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NXP backend: Unify ExecuTorch and Neutron data format enums. #17066
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Merged
MartinPavella
merged 1 commit into
pytorch:main
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nxp-upstream:nxg01483/feature/EIEX-408-replace-tensorformat-with-nodeformat
Feb 6, 2026
Merged
NXP backend: Unify ExecuTorch and Neutron data format enums. #17066
MartinPavella
merged 1 commit into
pytorch:main
from
nxp-upstream:nxg01483/feature/EIEX-408-replace-tensorformat-with-nodeformat
Feb 6, 2026
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17066
Note: Links to docs will display an error until the docs builds have been completed. ❌ 9 New FailuresAs of commit d40397e with merge base 0b644f0 ( NEW FAILURES - The following jobs have failed:
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This PR depends on #17002, so only the last commit is relevant. |
robert-kalmar
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Feb 3, 2026
jirioc
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The failing checks seem unrelated, and the internal build passed. Merging. |
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module: nxp
Issues related to NXP Neutron NPU delegation and code under backends/nxp/
release notes: nxp
Changes to the NXP Neutron backend delegate
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Summary
Originally, the NXP backend used the
NodeFormatenum to mark data formats (memory layouts) of ExecuTorch nodes, and theTensorFormatenum was used to mark the formats for Neutron IR tensors. However, these two classes fundamentally represent the same thing, and there is no need to keep them separated. Additionally, sometimes it was confusing as for which class to use which could result (and has resulted) in bugs.This PR unifies these 2 enums into 1.
Test plan
N/A
cc @robert-kalmar @JakeStevens @digantdesai