fix my bad

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

fix

fix load key name for _load_rng_state under torch.cuda

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

* speeddddd

* speeddddd

* speeddddd

* speeddddd

---------

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

* Optimize Qwen2VL vision model by precomputing cos/sin embeds before ViT blocks

* Make rotary_pos_emb optional & fix type

* Adapt pre-computed cos/sin to Qwen2.5VL

* More concise

* Remove traces of the progressbar

* Use tqdm auto

* tmp commit

* move tests to the right class

* remove ALL all_generative_model_classes = ...

* skip tf roberta

* skip InstructBlipForConditionalGenerationDecoderOnlyTest

* videollava

* reduce diff

* reduce diff

* remove  on vlms

* fix a few more

* manual rebase bits

* more manual rebase

* remove all manual generative model class test entries

* fix up to ernie

* a few more removals

* handle remaining cases

* recurrent gemma

* it's better here

* make fixup

* tf idefics is broken

* tf bert + generate is broken

* don't touch tf :()

* don't touch tf :(

* make fixup

* better comments for test skips

* revert tf changes

* remove empty line removal

* one more

* missing one

* add disable compile code

* fix

* fix training issues

* Update

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

---------

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

* Resolve vptq conflict

* Rename spqr package to spqr_quant

* Get rid of aqlm mention

* Start working on tests

* Resolve ruff code checks

* Ruff format

* Isort

* Test updates

* Add gpu tag

* Rename to modules_to_not_convert

* Config update

* Docs and config update

* Docs and config update

* Update to update_torch_dtype

* spqr config parameter validation

* Ruff update

* Apply ruff fixes

* Test fixes

* Ruff update

* Mark tests as @slow again; Ruff; Docstring update

* Ruff

* Remove absolute path

* Resolve typo

* Remove redundandt log

* Check accelerate/spqr availability

* Ruff fix

* Check if the config contains proper shapes

* Ruff test

* Documentation update

* overview update

* Ruff checks

* Ruff code quality

* Make style

* Update docs/source/en/quantization/spqr.md

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

* Update spqr.md

* Enable gptqmodel (#35012)

* gptqmodel

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update readme

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* gptqmodel need use checkpoint_format (#1)

* gptqmodel need use checkpoint_format

* fix quantize

* Update quantization_config.py

* Update quantization_config.py

* Update quantization_config.py

---------

Co-authored-by: ZX-ModelCloud <zx@modelcloud.ai>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* Revert quantizer_gptq.py (#2)

* revert quantizer_gptq.py change

* pass **kwargs

* limit gptqmodel and optimum version

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix warning

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix version check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* revert unrelated changes

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* enable gptqmodel tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix requires gptq

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix Transformer compat (#3)

* revert quantizer_gptq.py change

* pass **kwargs

* add meta info

* cleanup

* cleanup

* Update quantization_config.py

* hf_select_quant_linear pass checkpoint_format and meta

* fix GPTQTestCUDA

* Update test_gptq.py

* gptqmodel.hf_select_quant_linear() now does not select ExllamaV2

* cleanup

* add backend

* cleanup

* cleanup

* no need check exllama version

* Update quantization_config.py

* lower checkpoint_format and backend

* check none

* cleanup

* Update quantization_config.py

* fix self.use_exllama == False

* spell

* fix unittest

* fix unittest

---------

Co-authored-by: LRL <lrl@lbx.dev>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format again

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update gptqmodel version (#6)

* update gptqmodel version

* update gptqmodel version

* fix unit test (#5)

* update gptqmodel version

* update gptqmodel version

* "not self.use_exllama" is not equivalent to "self.use_exllama==False"

* fix unittest

* update gptqmodel version

* backend is loading_attibutes (#7)

* fix format and tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix memory check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix device mismatch

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix result check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Update src/transformers/quantizers/quantizer_gptq.py

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

* Update src/transformers/quantizers/quantizer_gptq.py

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

* Update src/transformers/quantizers/quantizer_gptq.py

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

* update tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* review: update docs (#10)

* review: update docs (#12)

* review: update docs

* fix typo

* update tests for gptqmodel

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update document (#9)

* update overview.md

* cleanup

* Update overview.md

* Update overview.md

* Update overview.md

* update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

---------

Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* typo

* doc note for asymmetric quant

* typo with apple silicon(e)

* typo for marlin

* column name revert: review

* doc rocm support

* Update docs/source/en/quantization/gptq.md

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

* Update docs/source/en/quantization/gptq.md

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

* Update docs/source/en/quantization/gptq.md

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

* Update docs/source/en/quantization/gptq.md

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

* Update docs/source/en/quantization/overview.md

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

* Update docs/source/en/quantization/overview.md

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

---------

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: LRL-ModelCloud <165116337+LRL-ModelCloud@users.noreply.github.com>
Co-authored-by: ZX-ModelCloud <zx@modelcloud.ai>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>
Co-authored-by: ZX-ModelCloud <165115237+ZX-ModelCloud@users.noreply.github.com>
Co-authored-by: LRL <lrl@lbx.dev>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Fix : Nemotron Processor in GGUF conversion (#35708)

