GitLab

* Fix Bug in Flax-Speech-Encoder-Decoder Test

* change thresholds for CPU precision

* Add attentions_option to common tester

* Fix tests, apply suggestion

* Apply suggestion from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Move generate docs

* up

* Update docs/source/_toctree.yml

* correct

* correct some stuff

* correct tests

* more fixes

* finish generate

* add to doc stest

* finish

* finalize

* add warning to generate method

"uvicorn" is misspelled as "unicorn".

* Add conversion script

* Improve script

* Fix bug

* Add option to push to hub

* Add support for classification models

* Update model name

* Upload feature extractor files first

* Remove hash checking

* Fix config

* Add id2label

* Add import

* Fix id2label file name

* Fix expected shape

* Add model to README

* Improve docs

* Add integration test and fix CI

* Fix code style

* Add missing init

* Add model to SPECIAL_MODULE_TO_TEST_MAP
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Freeze Feature Encoder in FlaxSpeechEncoderDecoder

* add backprop test

* boom boom

* enable doctest for few seq2seq models

* add seq2seq models in documentation_tests.txt

* fix docstring blenderbot

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix seq classif doc sample

* don't check loss for seq classif examples

* +IGNORE_OUTPUT => +IGNORE_RESULT

* fix _SEQ_CLASS_EXPECTED_OUTPUT_SHAPE

* fix some docs

* more fixes

* last fix (hopefully)

* fix big bird gen example

* fix mbart gen example
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add causal lm

* add CausalLM tests

* Add FlaxBartForCausalLM

* Add EncoderDecoder model tests

* change docstring

* make repo-consistency

* suggested changes

* remove jax ops

* correction

* rename pre-trained decoder model

* Add ONNX support for ViT

* Refactor to use generic preprocessor

* Add vision dep to tests

* Extend ONNX slow tests to ViT

* Add dummy image generator

* Use model_type to determine modality

* Add deprecation warnings for tokenizer argument

* Add warning when overwriting the preprocessor

* Add optional args to docstrings

* Add minimum PyTorch version to OnnxConfig

* Refactor OnnxConfig class variables from CONSTANT_NAME to snake_case

* Add reasonable value for default atol
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Use tiny model for TFRembertEncoderDecoderModelTest.get_pretrained_model()
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

at transformers/examples/pytorch/contrastive-image-text

Updates `PerceiverAudioPreprocessor` `forward()` implementation to match most other preprocessors / postprocessors

* Simplify release utils

* Quality

* Add issue number

* Dev

* removed an outdated check about hdf5_version
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* test

* up

* up

* Empty test commit

* up

* update tests

* up

* fix some vision models

* correct

* correct docs

* Trigger notification

* finalize

* check

* correct quicktour

* Apply suggestions from code review

* improve doctests

* Trigger Build

* next try

* next try

* and again

* Output current clone information

* Output current clone information

* Correct path

* add tf round again

* revert to daily job
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Adding ForInstanceSegmentation to pipelines.

* Last fix `category_id` renamed to `label_id`.

* Can't be none no more.

* No `is_thing_map` anymore.

* Seed get_train_sampler's generator with arg seed to improve reproducibility

and make the world_size<=1 code path more similar to the others

* move test file into trainer test explicitly

* dumb typo

* make style lint happy

* per discussion, switch to data_seed

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove packed past from generation_tf_utils

* update models with the new past format

* update template accordingly

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

Speedup training by using numpy instead of jnp for batch shuffling
Co-authored-by: Yeb Havinga <y.t.havinga@mgrid.net>

* Returning outputs only when asked for for MaskFormer.

* Adding `output_auxiliary_logits` to the config.

* Fix test across both cpu and gpu

* Fix typo

* Fix LayoutLMv2 test

* Update black

* set scale_embedding to False to avoid large (> 1e-5) output differences between PT/TF
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 📝 first draft

* 🖍 apply feedback

* 🖍 remove examples from toctree

* 🗑 remove examples from docs/source

Make is_thing_map in Feature Extractor post_process_panoptic_segmentation defaults to all instances (#15954)

* is_thing_map defaults to all instances

* better naming

* control flow

* resolving conversations

* Backprop Test for Freeze FlaxWav2Vec2 Feature Encoder

* remove jnp.ndarray type suggestion

* assert frozen grads are precisely zero

* Support modern list type hint in HfArgumentParser

* Fix formatting with black