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Fix xlnet torch.ones usage
Co-authored-by: sungho-ham <sungho.ham@linecorp.com>

Bump jinja2 in /examples/research_projects/decision_transformer

Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.3 to 3.1.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.3...3.1.3

)

---
updated-dependencies:
- dependency-name: jinja2
  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 mixtral fused modules

* add changes from modeling utils

* add test

* fix test + rope theta issue

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

* add tests

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

* Update meatdata loading for oneformer

* Enable loading from a model repo

* Update docstrings

* Fix tests

* Update tests

* Clarify repo_path behaviour

* Mark two logger tests as flaky

* Add description to is_flaky

* add llava + fused modules

* Update src/transformers/models/llava/modeling_llava.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [docs] Fix broken link
Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

* [docs] Use shorter domain
Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

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Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>

* update version for cpu training

* update docs for cpu training

* fix readme

* fix readme

* fix

* fix

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

* Correct the implementation of auxiliary loss of mixtrtal

* correct the implementation of auxiliary loss of mixtrtal

* Implement a simpler calculation method

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Co-authored-by: zhangliangxu3 <zhangliangxu3@jd.com>

* Correctly resolve trust_remote_code=None for AutoTokenizer

* Second attempt at a proper resolution

* chore(phi): Updates configuration_phi with missing keys.

* chore(phi): Adds first draft of combined modeling_phi.

* fix(phi): Fixes according to latest review.

* fix(phi): Removes pad_vocab_size_multiple to prevent inconsistencies.

* fix(phi): Fixes unit and integration tests.

* fix(phi): Ensures that everything works with microsoft/phi-1 for first integration.

* fix(phi): Fixes output of docstring generation.

* fix(phi): Fixes according to latest review.

* fix(phi): Fixes according to latest review.

* fix(tests): Re-enables Phi-1.5 test.

* fix(phi): Fixes attention overflow on PhiAttention (for Phi-2).

* fix(phi): Improves how queries and keys are upcast.

* fix(phi): Small updates on latest changes.

* optionally preprocess segmentation maps for mobilevit

* changed pretrained model name to that of segmentation model

* removed voc-deeplabv3 from model archive list

* added preprocess_image and preprocess_mask methods for processing images and segmentation masks respectively

* added tests for segmentation masks based on segformer feature extractor

* use crop_size instead of size

* reverting to initial model

While using `run_clm.py`,[^1] I noticed that some files were being added
to my global cache, not the local cache. I set the `cache_dir` parameter
for the one call to `evaluate.load()`, which partially solved the
problem. I figured that while I was fixing the one script upstream, I
might as well fix the problem in all other example scripts that I could.

There are still some files being added to my global cache, but this
appears to be a bug in `evaluate` itself. This commit at least moves
some of the files into the local cache, which is better than before.

To create this PR, I made the following regex-based transformation:
`evaluate\.load\((.*?)\)` -> `evaluate\.load\($1,
cache_dir=model_args.cache_dir\)`. After using that, I manually fixed
all modified files with `ruff` serving as useful guidance. During the
process, I removed one existing usage of the `cache_dir` parameter in a
script that did not have a corresponding `--cache-dir` argument
declared.

[^1]: I specifically used `pytorch/language-modeling/run_clm.py` from
v4.34.1 of the library. For the original code, see the following URL:
https://github.com/huggingface/transformers/tree/acc394c4f5e1283c19783581790b3dc3105a3697/examples/pytorch/language-modeling/run_clm.py.

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

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

* change truncate_sequences

* Update tokenization_utils_base.py

* change format

* fix when ids_to_move=0

* fix

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

Enable multi-label image classification

* Assitant model may on a different device

* fix tensor device

* [Whisper] Fix slow test

* update

* update

* update

* update

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

* Remove ErnieConfig, ErnieMConfig check_docstrings

* Run fix_and_overwrite for ErnieConfig, ErnieMConfig

* Replace <fill_type> and <fill_docstring> in configuration_ernie, configuration_ernie_m.py with type and docstring values

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Co-authored-by: vignesh-raghunathan <vignesh_raghunathan@intuit.com>

* Changed logic for renaming staging directory when saving checkpoint to only operate with the main process.
Added fsync functionality to attempt to flush the write changes in case os.rename is not atomic.

* Updated styling using make fixup

* Updated check for main process to use built-in versions from trainer
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Fixed incorrect usage of trainer main process checks
Added with open usage to ensure better file closing as suggested from PR
Added rotate_checkpoints into main process logic

* Removed "with open" due to not working with directory. os.open seems to work for directories.

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Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* update docs

* added Tip

Fixup test

* Fix test

* Skip

fix(generation/logits_process.py): BarkEosPrioritizerLogitsProcessor eos_token_id use list, tensor size mismatch
Co-authored-by: chenhanhui <chenhanhui@kanzhun.com>

Bump fonttools in /examples/research_projects/decision_transformer

Bumps [fonttools](https://github.com/fonttools/fonttools) from 4.31.1 to 4.43.0.
- [Release notes](https://github.com/fonttools/fonttools/releases)
- [Changelog](https://github.com/fonttools/fonttools/blob/main/NEWS.rst)
- [Commits](https://github.com/fonttools/fonttools/compare/4.31.1...4.43.0

)

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

Use mmap option to load_state_dict (#28331)

* fix `_merge_input_ids_with_image_features` for llava model

* Update src/transformers/models/llava/modeling_llava.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* adress comments

* style and tests

* ooops

* test the backward too

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update tests/models/vipllava/test_modeling_vipllava.py

* style and quality

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Fix initialization for missing parameters in `from_pretrained` under ZeRO-3

* Test initialization for missing parameters under ZeRO-3

* Add more tests

* Only enable deepspeed context for per-module level parameters

* Enable deepspeed context only once

* Move class definition inside test case body

* fix auxiliary loss training in detrSegmentation

* add auxiliary_loss testing

* [SDPA] Make sure attn mask creation is always done on CPU

* Update docker to 2.1.1

* revert test change