* add support for MLFLOW_FLATTEN_PARAMS
* ensure key is str
* fix style and update warning msg
* Empty commit to trigger CI
* fix bug in check_inits.py
* add unittest for flatten_dict utils
* fix 'NoneType' object is not callable on __del__
* add generic flatten_dict unittest to SPECIAL_MODULE_TO_TEST_MAP
* fix style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
- Adds auto_batch_size finder
- Moves training loop to an inner training loop
* add get_overflowing_images function to ensure 1-to-1 mapping between samples and images in LayoutLMv2Processor
* make style
* add test for overflowing_tokens, change assert to ValueError, avoiding unrelated formatting changes
* change line length by passing --preview into black
* CLIP Serving
* Add type hints per code review
* Use black, flake8, and isort
* Update src/transformers/models/clip/modeling_tf_clip.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Rollback serving_output and add TODO
* Remove irrelevant portions of failing tests
* Revert "Rollback serving_output and add TODO"
This reverts commit a4abfa6ba3b7875a13538dbc2ddc4eb17dfcca8d.
* Rollback to original test/serving_output
* Fix unused var
* Apply suggestions from code review
* Update formatting with black
* Fix style again from rebase
* Update tests/models/clip/test_modeling_tf_clip.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sean Moriarity <sean.l.moriarity.mil@army.mil>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length
* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length
* correct t5 tokenizer
* correct t5 tokenizer
* fix test
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* finish
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* First draft
* Add YolosForObjectDetection
* Make forward pass work
* Add mid position embeddings
* Add interpolation of position encodings
* Add expected values
* Add YOLOS to tests
* Add integration test
* Support tiny model as well
* Support all models in conversion script
* Remove mid_pe_size attribute
* Make more tests pass
* Add model to README and fix config
* Add copied from statements
* Rename base_model_prefix to vit
* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP
* Apply suggestions from code review
* Apply more suggestions from code review
* Convert remaining checkpoints
* Improve docstrings
* Add YolosFeatureExtractor
* Add feature extractor to docs
* Add corresponding tests
* Fix style
* Fix docs
* Apply suggestion from code review
* Fix bad rebase
* Fix some more bad rebase
* Fix missing character
* Improve docs and variable names
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Fix issue avoid-misusing-assert-true found at https://codereview.doctor
* fix tests
* fix tf
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* begin do_init
* add params_shape_tree
* raise error if params are accessed when do_init is False
* don't allow do_init=False when keys are missing
* make shape tree a property
* assign self._params at the end
* add test for do_init
* add do_init arg to all flax models
* fix param setting
* disbale do_init for composite models
* update test
* add do_init in FlaxBigBirdForMultipleChoice
* better names and errors
* improve test
* style
* add a warning when do_init=False
* remove extra if
* set params after _required_params
* add test for from_pretrained
* do_init => _do_init
* chage warning to info
* fix typo
* add params in init_weights
* add params to gpt neo init
* add params to init_weights
* update do_init test
* Trigger CI
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update template
* trigger CI
* style
* style
* fix template
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add passing encoder_outputs as tuple to existing test
* Add check for tuple
* Add check for tuple also for speech and vision
Co-authored-by: jsnfly <jsnfly@gmx.de>
