GitLab

Prevent `TextGenerationPipeline._sanitize_parameters` from overriding previously provided parameters (#30362)

* Fixed TextGenerationPipeline._sanitize_parameters default params

* removed empty spaces

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Co-authored-by: Ng, Yen Ting <yen.ting.ng@intel.com>

Update quantizer_hqq.py

* Remove comparison to output_dir

* Update docs for `run_name`

* Add warning

* add bias

* fix quality

* Fix CI after #30410

* [run-slow] blenderbot

* update HQQ transformers integration

* push import_utils.py

* add force_hooks check in modeling_utils.py

* fix | with Optional

* force bias as param

* check bias is Tensor

* force forward for multi-gpu

* review fixes pass

* remove torch grad()

* if any key in linear_tags fix

* add cpu/disk check

* isinstance return

* add multigpu test + refactor tests

* clean hqq_utils imports in hqq.py

* clean hqq_utils imports in quantizer_hqq.py

* delete hqq_utils.py

* Delete src/transformers/utils/hqq_utils.py

* ruff init

* remove torch.float16 from __init__ in test

* refactor test

* isinstance -> type in quantizer_hqq.py

* cpu/disk device_map check in quantizer_hqq.py

* remove type(module) nn.linear check in quantizer_hqq.py

* add BaseQuantizeConfig import inside HqqConfig init

* remove hqq import in hqq.py

* remove accelerate import from test_hqq.py

* quant config.py doc update

* add hqqconfig to main_classes doc

* make style

* __init__ fix

* ruff __init__

* skip_modules list

* hqqconfig format fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* test_hqq.py remove mistral comment

* remove self.using_multi_gpu is False

* torch_dtype default val set and logger.info

* hqq.py isinstance fix

* remove torch=None

* torch_device test_hqq

* rename test_hqq

* MODEL_ID in test_hqq

* quantizer_hqq setattr fix

* quantizer_hqq typo fix

* imports quantizer_hqq.py

* isinstance quantizer_hqq

* hqq_layer.bias reformat quantizer_hqq

* Step 2 as comment in quantizer_hqq

* prepare_for_hqq_linear() comment

* keep_in_fp32_modules fix

* HqqHfQuantizer reformat

* quantization.md hqqconfig

* quantization.md model example reformat

* quantization.md # space

* quantization.md space   })

* quantization.md space   })

* quantization_config fix doc
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* axis value check in quantization_config

* format

* dynamic config explanation

* quant config method in quantization.md

* remove shard-level progress

* .cuda fix modeling_utils

* test_hqq fixes

* make fix-copies

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Output `None` as attention when layer is skipped

* Add test for output_attentions

* add missing docstrings to docs

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

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* does this work?

* like this?

* fix the other generate links

* missing these

* phi3 chat_template does not support system role

* fix doc test error

* fix

* fix

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

* fix:missing `output_router_logits` in SwitchTransformers

* fix whitespace in blank line

* Update image_processing_vitmatte.py

* add test

* [run-slow]vitmatte

* Fix memory leak with CTC training script on Chinese languages

* Fix lint

* failiing CI

* no let's keep it intil full deprecation in  v4.42

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1

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Bump pillow in /examples/research_projects/decision_transformer

Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.1 to 10.2.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/10.0.1...10.2.0

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Bump torch from 1.9.0+cpu to 1.13.1 in /examples/research_projects/jax-projects/hybrid_clip (#21167)

Bump torch in /examples/research_projects/jax-projects/hybrid_clip

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1

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Bump torch in /examples/research_projects/decision_transformer

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.11.0...v1.13.1

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* Ensure input_embeds and image_features are the same dtype in autocast

* Fix nans in half precision llava-next and fix autocasting behavior.

* Fix styling issues.

* fix randn newline instantiation

* fix broken slow llava test

* Fix llava next init.

* fix styling issues

* [run-slow]llava,llava_next

* fix styling issues

* Add improvements

* Address comment

Fix image segmentation example - don't repoen image

Bump torch in /examples/research_projects/visual_bert

Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.6.0...v1.13.1

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Bump torch in /examples/research_projects/codeparrot

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.11.0...v1.13.1

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Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.6.0...v1.13.1

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Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/apache-arrow-1.0.1...go/v15.0.0

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Bump pyarrow in /examples/research_projects/visual_bert

Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/apache-arrow-1.0.1...go/v15.0.0

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Bump pyarrow in /examples/research_projects/decision_transformer

Bumps [pyarrow](https://github.com/apache/arrow) from 7.0.0 to 15.0.0.
- [Commits](https://github.com/apache/arrow/compare/go/v7.0.0...go/v15.0.0

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Bump gitpython in /examples/research_projects/distillation

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.32...3.1.41

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Bump grpcio in /examples/research_projects/decision_transformer

Bumps [grpcio](https://github.com/grpc/grpc) from 1.44.0 to 1.53.2.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Changelog](https://github.com/grpc/grpc/blob/master/doc/grpc_release_schedule.md)
- [Commits](https://github.com/grpc/grpc/compare/v1.44.0...v1.53.2

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Bump gitpython in /examples/research_projects/decision_transformer

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.32...3.1.41

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* Gemma: only display act. warning when necessary

This is a nit PR, but I was confused. I got the warning even after I
had changed `hidden_act` to `gelu_pytorch_tanh`, telling me that I
was using the "legacy" `gelu_pytorch_tanh`.

Another option is to keep the warning but change the message to say
something like "`hidden_act` is ignored, please use `hidden_activation`
instead. Setting Gemma's activation function to `gelu_pytorch_tanh`".

* Change message, and set `config.hidden_activation`

Fix --model_type in examples

remove example

* Handle cases when CLS token is absent

* Use BOS token as a fallback