bot bot commented Aug 14, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13413

Note: Links to docs will display an error until the docs builds have been completed.

❌ 3 New Failures, 2 Unrelated Failures

As of commit 1af9485 with merge base ea4a7fa (image):

NEW FAILURES - The following jobs have 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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@meta-cla meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 14, 2025
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@pytorchbot label "module: nxp" "release notes: nxp"

@pytorch-bot pytorch-bot bot added module: nxp Issues related to NXP Neutron NPU delegation and code under backends/nxp/ release notes: nxp Changes to the NXP Neutron backend delegate labels Aug 14, 2025
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