"vscode:/vscode.git/clone" did not exist on "3de6a6b4936229e3b4467dd7de1c24f2fae64528"
- 20 May, 2024 1 commit
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Younes Belkada authored
* Update Dockerfile * Update docker/transformers-quantization-latest-gpu/Dockerfile
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- 16 May, 2024 1 commit
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Younes Belkada authored
Reverting to 2.2.1
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- 15 May, 2024 2 commits
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Yih-Dar authored
2.3 Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Lysandre Debut authored
* Adds support for loading GGUF files Co-authored-by:
Younes Belkada <younesbelkada@gmail.com> Co-authored-by:
99991 <99991@users.noreply.github.com> * add q2_k q3_k q5_k support from @99991 * fix tests * Update doc * Style * Docs * fix CI * Update docs/source/en/gguf.md * Update docs/source/en/gguf.md * Compute merges * change logic * add comment for clarity * add comment for clarity * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * change logic * Update src/transformers/modeling_utils.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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- 13 May, 2024 1 commit
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fxmarty authored
* update to ROCm 6.0.2 and test MI300 * add callers for mi300 * update dockerfile * fix trainer tests * remove apex * style * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * update to torch 2.3 * add workflow dispatch target * we may need branches: mi300-ci after all * nit * fix docker build * nit * add check runner * remove docker-gpu * fix issues * fix --------- Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
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- 07 May, 2024 1 commit
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Zach Mueller authored
pin ds
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- 06 May, 2024 1 commit
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Arthur authored
* change cis * nits * update * minor updates * [push-ci-image] * nit [push-ci-image] * nitsssss * [build-ci-image] * [push-ci-image] * [push-ci-image] * both * [push-ci-image] * this? * [push-ci-image] * pypi-kenlm needs g++ * [push-ci-image] * nit * more nits [push-ci-image] * nits [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * add vision * [push-ci-image] * [push-ci-image] * add new dummy file but will need to update them [push-ci-image] * [push-ci-image] * show package size as well * [push-ci-image] * potentially ignore failures * workflow updates * nits [push-ci-image] * [push-ci-image] * fix consistency * clean nciida triton * also show big packages [push-ci-image] * nit * update * another one * line escape? * add accelerate [push-ci-image] * updates [push-ci-image] * nits to run tests, no push-ci * try to parse skip reason to make sure nothing is skipped that should no be skippped * nit? * always show skipped reasons * nits * better parsing of the test outputs * action="store_true", * failure on failed * show matched * debug * update short summary with skipped, failed and errors * nits * nits * coolu pdates * remove docbuilder * fix * always run checks * oups * nits * don't error out on library printing * non zero exi codes * no warning * nit * WAT? * format nit * [push-ci-image] * fail if fail is needed * [push-ci-image] * sound file for torch light? * [push-ci-image] * order is important [push-ci-image] * [push-ci-image] reduce even further * [push-ci-image] * use pytest rich ! * yes [push-ci-image] * oupsy * bring back the full traceback, but pytest rich should help * nit * [push-ci-image] * re run * nit * [push-ci-image] * [push-ci-image] * [push-ci-image] * empty push to trigger * [push-ci-image] * nit? [push-ci-image] * empty * try to install timm with no deps * [push-ci-image] * oups [push-ci-image] * [push-ci-image] * [push-ci-image] ? * [push-ci-image] open ssh client for git checkout fast * empty for torch light * updates [push-ci-image] * nit * @v4 for checkout * [push-ci-image] * [push-ci-image] * fix fetch tests with parallelism * [push-ci-image] * more parallelism * nit * more nits * empty to re-trigger * empty to re-trigger * split by timing * did not work with previous commit * junit.xml * no path? * mmm this? * junitxml format * split by timing * nit * fix junit family * now we can test if the xunit1 is compatible! * this? * fully list tests * update * update * oups * finally * use classname * remove working directory to make sure the path does not interfere * okay no juni should have the correct path * name split? * sort by classname is what make most sense * some testing * naem * oups * test something fun * autodetect * 18? * nit * file size? * uip * 4 is best * update to see versions * better print * [push-ci-image] * [push-ci-image] * please install the correct keras version * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * uv is fucking me up * [push-ci-image] * [push-ci-image] * [push-ci-image] * nits * [push-ci-image] * [push-ci-image] * install issues an pins * tapas as well * nits * more paralellism * short tb * soundfile * soundfile * [push-ci-image] * [push-ci-image] * [push-ci-image] * oups * [push-ci-image] * fix some things * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * use torch-light for hub * small git lfs for hub job * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * fix tf tapas * [push-ci-image] * nits * [push-ci-image] * don't update the test * [push-ci-image] * [push-ci-image] * [push-ci-image] * no use them * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * update tf proba * [push-ci-image] * [push-ci-image] * woops * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * test with built dockers * [push-ci-image] * skip annoying tests * revert fix copy * update test values * update * last skip and fixup * nit * ALL GOOOD * quality * Update tests/models/layoutlmv2/test_image_processing_layoutlmv2.py * Update docker/quality.dockerfile Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update src/transformers/models/tapas/modeling_tf_tapas.py Co-authored-by:
