GitLab

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

* 🖍 fix links in guides

* 🖍 apply feedback

* Aggressive PT/TF equivalence test on PT side

* Ugly fix for `TFTapasForQuestionAnswering`

* apply review suggestions
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Make test_equivalence_pt_to_flax more aggressive

* Make test_equivalence_flax_to_pt more aggressive

* don't use to_tuple

* clean-up

* fix missing test cases + testing on GPU

* fix conversion

* fix `ValueError: assignment destination is read-only`

* Add type checking

* commit to revert later

* Fix

* fix

* fix device

* better naming

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

* value check for typical sampling

* value check for typical sampling

* change from float to int comparison
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add unpack_inputs decorator for ctrl

* replace "past" with "past_key_values"
Co-authored-by: Johannes Kolbe <johannes.kolbe@tech.better.team>

* update XLM with tf decorator

* move to top decorator

* set unpack_inputs as top decorator
Co-authored-by: Louis Owen <yellow@Louis-Owen.local>

* Override _pad in LEDTokenizer

* Override _pad in LEDTokenizerFast

* add Copied from

* calling the super method

* add comment about -1
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Change assertion to warning when passing past_key_value to T5 encoder

* lint

* Attention mask is important in the case of batching...

* Improve the fix.

* Making the sentence different enough that they exhibit different
predictions.

* Update expected slices for pillow > 9

* Add expected slices depending on pillow version

* Add different slices depending on pillow version for other models
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

integrations: mlflow: skip start_run() if a run is already active and sanity check on enabling integration (#16131)

* integrations: mlflow: skip start_run() call if a run is already active

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

* [Generate Docs] Correct docs

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* skip the test

* fix

* fix skip

* add unpack_inputs decorator

* small fix for attn_mask string
Co-authored-by: Johannes Kolbe <johannes.kolbe@tech.better.team>

* Support PEP 563 for HfArgumentParser

* Fix issues for Python 3.6

* Add test for string literal annotation for HfArgumentParser

* Remove wrong comment

* Fix typo

* Improve code readability
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Use `isinstance` to compare types to pass quality check

* Fix style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Skip test for TransfoXL

* Single list

* Adding Unpack Decorator

* Adding Unpack Decorator-moved it on top

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

* Fix device

* Clean up
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* fix(transfo_xl): Fixes TransfoXL support when using Trainer.

* fix(tests): Uses losses_1 and losses_2 pattern with TransfoXL test.

* fix(transfo_xl): Adds requested changes to allow for backward compatibility.

fix(transfo_xl): Adds requested changes to allow for backward compatibility.

fix(transfo_xl): Fixes code styling.

* Backward compatibility

* Update src/transformers/models/transfo_xl/modeling_transfo_xl.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Gustavo de Rosa <gth.rosa@uol.com.br>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* done

* done

* add types annotations for Beit (PyTorch)

* add types annotations for ViT (PyTorch)

* add types annotations for Deit (PyTorch)

* change Optional[bool] to bool into some places at Beit

* change Optional[bool] to bool into some places at ViT

* up

* fix min lengths

* padding done

* correctly return one attention per layer

* almost correct, attentions are not flatten one tuple per stage

* tests green

* doc

* conversations

* reshaping hidden_states

* view in the test

* reshape_hidden_states in Encoder and Model

* new outputs with reshaped_hidden_states

* conversations

* doc

* Update docs/source/model_doc/swin.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* conversations

* fix tests

* minor changes

* resolved conversations

* attentions one per stage

* typo

* typos

* typos

* function signature

* CI

* clean up tests
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* override from_pretrained

* add tests

* remove docstrings

* fix typo

* Trigger CI

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