GitLab

* Add test for multiple images

* [run slow] owlv2

* Fix box rescaling

* [run slow] owlv2

Remove float64

* Unit test to verify fix
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

* fix from_pretrained in offline mode when model is preloaded in cache
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

* minor: fmt
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

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Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>

* Remove backend checks in training_args.py

* Expilicit initialize the device

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Co-authored-by: tonghengwen <tonghengwen@cambricon.com>

Update quicktour.md to fix broken link

Missing '/' in attention mask link in the transformers quicktour

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

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

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

* fix pad_to_max_length Whisper

* add tests

* make style

fix quanto tests

* Fix link in dbrx.md

* remove "though this may not be up to date"

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Co-authored-by: Lysandre Debut <hi@lysand.re>

[push-ci-image]
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix devices and dtype assignments

* [run-slow]paligemma

* seems like `split_special_tokens` is used here

* split special token

* add new line at end of file

* moving split special token test to common tests

* added assertions

* test

* fixup

* add co-author

* passing rest of args to gptsan_japanese, fixing tests

* removing direct comparison of fast and slow models

* adding test support for UDOP and LayoutXLM

* ruff fix

* readd check if slow tokenizer

* modify test to handle bos tokens

* removing commented function

* trigger build

* applying review feedback - updated docstrings, var names, and simplified tests

* ruff fixes

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

* applying feedback, comments

* shutil temp directory fix

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Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
Co-authored-by: itazap <itazap@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MacBook-Pro.local>

* added interpolation for vitmae model in pytorch as well as tf.

* Update modeling_vit_mae.py

irreugalr import fixed

* small changes and proper formatting

* changes suggested in review.

* modified decoder interpolate_func

* arguments and docstring fix

* Apply suggestions from code review

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

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

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

* Fix remaining quant tests

* Update test_quanto.py

* Fix resume_download future warning

* better like this

* Add regression test

* allow multi-gpu

* allow multi-gpu

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

fix awq mistral test

* enable on xpu

* fix style

* add comment and mps

* add test that currently fails

* test passed

* all perceiver passed

* fixup, style, quality, repo-consistency, all passed

* Apply suggestions from code review: default to False + compute sqrt once only
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix a minor bracket

* replace dim with self._num_channels

* add arguments to the rest preprocessors

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

* fix

* [push-ci-image]

* run with latest

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

Fix training speed regression introduced by "optimize VRAM for calculating pos_bias in LayoutLM v2, v3 (#26139)" (#30988)

* Revert "optimize VRAM for calculating pos_bias in LayoutLM v2, v3 (#26139)"

This reverts commit a7e0ed82

.

* Instead of reverting commit, wrap indexing in torch.no_grad context

* Apply wrapping in LayoutLMv2

* Add comments explaining reason for no_grad

* Fix code format

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Co-authored-by: Kevin Koehncke <kevin.koehncke@uipath.com>

* add prefix space ignored in llama #29625

* adding test with add_prefix_space=False

* ruff

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Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>

* fix wandb always uploading initial model

* Update comment.

* Optionally log initial model

* Revert "Optionally log initial model"

This reverts commit 9602cc1fad3feaf218f82a7339a194d3d2fbb946.

* Fix typo in tokenization_nllb.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Fix typo in tokenization_nllb_fast.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Remove deprecated attributes in tokenization_nllb.py

Remove deprecated attributes: `lang_code_to_id`, `fairseq_tokens_to_ids`, `id_to_lang_code`, and `fairseq_ids_to_tokens`

* Remove deprecated attribute in tokenization_nllb_fast.py

Remove deprecated attribute `lang_code_to_id`

* Remove deprecated properties in tokenization_nllb.py

Remove deprecated properties - fix format

* Remove deprecated properties in tokenization_nllb_fast.py

Remove deprecated properties - fix format

* Update test_tokenization_nllb.py

* update test_tokenization_nllb.py

* Update tokenization_nllb.py

* Update test_tokenization_seamless_m4t.py

* Update test_tokenization_seamless_m4t.py

* chore: initial commit

* chore: adding imports and inits

* chore: adding the causal and classification code

* chore: adding names to the layers

* chore: using single self attn layer

* chore: built the model and layers

* chore: start with testing

* chore: docstring change, transpose fix

* fix: rotary embedding

* chore: adding cache implementation

* remove unused torch

* chore: fixing the indexing issue

* make fix-copies

* Use modeling_tf_utils.keras

* make fixup

* chore: fixing tests

* chore: adding past key value logic

* chore: adding multi label classfication test

* fix: switching on the built parameters in the layers

* fixing repo consistency

* ruff formats

* style changes

* fix: tf and pt equivalence

* removing returns from docstrings

* fix docstrings

* fix docstrings

* removing todos

* fix copies

* fix docstring

* fix docstring

* chore: using easier rotate_half

* adding integration tests

* chore: addressing review related to rotary embedding layer

* review changes

* [run-slow] mistral

* skip: test save load after resize token embedding

* style

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Co-authored-by: Matt <rocketknight1@gmail.com>

* fix

* fix

* fix

* fix

* fix

* [run-slow] mpt

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

* Add a check that warmup_setps is either 0 or >= 1

Update training_args.py to add a check that warmup_setps is either 0 or >= 1. Otherwise, raise an error.

* Update src/transformers/training_args.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>

* add xpu check

* add marker

* add documentation

* update doc

* fix ci

* remove from global init

* fix

* Fix accelerate tests

* fix clip

* skip dbrx tests

* fix GPTSan

* fix M2M100Model

* same fix as jamba

* fix mt5

* Fix T5Model

* Fix umt5 model

* fix switch_transformers

* fix whisper

* fix gptsan again

* fix siglip recent test

* skip siglip tests

* wrong place fixed

* Change in quantization docs

* Update overview.md

* Update docs/source/en/quantization/overview.md
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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

add torch.compile dynamic support

* refactor quant docs

* delete file

* rename to overview

* fix

* fix table

* fix

* add content

* fix library versions

* fix table

* fix table

* fix table

* fix table

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* replace to quantization_config

* fix aqlm snippet

* add DLAI courses

* fix

* fix table

* fix bulet points

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>