GitLab

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* Update defaults and logic to match old FE

* Use docker run rest values

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: Jaesun Park <jaesun.park1@navercorp.com>

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* [Perceiver] Skip multi-gpu tests for now

* Update tests/test_modeling_perceiver.py

* up

* up

* First draft

* Improve docstring + clean up tests

* Remove unused code

* Add check in case one doesn't provide a preprocessor

* Fixing tests for perceiver (texts)

* For MaskedLM

* First draft

* Style and remove mlm

* Make forward pass work

* More improvements

* More improvements

* Fix bug

* More improvements

* More improvements

* Add PerceiverTokenizer first draft

* Improve conversion script

* More improvements

* Make conversion script work for the encoder

* Make conversion script work with local pickle files

* Style & quality, fix-copies

* Add dummy input to conversion script

* Add absolute position embeddings to TextPreProcessor

* Make forward pass of encoder work

* More improvements

* Move text preprocessor to separate script

* More improvements

* More improvements

* Add post processor

* Make MLM model work

* Style

* Add PerceiverForMaskedLM

* Add PerceiverImagePreprocessor

* Make style

* Make PerceiverForImageClassification work

* More improvements

* More improvements

* Use tokenizer in conversion script

* Use PerceiverForMaskedLM in conversion script

* Define custom PerceiverModelOutput

* Improve PerceiverAttention to make it work for both MLM and image classification

* More improvements

* More improvements

* More improvements to the conversion script

* Make conversion script work for both MLM and image classification

* Add PerceiverFeatureExtractor

* More improvements

* Style and quality

* Add center cropping

* Fix bug

* Small fix

* Add print statement

* Fix bug in image preprocessor

* Fix bug with conversion script

* Make output position embeddings an nn.Parameter layer instead of nn.Embedding

* Comment out print statements

* Add position encoding classes

* More improvements

* Use position_encoding_kwargs

* Add PerceiverForImageClassificationFourier

* Make style & quality

* Add PerceiverForImageClassificationConvProcessing

* Style & quality

* Add flow model

* Move processors to modeling file

* Make position encodings modular

* Make basic decoder use modular position encodings

* Add PerceiverForOpticalFlow to conversion script

* Add AudioPreprocessor

* Make it possible for the basic decoder to use Fourier position embeddings

* Add PerceiverForMultimodalAutoencoding

* Improve model for optical flow

* Improve _build_network_inputs method

* Add print statement

* Fix device issue

* Fix device of Fourier embeddings

* Add print statements for debugging

* Add another print statement

* Add another print statement

* Add another print statement

* Add another print statement

* Improve PerceiverAudioPreprocessor

* Improve conversion script for multimodal modal

* More improvements

* More improvements

* Improve multimodal model

* Make forward pass multimodal model work

* More improvements

* Improve tests

* Fix some more tests

* Add output dataclasses

* Make more tests pass

* Add print statements for debuggin

* Add tests for image classification

* Add PerceiverClassifierOutput

* More improvements

* Make more tests pass for the optical flow model

* Make style & quality

* Small improvements

* Don't support training for optical flow model for now

* Fix _prepare_for_class for tests

* Make more tests pass, add some docs

* Add multimodal model to tests

* Minor fixes

* Fix tests

* Improve conversion script

* Make fixup

* Remove pos_dim argument

* Fix device issue

* Potential fix for OOM

* Revert previous commit

* Fix test_initialization

* Add print statements for debugging

* Fix print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Add print statement

* Remove need for output_shape

* Comment out output_shape

* Remove unnecessary code

* Improve docs

* Fix make fixup

* Remove PerceiverTextProcessor from init

* Improve docs

* Small improvement

* Apply first batch of suggestions from code review

* Apply more suggestions from code review

* Update docstrings

* Define dicts beforehand for readability

* Rename task to architecture in conversion script, include PerceiverModel in tests

* Add print statements for debugging

* Fix tests on GPU

* Remove preprocessors, postprocessors and decoders from main init

* Add integration test

* Fix docs

* Replace einops by torch

* Update for new docs frontend

* Rename PerceiverForImageClassification

* Improve docs

* Improve docs

* Improve docs of PerceiverModel

* Fix some more tests

* Improve center_crop

* Add PerceiverForSequenceClassification

* Small improvements

* Fix tests

* Add integration test for optical flow model

* Clean up

* Add tests for tokenizer

* Fix tokenizer by adding special tokens properly

* Fix CI