GitLab

* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal

* Update not-doctested.txt

* Fix JA and ZH docs

* Fix JA and ZH docs some more

* Fix JA and ZH docs some more

Bump transformers in /examples/research_projects/bert-loses-patience

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

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Bump aiohttp in /examples/research_projects/decision_transformer

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.9.0 to 3.9.4.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.9.0...v3.9.4

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Bump tornado in /examples/research_projects/visual_bert

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.3 to 6.4.1.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.3...v6.4.1

)

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* Implement JSON dump conversion for torch_dtype in TrainingArguments

* Add unit test for converting torch_dtype in TrainingArguments to JSON

* move unit test for converting torch_dtype into TrainerIntegrationTest class

* reformating using ruff

* convert dict_torch_dtype_to_str to private method _dict_torch_dtype_to_str

---------
Co-authored-by: jun.4 <jun.4@kakaobrain.com>

* added hidden subset

* debugged hidden subset contrastive search

* added contrastive search compression

* debugged compressed contrastive search

* memory reduction for contrastive search

* debugged mem red

* added low memory option feature

* debugged mem optmimization output stack

* debugged mem optmimization output stack

* debugged low mem

* added low mem cache

* fixed 2047 tensor view

* debugged 2042 past key val inputs

* reformatted tensors

* changed low mem output

* final clean

* removed subset hidden csearch

* fixed hidden device

* fixed hidden device

* changed compressor dtype

* removed hstate compression

* integrated csearch in generate

* test csearch integration into generation

exit()

* fixed csearch kwarg integration with generation

* final wrap and added doc

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

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

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

* added debug print

* direct hstate cat

* direct hstate cat

* direct hstate cat debug

* direct hstate cat debug

* expanded full hidden state stack

* expanded full hidden state stack

* matched dims for hstates

* matched dims for hstates

* logits fix

* equality test

* equality hidden debug

* debug

* added prints for debug

* added prints for debug

* equality check

* switched squeeze dim

* input format debug

* tracing top_k_ids

* removed trace

* added test context

* added jitter

* added jitter

* added jitter

* returned state

* rebuilt past key value reconstruction

* debugged

* cleaned traces

* added selection for pkv

* changed output to dict

* cleaned

* cleaned

* cleaned up contrastive search test

* moved low_memory kwarg

* debugged

* changed low mem test batch size to 1

* removed output

* debugged test input shape

* reformatted csearch test

* added trace

* removed unsqueeze on final forward pass

* replaced unsqueeze with view

* removed traces

* cleaned

* debugged model kwargs

* removed special models from test

* ran make quality

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

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

* refactored

* refactored

* refactored

* make fixup

* renamed flag sequential

* renamed flag sequential

* iterative onloading

* black style and test utils

* added traces for integrated test

* debugged

* added traces

* make style

* removed traces, make style

* included suggestions and added test

* debugged test

* added offload module check and make style

* is_accelerate_available and make style

* added test decorator

* changed test model and config spec

* added offload condition

* added lazy loading for each shard

* debugged

* modified sharding

* debugged

* added traces

* removed safe serialization

* no index overload;

* trace on safe save ptrs

* added ptr condition

* debugged

* debugged ptr

* moved module map init

* remake shard only for offloaded modules

* refactored

* debugged

* refactored

* debugged

* cleaned and make style

* cleaned and make style

* added trace

* sparse module map

* debugged

* removed module map conditional

* refactored

* debug

* debugged

* added traces

* added shard mem trace

* added shard mem trace

* removed underlying storage check

* refactored

* memory leak removal and make style

* cleaned

* swapped test decs and make style

* added mem checks and make style

* added free mem warning

* implemented some suggestions

* moved onloading to accelerate

* refactored for accelerate integration

* cleaned test

* make style

* debugged offload map name

* cleaned and make style

* replaced meta device check for sharding

* cleaned and make style

* implemented some suggestions

* more suggestions

* update warning
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* more suggestions

* make style

* new make style

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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

---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix jetmoe model

* Remove skip-tests

* 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

)

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* 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

)

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  dependency-type: direct:production
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* 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

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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

)

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* 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

)

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* build

* build

* build

* build

* fix

* fix

* fix

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