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- 02 May, 2024 1 commit
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mobicham authored
* 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:
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- 23 Apr, 2024 1 commit
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Younes Belkada authored
Update Dockerfile
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- 22 Apr, 2024 1 commit
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zhong zhuang authored
* [FEAT]: EETQ quantizer support * Update quantization.md * Update docs/source/en/main_classes/quantization.md Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> * Update docs/source/en/quantization.md Co-authored-by:
Marc Sun <marc@huggingface.co> Co-authored-by:
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- 16 Apr, 2024 1 commit
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Yih-Dar authored
* fix * update * update * fix --------- Co-authored-by:
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- 10 Apr, 2024 1 commit
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Yih-Dar authored
* fix dinat in docker * update --------- Co-authored-by:
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- 09 Apr, 2024 1 commit
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Marc Sun authored
* revert back to torch 2.1.1 * run test * switch to torch 2.2.1 * udapte dockerfile * fix awq tests * fix test * run quanto tests * update tests * split quantization tests * fix * fix again * final fix * fix report artifact * build docker again * Revert "build docker again" This reverts commit 399a5f9d9308da071d79034f238c719de0f3532e. * debug * revert * style * new notification system * testing notfication * rebuild docker * fix_prev_ci_results * typo * remove warning * fix typo * fix artifact name * debug * issue fixed * debug again * fix * fix time * test notif with faling test * typo * issues again * final fix ? * run all quantization tests again * remove name to clear space * revert modfiication done on workflow * fix * build docker * build only quant docker * fix quantization ci * fix * fix report * better quantization_matrix * add print * revert to the basic one
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- 26 Mar, 2024 1 commit
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Ilyas Moutawwakil authored
* remove py3nvml to skip amd memory benchmarks * uninstall pynvml from docker images
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- 21 Mar, 2024 1 commit
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Yih-Dar authored
* update * update --------- Co-authored-by:
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- 15 Mar, 2024 1 commit
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Marc Sun authored
* start integration * fix * add and debug tests * update tests * make pytorch serialization works * compatible with device_map and offload * fix tests * make style * add ref * guard against safetensors * add float8 and style * fix is_serializable * Fix shard_checkpoint compatibility with quanto * more tests * docs * adjust memory * better * style * pass tests * Update src/transformers/modeling_utils.py Co-authored-by:
David Corvoysier <david.corvoysier@gmail.com> * better comment * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * pass weights_only_kwarg instead * fix shard_checkpoint loading * simplify update_missing_keys * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
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- 05 Mar, 2024 1 commit
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Ilyas Moutawwakil authored
* added exllama kernels support for awq models * doc * style * Update src/transformers/modeling_utils.py Co-authored-by:
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- 28 Feb, 2024 1 commit
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Marc Sun authored
* [CI] Quantization workflow * build dockerfile * fix dockerfile * update self-cheduled.yml * test build dockerfile on push * fix torch install * udapte to python 3.10 * update aqlm version * uncomment build dockerfile * tests if the scheduler works * fix docker * do not trigger on psuh again * add additional runs * test again * all good * style * Update .github/workflows/self-scheduled.yml Co-authored-by:
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- 27 Feb, 2024 1 commit
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Yih-Dar authored
update Co-authored-by:
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- 23 Feb, 2024 1 commit
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Yih-Dar authored
* Use torch 2.2 for daily CI (model tests) * update * update --------- Co-authored-by:
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- 14 Feb, 2024 1 commit
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Andrei Panferov authored