* fixing nemotron processor

* make style

* Update docs/source/en/quantization/spqr.md

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

* Add missing TOC to doc

---------

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: LRL-ModelCloud <165116337+LRL-ModelCloud@users.noreply.github.com>
Co-authored-by: ZX-ModelCloud <zx@modelcloud.ai>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>
Co-authored-by: ZX-ModelCloud <165115237+ZX-ModelCloud@users.noreply.github.com>
Co-authored-by: LRL <lrl@lbx.dev>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

Bump transformers in /examples/research_projects/adversarial

Bumps [transformers](https://github.com/huggingface/transformers) from 4.38.0 to 4.48.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.38.0...v4.48.0

)

---
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>

Bump transformers in /examples/tensorflow/language-modeling-tpu

Bumps [transformers](https://github.com/huggingface/transformers) from 4.38.0 to 4.48.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.38.0...v4.48.0

)

---
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>

* revert inputs_embeds len

* Update test_utils.py

* make fixup

* fix

* fix

test was weird

skip modular checks based on diff

* Remove loading custom kernels

* Remove config param

* Fixup

* first commit

* adding kernels

* fix create_quantized_param

* fix quantization logic

* end2end

* fix style

* fix imports

* fix consistency

* update

* fix style

* update

* udpate after review

* make style

* update

* update

* fix

* update

* fix docstring

* update

* update after review

* update

* fix scheme

* update

* update

* fix

* update

* fix docstring

* add source

* fix test

---------

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

* Helium documentation fixes

* Update helium.md

* Update helium.md

* Update helium.md

* Add implementation for DataCollatorForMultipleChoice based on docs.

* Add DataCollatorForMultipleChoice to import structure.

* Remove custom DataCollatorForMultipleChoice implementations from example scripts.

* Remove custom implementations of DataCollatorForMultipleChoice from docs in English, Spanish, Japanese and Korean.

* Refactor torch version of DataCollatorForMultipleChoice to be more easily understandable.

* Apply suggested changes and run make fixup.

* fix copies, style and fixup

* add missing documentation

* nits

* fix docstring

* style

* nits

* isort

---------

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

* Fix the bug in tokenizer.save_pretrained when saving tokenizer_class to tokenizer_config.json

* Update tokenization_utils_base.py

* Update tokenization_utils_base.py

* Update tokenization_utils_base.py

* add tokenizer class type test

* code review

* code opt

* fix bug

* Update test_tokenization_fast.py

* ruff check

* make style

* code opt

* Update test_tokenization_fast.py

---------

Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>
Co-authored-by: LRL-ModelCloud <165116337+LRL-ModelCloud@users.noreply.github.com>

* qwen2.5vl: fix bugs when using flash2+bf16 or num_return_sequences>1

* fix

* fix

* fix

* fix

* add tests

* fix test bugs

* fix

* fix failed tests

* fix

* Trigger tests

* [run-slow] beit, detr, dinov2, vit, textnet

* Fix BEiT interpolate_pos_encoding

* Fix DETR test

* Update DINOv2 test

* Fix textnet

* Fix vit

* Fix DPT

* fix data2vec test

* Fix textnet test

* Update interpolation check

* Fix ZoeDepth tests

* Update interpolate embeddings for BEiT

* Apply suggestions from code review

fix gemma2 dtype issue when storing weights in float16 precision

* update env command to log deepspeed version

* suppress deepspeed import logging

* Add reminder to include configs to repro description in bug report.

* make fixup

* [WIP] update import utils for deepspeed

* Change to using is_deepspeed_available() from integrations.

* make fixup

* change order of unmasking of tokens

* library import

* class setup

* test function

* refactor

* add commit message

* test modified

* explict initiliasation of weights + made model smaller

* removed sepete testing file

* fixup

* fixup core

* test attention mask with token types

* tests fixup

* removed PaliGemmaAttentionMaskTest class

---------

Co-authored-by: sambhavnoobcoder <indosambahv@gmail.com>

* pixel input assignment revoked

* double send

* Update src/transformers/models/mllama/modeling_mllama.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

---------

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

Add git lfs to AMD docker image

fix

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

* fix

* fix

* update

---------

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

* Add more rigerous non-slow grad accum tests

* Further nits

* Re-add space

* Readbility

* Use tinystories instead

* Revert transformer diff

* tweak threshs

Update doc about models' TP support

* Adding option to save/reload scaler

* Removing duplicate variable

* Adding save/reload test

* Small fixes on deterministic algorithm call

* Moving LLM test to another file to isolate its environment

* Moving back to old file and using subprocess to run test isolated

* Reverting back accidental change

* Reverting back accidental change

* Fix multi gpu loss sync condition, add doc and test

* rename function and class

* loss should not scale during inference

* fix typo

* Added APOLLO optimizer integration

* fix comment

* Remove redundancy: Modularize low-rank optimizer construction

* Remove redundancy: Remove useless comment

* Fix comment: Add typing

* Fix comment: Rewrite apollo desc

* milti-gpu: fix inputs_embeds + position_embeds

Fixing the following errors in few models:
```
>       hidden_states = inputs_embeds + pos_embeds
E       RuntimeError: Expected all tensors to be on the same device, but found at least two devices, xpu:2 and xpu:3!
```

Fixes: #35762
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* multi-gpu: fix tensor device placements for various models

Fixes: #35762
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* Apply make fix-copies

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

---------

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* Remove cache migration script

* remove dummy move_cache