GitLab

* corrected/clarified the code comment of find_pruneable_heads_and_indices

* have run make style

* Initial commit

* more stash commit

* Yet another stash commit

* yet more stash commit

* Mostly working except for docs / repo consistency

* Stop importing model list from torch file

* Add TF BLIP models to docs

* Add auto classes

* Move get_text_features and get_image_features

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/blip/test_modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/blip/test_modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update tests/models/blip/test_modeling_tf_blip_text.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Use channels_last convolutions in TF (better performance + compatibility)

* Remove _shape function

* Move multi-line statement to one line in PT + TF

* Specify tf.keras.layers instead of importing from it

* Remove test_gradient_checkpointing and empty test_training methods

* move some multi-line statements to one line

* Update docstring for generate

* Remove pruned heads set

* Remove self.seq_len_dim

* Fixed issues with loss computation, should resolve some tests. Also ensured that the PT version follows the config for output_attentions and output_hidden_states

* ensure original model follows config in more cases

* Skip the same cross-attention tests in the PT tests - didn't realize we did it twice!

* Add training args throughout the models and layers

* make fixup

* Fix docstring for inputs_embeds

* Add docstring for is_decoder

* Add docstrings to text models

* Remove redundant computation

* Add unpack_inputs / keras_serializable

* Add modeling_tf_blip to doctests

* Add config classes for keras serialization

* Changes to allow model porting with pt-to-tf

* Quick fix to decoder head and test tweaks

* Revert an issue with masking the embeddings outputs

* Allow missing keys in some equivalence tests (for unused layers)

* Add tf-pt equivalence tests back in

* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make fixup

* Refactor invert_attention_mask out into tf_utils

* Re-enable cross-tests on the PT side too

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Soft error whisper.

* Fix format.

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-34-94.taildb5d.ts.net>

Add id2label and label2id to config in run_xnil

Update modeling_utils.py

* implemented safetensors save/load

* remove duplicated file

* added tests

* more tests

* style fix

* fix tf tests

* change to list comprehension
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* review fixes + safe load for sharded checkpoint

* style fix

* remove rogue import

* remove partial to avoid undefined exception

* use naming alias instead of safetensors.torch

* fix safe sharding in tests

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

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

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

* minor corrections

* style

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

* fix the prefix tokens

* update fast and test values

* add legacy behaviour
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* update disclaimer, linkissue PR and behaviral changes

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* styling

* make a quote

* quote this time

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Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

[Roformer] Fixing a bug in RoFormerEncoder where it was ignoring the length of past_key_values when generating as a decoder (#22416)

* fix RoFormerEncoder postion embedding when generate as decoder

* make fixup

* add test case for check generate with past key values

* remove duplicating code

* Fix OPTForQuestionAnswering doc string

for more adequate model answer decoding

* black style fix

* doc-builder style

* [setup] migrate setup script to `pyproject.toml`

* [setup] cleanup configurations

* remove unused imports

* [setup] drop deprecated `distutils` usage

* drop deprecated `distutils.util.strtobool` usage

* fix import order

* reformat docstring by `doc-builder`

* enable PP for T5

* make fixup

* fix failing tests

[`Trainer`] Force `is_model_parallel` when model is loaded in multiple GPUs using `accelerate` (#22532)

* add `is_model_parallel` arg on Trainer

* add warning

* adapt from suggestions

* revert t5 changes

* remove commas

* adapt from suggestions

LayoutLMv3TokenizerFast produces empty 'Ġ' token with `offset_mapping = (0, 0)`.
Next token is wrongly assumed to also be beginning of word and isn't
correctly assigned `pad_token_label`.
Modify test with text that produce 'Ġ' token.
Remove copy check from LayoutLMv2TokenizerFast for `_batch_encode_plus`.

solves issue: #19978

`load_checkpoint()` silently fails because `".qkj_proj." in key` is always `False`, but will eventually cause an error at `model.load_state_dict(state_dict)`.

* haha text go brrr (but in gradio)

* added biogpt token classifier

* fix reviews

* Updated modeling_biogpt.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

docs: ko: sagemaker.mdx

* draft

* update tokenization limma and conversion script

* more udpates

* initial commit

* style

* default pad to None

* draft tokenization tests

* update test

* update tokenization tests

* nits

* update

* versioning test

* major fix

* fix more testst

* finish fixing special masks

* last nit

* more nits

* add encode decode tests

* add more

* fix token type ids

* style

added > 0.5 to `past_observed_mask`

* Add out_indices to backbones, deprecate out_features

* Update - can specify both out_features and out_indices but not both

* Can specify both

* Fix copies

* Add out_indices to convnextv2 configuration

* Test fetcher v2

* Fix regexes

* Remove sanity check

* Fake modification to OPT

* Fixes some .sep issues

* Remove fake OPT change

* Fake modif for BERT

* Fake modif for init

* Exclude SageMaker tests

* Fix test and remove fake modif

* Fake setup modif

* Fake pipeline modif

* Remove all fake modifs

* Adds options to skip/force tests

* [test-all-models] Fake modif for BERT

* Try this way

* Does the command actually work?

* [test-all-models] Try again!

* [skip circleci] Remove fake modif

* Remove debug statements

* Add the list of important models

* Quality

* Update utils/tests_fetcher.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Address review comments

* Fix and add test

* Apply suggestions from code review
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Address review comments

---------
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* update NeptuneCallback docstring

* formatting

* apply make style

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Co-authored-by: Aleksander Wojnarowicz <alwojnarowicz@gmail.com>

Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.5.3 to 4.5.4.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.5.3...v4.5.4

)

---
updated-dependencies:
- dependency-name: redis
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Making sure we can use safetensors to serialize all the time.

* Expanding the tests for increased coverage.

* Update the test.

* Getting current state of affairs.

* Tentative fix.

* Fixing black version.

* Fixing the worst offenders.

* Try to modify less files.

* Fixing blip_2 (Weird solution right now).

* Fixing deta.

* Fix blip ?

* Missing extra newline.

* No deta modification.

* Adding some comments.

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

* Addressing comments.

* Addressing comments.

* creating warn_once.

* Warning_once !

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

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

* Relax  checks from  to warning

* Fix style

* Replace warnings with logger

* Use warning vs warn

* Enable Nightly + Past CI

* put schedule

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

Docs fix: Multinomial sampling decoding needs "num_beams=1", since by default it is usually not 1. (#22473)

Fix: Multinomial sampling needs "num_beams=1", since by default is 5.

* Llama now supports max_position_embeddings

* Save config; Cosmetic edits

edit default model type and testing path set to hf-internal-testing