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Enabling Dtype Selective Build for Zephyr CI Add Model Test #13191
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BujSet
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Enabling Dtype Selective Build for Zephyr CI Add Model Test #13191
BujSet
merged 12 commits into
pytorch:main
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BujSet:dtype_selective_build_for_zephyr_ci_add_test
Aug 8, 2025
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13191
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 1 Cancelled Job, 6 Pending, 3 Unrelated FailuresAs of commit 8ab3b03 with merge base 5635941 ( NEW FAILURES - The following jobs have failed:
CANCELLED JOB - The following job was cancelled. Please retry:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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larryliu0820
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…13191) ### Summary In the baseline version of this test, only operator selective build is used. A CMake command line option was created to pass in an exported model's PTE file via command line so that the model API for data type selective build can be used. Adding verbose error checking to make logs more informative. ### Test plan Ran with and without the flag set, and saw that enabling data type selective build reduces memory footprint. Specifically for the example add model, operator library shrinks from ~127KB to ~83KB.
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module: microcontrollers
For embedded MCUs like Cortex-M, or RTOS like Zephyr, does not track NPU backend like Arm Ethos.
release notes: none
Do not include this in the release notes
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Summary
In the baseline version of this test, only operator selective build is used. A CMake command line option was created to pass in an exported model's PTE file via command line so that the model API for data type selective build can be used. Adding verbose error checking to make logs more informative.
Test plan
Ran with and without the flag set, and saw that enabling data type selective build reduces memory footprint. Specifically for the example add model, operator library shrinks from ~127KB to ~83KB.