Type cast before normalize yolos #11
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…th different configs
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amyeroberts
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Mar 15, 2024
* Cohere Model Release (#1) Cohere Model Release * Remove unnecessary files and code (#2) Some cleanup * Delete cohere-model directory (#3) * Make Fix (#5) * Pr fixes (#6) * fixes for pr * pr fixes for the format * pr fixes for the format * src/transformers/models/auto/tokenization_auto.py * Tokenizer test (#8) * tokenizer test * format fix * Adding Docs and other minor changes (#7) * Add modeling tests (#9) * Smol Fix (#11) * tokenization tests are fixed * format fixes * fix pr doc tests * fix pr doc tests * fix pr doc tests * fix pr style check * small changes in cohere.md * FIX: Address final comments for transformers integration (#13) * fix modeling final nits and add proper test file * for now leave empty tests * add integration test * push new test * fix modeling cohere (#14) * Update chat templates to use the new API (#15) --------- Co-authored-by: ahmetustun <ahmetustun89@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
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What does this PR do?
Modifies the feature extractor call to make the inputs to
BatchFeaturealways numpy arrays. This ensures the type of the returnedpixel_valuesmatches those requested withreturn_tensors. The conversion to numpy arrays happens before normalization to ensure consistent rescaling is done on the inputs.This solution means the
return_tensors=Nonedefault can stay and that the behaviour is as expected for any combination of thedo_xxxflag values.Before submitting
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