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

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

* Add a Dockerfile for PyTorch + ROCm based on official AMD released artifact

* Add a new artifact single-amdgpu testing on main

* Attempt to test the workflow without merging.

* Changed BERT to check if things are triggered

* Meet the dependencies graph on workflow

* Revert BERT changes

* Add check_runners_amdgpu to correctly mount and check availability

* Rename setup to setup_gpu for CUDA and add setup_amdgpu for AMD

* Fix all the needs.setup -> needs.setup_[gpu|amdgpu] dependencies

* Fix setup dependency graph to use check_runner_amdgpu

* Let's do the runner status check only on AMDGPU target

* Update the Dockerfile.amd to put ourselves in / rather than /var/lib

* Restore the whole setup for CUDA too.

* Let's redisable them

* Change BERT to trigger tests

* Restore BERT

* Add torchaudio with rocm 5.6 to AMD Dockerfile (#26050)

fix dockerfile
Co-authored-by: Felix Marty <felix@hf.co>

* Place AMD GPU tests in a separate workflow (correct branch) (#26105)

AMDGPU CI lives in an other workflow

* Fix invalid job name is dependencies.

* Remove tests multi-amdgpu for now.

* Use single-amdgpu

* Use --net=host for now.

* Remote host networking.

* Removed duplicated check_runners_amdgpu step

* Let's tag machine-types with mi210 for now.

* Machine type should be only mi210

* Remove unnecessary push.branches item

* Apply review suggestions moving from `x-amdgpu` to `x-gpu` introducing `amd-gpu` and `miXXX` labels.

* Remove amdgpu from step names.

* finalize

* delete

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Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add correct installation of GPTQ library

* update tests values

* a draft version

* v2 integration

* fix

* make it more generic and works for IA3

* add set adapter and multiple adapters support

* fixup

* adapt a bit

* oops

* oops

* oops

* adapt more

* fix

* add more refactor

* now works with model class

* change it to instance method as it causes issues with `jit`.

* add CR

* change method name

* add `add_adapter` method

* clean up

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add moe utils

* fixup

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adapt

* oops

* fixup

* add is_peft_available

* remove `requires_backend`

* trainer compatibility

* fixup + docstring

* more details

* trigger CI

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users...

* fix failing 8bit test

* trigger CI

* GTPQ integration

* Add tests for gptq

* support for more quantization model

* fix style

* typo

* fix method

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add dataclass and fix quantization_method

* fix doc

* Update tests/quantization/gptq/test_gptq.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* modify dataclass

* add gtpqconfig import

* fix typo

* fix tests

* remove dataset as req arg

* remove tokenizer import

* add offload cpu quantization test

* fix check dataset

* modify dockerfile

* protect trainer

* style

* test for config

* add more log

* overwrite torch_dtype

* draft doc

* modify quantization_config docstring

* fix class name in docstring

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

* more warning

* fix 8bit kwargs tests

* peft compatibility

* remove var

* fix is_gptq_quantized

* remove is_gptq_quantized

* fix wrap

* Update src/transformers/modeling_utils.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add exllama

* skip test

* overwrite float16

* style

* fix skip test

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix docsting formatting

* add doc

* better test

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

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

Revert "Unpin protobuf in docker file (for daily CI) (#24761)"

This reverts commit 45025d92.

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

* Limit Pydantic to V1 in dependencies

Pydantic is about to release V2 release which will break a lot of things. This change prevents `transformers` to be used with Pydantic V2 to avoid breaking things.

* more

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

* fix

* fix

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byebye

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

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

* fix

* fix

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

* fix

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

* fix

* fix

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

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

* unpin tf prob

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

* pong TF prob

* fix

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

* fix mess

* better documentation

* typo

* fix doc

* update

* add test

* fix test

* more tests

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* move to utils

* Apply suggestions from code review
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* nit

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

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

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

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

* Enable Nightly + Past CI

* put schedule

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

* update docker files to use official torch 2.0.0

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

Revert "Use `dash==2.8.1` for now for daily CI (#22227)"

This reverts commit 53218671.

Use dash 2.8.1 for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Deal with torch-tensorrt

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

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

* Use PyAV instead of Decord

* Get frame indices

* Fix number of frames

* Update src/transformers/models/videomae/image_processing_videomae.py

* Fix up

* Fix copies

* Update timesformer doctests

* Update docstrings

Use torch 1.13.1 in push/scheduled CI
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix docker image build issue

* remove comment

* Add comment

* Update docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

Recompile apex in DeepSpeed CI image
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

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

Uninstall torch_tensorrt for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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