GitLab

* fix: wav2vec2_with_lm decoding error

Fixed an error where some language models could
not be loaded due to a decoding error, since it
was impossible to select the 'unigram_encoding'
value.

* fix: unexpected keyword argument

Fixed unexpected keyword argument caused by
passing kwargs directly to BeamSearchDecoderCTC.

* style: wav2vec2_with_lm

Changed single quotes to double quotes.

* Enable load HF or tim backbone checkpoints

* Fix up

* Fix test - pass in proper out_indices

* Update docs

* Fix tvp tests

* Fix doc examples

* Fix doc examples

* Try to resolve DPT backbone param init

* Don't conditionally set to None

* Add condition based on whether backbone is defined

* Address review comments

SpeechBrain usage has changed

Fix DonutSwinLayer attention mask device

Bump transformers in /examples/research_projects/bertabs

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

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

* Add list check for image and question

* Handle passing two lists and update docstring

* Add tests

* Add support for dataset

* Add test for dataset as input

* fixup

* fix unprotected import

* fix unprotected import

* fix import again

* fix param type

Bump transformers in /examples/research_projects/codeparrot

Bumps [transformers](https://github.com/huggingface/transformers) from 4.19.0 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.19.0...v4.38.0

)

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

* Mark MobileNetV1ModelTest::test_batching_equivalence as flaky

* Add link to issue

* woops

* Initial attempt

* Updates: PR suggestions

* Interpolate the relative position bias when interpolate_pos_encoding is True

* Add slow tag for the added tests

* Add in DATA2VEC_VISION_INPUTS_DOCSTRING

* fix accelerate tests for roberta xl

* style

* Fix _save_tpu: use _maybe_convert_to_cpu instead of to cpu.

* fix lint

Bump transformers in /examples/research_projects/bertology

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

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

Switch from hf_hub_url to hf_hub_download in remaining occurences

* fix special tokens in generatioon

* fix test

* add warning

* fix the check

* warn once

* fix

* make mamba use cache

* uss cache naming as in mamba

* fix musicgen

* SwitchTransformer MoE layer performance improvement

* make fixup

* comments about shapes

* make fixup

no need for explicit EXTRA_TOKENS

Skip failing tests for now

* Fix contrastive_search for new cache structure, and improve performance by removing inneficient torch.stack(torch.split(x, top_k, dim=0))

* Fix _contrastive_search for non-standard cache using ellipsis slicing

* Fix all outputs.logits memory leaks for all decoding strategies!

* Fix small error in _contrastive_search()

* Make all necessary change and revert for the new class

* Apply coding style

* Remove pipes in type hints for compatibility

* correct type hint

* apply style

* Use DynamicCache by default and solve conflicts

* Fix rebase issues

* Add `_supports_dynamic_cache_class` in models for models that support DynamicCache but not other caches to make DynamicCache the default for more models

* Create generation config to return legacy format by default, or to choose not to

* style

* Fix case when use_cache is False

* Remove default DynamicCache in assiste_decoding if assistant_model does not support it + fix _seen_tokens when cropping cache

* Update prepare_inputs_for_generation() for case with empty DynamicCache

* Correct return of args in _assisted_decoding

* Remove EfficientDynamicCache as it is no longer needed

* Correct mistake in generation config

* Move cache logic of assisted decoding to AssistedCandidateGenerator.__init__

* change DynamicCache function names from "split" to "batch_split" for readability + apply coding style

* Remove `_supports_dynamic_cache_class` attribute after rebase

* Correct missing line lost in conflict resolution during rebasing

* Add special case for Jamba

* Fix jamba test

* Coding style

* coding style

* Correct missing import in rebasing

* Simplify _validate_model_kwargs based on removal of _supports_dynamic_cache attribute

* Simplify code paths in _contrastive_search

* coding style

* Update docstrings of cache methods

* Update prepare_inputs_for_generation() -> past_key_values are always Cache objects

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

* add flaubert tokenization test, enrich inheritance in FlaubertTokenizer.

* fix quality code ci

* ensure parameter consistency

* fix ci

* fix copyright year and flatten vocab list.

* fix style

* doc: add info about wav2vec2 bert in older wav2vec2 models.

* apply suggestions from review.

* forward contrib credits from review

---------
Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.github.com>

Bump transformers in /examples/research_projects/deebert

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

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

* Move label validation checks - fail early

* Remove some formatting changes - add back labels change wav2vec2

* benchmark workflow

* benchmark workflow

* benchmark workflow

* benchmark workflow

* build

* build

* build

* build

* build

* build

* build

* build

* build

* build

* build

* build

* build

* build

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

Fixed torch definition error

The StoppingCriteriaList allocates is_done without specifying dtype=torch.bool. On XLA this allocates a float tensor and causes a failure on the following line:

is_done = is_done | criteria(input_ids, scores, **kwargs)

by attempting to OR float with bool.

Bump transformers in /examples/research_projects/vqgan-clip

Bumps [transformers](https://github.com/huggingface/transformers) from 4.26.0 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.26.0...v4.38.0

)

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

* build

* build

* build

* build

* fix

* fix

* fix

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

* Move out common validation

* Add missing backbone config arguments

* deprecate blip

* mention deprecation on docs

* fix

* fix

* fix

* fix

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

✨

 Add new line switch before logging "***** Running {description} *****".
Signed-off-by: jacklanda <yonyonlau@gmail.com>

* Fix pipeline tests - torch imports

* Frameowrk dependant float conversion

* fix logits dtype

* Add bf16/fp16 tests for text_classification pipeline

* Update test_pipelines_text_classification.py

* fix

* fix