Less flaky for TimmBackboneModelTest::test_batching_equivalence
#35971
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ydshieh
changed the title
TimmBackboneModelTest::test_batching_equivalence
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
zucchini-nlp
approved these changes
Jan 30, 2025
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0% In the sense of running 2000 times. (but when it comes to 1 millions times, I won't promise it's 0% 😆 ) |
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What does this PR do?
As in the (previous) comment, Timm model in
transformershas no_init_weightsmethod, and it relies the (some how different) timm's way of weight init.This seems giving somehow larger values and differences. Decorated
is_flakyand use1e-5still fails with 1% ratio.Let's just use a
1e-4