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remove-script-datasets-in-tests-test-datasets-main
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12 Commits

Author SHA1 Message Date
Quentin Lhoest
52f2dbe9ef fix
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2025-06-23 17:09:46 +02:00
Quentin Lhoest
f6c540db72 fix 2025-06-23 17:07:16 +02:00
Quentin Lhoest
9db4ddb1b9 fix tests 2025-06-23 16:53:40 +02:00
Quentin Lhoest
3dfebf2fc0 Revert "Skip some tests for now (#38931)" 
This reverts commit 31d30b7224.
 2025-06-20 13:00:47 +02:00
Quentin Lhoest
e6093deb18 again 2025-06-20 13:00:25 +02:00
Yih-Dar
31d30b7224
Skip some tests for now (#38931) 
* try

* [test all]

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2025-06-20 11:05:49 +02:00
cyyever
1e6b546ea6
Use Python 3.9 syntax in tests (#37343) 
Signed-off-by: cyy <cyyever@outlook.com>
 2025-04-08 14:12:08 +02:00
Fanli Lin
f0ae65c198
[tests] further fix Tester object has no attribute '_testMethodName' (#35781) 
* bug fix

* update with more cases

* more entries

* Fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2025-01-29 16:05:33 +01:00
Arthur
b912f5ee43
use torch.testing.assertclose instead to get more details about error in cis (#35659) 
* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
 2025-01-24 16:55:28 +01:00
Pavel Iakubovskii
fb66ef8147
Update kwargs validation for preprocess with decorator (#32024) 
* BLIP preprocess

* BIT preprocess

* BRIDGETOWER preprocess

* CHAMELEON preprocess

* CHINESE_CLIP preprocess

* CONVNEXT preprocess

* DEIT preprocess

* DONUT preprocess

* DPT preprocess

* FLAVA preprocess

* EFFICIENTNET preprocess

* FUYU preprocess

* GLPN preprocess

* IMAGEGPT preprocess

* INTRUCTBLIPVIDEO preprocess

* VIVIT preprocess

* ZOEDEPTH preprocess

* VITMATTE preprocess

* VIT preprocess

* VILT preprocess

* VIDEOMAE preprocess

* VIDEOLLAVA

* TVP processing

* TVP fixup

* SWIN2SR preprocess

* SIGLIP preprocess

* SAM preprocess

* RT-DETR preprocess

* PVT preprocess

* POOLFORMER preprocess

* PERCEIVER preprocess

* OWLVIT preprocess

* OWLV2 preprocess

* NOUGAT preprocess

* MOBILEVIT preprocess

* MOBILENETV2 preprocess

* MOBILENETV1 preprocess

* LEVIT preprocess

* LAYOUTLMV2 preprocess

* LAYOUTLMV3 preprocess

* Add test

* Update tests
 2024-08-06 11:33:05 +01:00
amyeroberts
f53fe35b29
Fast image processor (#28847) 
* Draft fast image processors

* Draft working fast version

* py3.8 compatible cache

* Enable loading fast image processors through auto

* Tidy up; rescale behaviour based on input type

* Enable tests for fast image processors

* Smarter rescaling

* Don't default to Fast

* Safer imports

* Add necessary Pillow requirement

* Woops

* Add AutoImageProcessor test

* Fix up

* Fix test for imagegpt

* Fix test

* Review comments

* Add warning for TF and JAX input types

* Rearrange

* Return transforms

* NumpyToTensor transformation

* Rebase - include changes from upstream in ImageProcessingMixin

* Safe typing

* Fix up

* convert mean/std to tesnor to rescale

* Don't store transforms in state

* Fix up

* Update src/transformers/image_processing_utils_fast.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Warn if fast image processor available

* Update src/transformers/models/vit/image_processing_vit_fast.py

* Transpose incoming numpy images to be in CHW format

* Update mapping names based on packages, auto set fast to None

* Fix up

* Fix

* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test

* Update src/transformers/models/vit/image_processing_vit_fast.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Add equivalence and speed tests

* Fix up

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
 2024-06-11 15:47:38 +01:00
NielsRogge
ace74d16bd
Add Nougat (#25942) 
* Add conversion script

* Add NougatImageProcessor

* Add crop margin

* More improvements

* Add docs, READMEs

* Remove print statements

* Include model_max_length

* Add NougatTokenizerFast

* Fix imports

* Improve postprocessing

* Improve image processor

* Fix image processor

* Improve normalize method

* More improvements

* More improvements

* Add processor, improve docs

* Simplify fast tokenizer

* Remove test file

* Fix docstrings

* Use NougatProcessor in conversion script

* Add is_levensthein_available

* Add tokenizer tests

* More improvements

* Use numpy instead of opencv

* Add is_cv2_available

* Fix cv2_available

* Add is_nltk_available

* Add image processor tests, improve crop_margin

* Add integration tests

* Improve integration test

* Use do_rescale instead of hacks, thanks Amy

* Remove random_padding

* Address comments

* Address more comments

* Add import

* Address more comments

* Address more comments

* Address comment

* Address comment

* Set max_model_input_sizes

* Add tests

* Add requires_backends

* Add Nougat to exotic tests

* Use to_pil_image

* Address comment regarding nltk

* Add NLTK

* Improve variable names, integration test

* Add test

* refactor, document, and test regexes

* remove named capture groups, add comments

* format

* add non-markdown fixed tokenization

* format

* correct flakyness of args parse

* add regex comments

* test functionalities for crop_image, align long axis and expected output

* add regex tests

* remove cv2 dependency

* test crop_margin equality between cv2 and python

* refactor table regexes to markdown

add newline

* change print to log, improve doc

* fix high count tables correction

* address PR comments: naming, linting, asserts

* Address comments

* Add copied from

* Update conversion script

* Update conversion script to convert both small and base versions

* Add inference example

* Add more info

* Fix style

* Add require annotators to test

* Define all keyword arguments explicitly

* Move cv2 annotator

* Add tokenizer init method

* Transfer checkpoints

* Add reference to Donut

* Address comments

* Skip test

* Remove cv2 method

* Add copied from statements

* Use cached_property

* Fix docstring

* Add file to not doctested

---------

Co-authored-by: Pablo Montalvo <pablo.montalvo.leroux@gmail.com>
 2023-09-26 07:06:04 +02:00