* aqlm init * calibration and dtypes * docs * Readme update * is_aqlm_available * Simpler link in docs * Test TODO real reference * init _import_structure fix * AqlmConfig autodoc * integration aqlm * integrations in tests * docstring fix * legacy typing * Less typings * More kernels information * Performance -> Accuracy * correct tests * remoced multi-gpu test * Update docs/source/en/quantization.md Co-authored-by:
Andrei Panferov <blacksamorez@yandex-team.ru> Co-authored-by:
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- 11 Jan, 2024 2 commits
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Yih-Dar authored
fix docker file Co-authored-by: -
Yih-Dar authored
update Co-authored-by:
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- 10 Jan, 2024 1 commit
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Joao Gante authored
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- 09 Jan, 2024 1 commit
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Patrick von Platen authored
* [SDPA] Make sure attn mask creation is always done on CPU * Update docker to 2.1.1 * revert test change
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- 25 Dec, 2023 1 commit
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Younes Belkada authored
* v1 * add docstring * add tests * add awq 0.1.8 * oops * fix test
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- 20 Dec, 2023 1 commit
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Abolfazl Shahbazi authored
Signed-off-by:Abolfazl Shahbazi <abolfazl.shahbazi@intel.com>
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- 11 Dec, 2023 1 commit
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Ella Charlaix authored
* add deepspeed scheduled test for amd * fix image * add dockerfile * add comment * enable tests * trigger * remove trigger for this branch * trigger * change runner env to trigger the docker build image test * use new docker image * remove test suffix from docker image tag * replace test docker image with original image * push new image * Trigger * add back amd tests * fix typo * add amd tests back * fix * comment until docker image build scheduled test fix * remove deprecated deepspeed build option * upgrade torch * update docker & make tests pass * Update docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile * fix * tmp disable test * precompile deepspeed to avoid timeout during tests * fix comment * trigger deepspeed tests with new image * comment tests * trigger * add sklearn dependency to fix slow tests * enable back other tests * final update --------- Co-authored-by:
Felix Marty <felix@hf.co> Co-authored-by:
F茅lix Marty <9808326+fxmarty@users.noreply.github.com> Co-authored-by:
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- 05 Dec, 2023 2 commits
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Zach Mueller authored
* Update CUDA versions * For testing * Allow for workflow dispatch * Use newer image * Revert workflow * Revert workflow * Push * Other docker image
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Younes Belkada authored
* v1 fusing modules * add fused mlp support * up * fix CI * block save_pretrained * fixup * small fix * add new condition * add v1 docs * add some comments * style * fix nit * adapt from suggestion * add check * change arg names * change variables name * Update src/transformers/integrations/awq.py Co-authored-by:
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- 21 Nov, 2023 1 commit
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fxmarty authored
* add scheduled ci on amdgpu * fix likely typo * more tests, avoid parallelism * precise comment * fix report channel * trigger docker build on this branch * fix * fix * run rocm scheduled ci * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix --------- Co-authored-by:
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- 13 Nov, 2023 1 commit
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Yih-Dar authored
fix Co-authored-by:
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- 07 Nov, 2023 1 commit
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Younes Belkada authored
* Update Dockerfile * Update docker/transformers-all-latest-gpu/Dockerfile
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- 06 Nov, 2023 1 commit
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Yih-Dar authored
fix Co-authored-by:
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- 01 Nov, 2023 1 commit
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Younes Belkada authored
* working v1 * oops * Update src/transformers/modeling_utils.py Co-authored-by:
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- 11 Oct, 2023 1 commit
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Yih-Dar authored
Update docker files to use torch 2.1 Co-authored-by:
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- 05 Oct, 2023 2 commits
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Yih-Dar authored
Fix Co-authored-by: -
Yih-Dar authored
Fix Co-authored-by:
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- 20 Sep, 2023 1 commit
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Funtowicz Morgan authored
* 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:
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- 24 Aug, 2023 1 commit
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Younes Belkada authored
* add correct installation of GPTQ library * update tests values
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