NXP backend: handle tests of mlperf tiny keyword spotting - #22519
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/22519
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| # non-scaled random weights tend to produce zero tensors, | ||
| # making it hard to compute numerical accuracy of the delegated model. | ||
| # Scaling the random weights makes the model produce reasonable results. | ||
| WEIGHT_INIT_SCALE = 2.0 |
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Suggestion:
Perhaps a custom "weight_init" function would be a cleaner way to achieve this.
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Summary
Enable and refactor MLPerf Tiny Keyword Spotting tests.
Test plan
tests can be manually run using
pytest -c /dev/null backends/nxp/tests/cc @robert-kalmar @JakeStevens @digantdesai @rascani @roman-janik-nxp