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- 06 May, 2024 6 commits
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Lucain authored
* Deprecate resume_download * remove default resume_download value --------- Co-authored-by:Lysandre Debut <hi@lysand.re>
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Nate Cibik authored
* Added cache clearing for GPU efficiency. * Added cache clearing for GPU efficiency. * Added batch_eval_metrics capability * Ran make fixup * Fixed bug * Fixed whitespace issue * Fixed outdated condition * Updated docstrings with instructions for batch_eval_metrics. Updated end of dataloader logic * Added first version of batch_eval_metrics Trainer test * Fixed batch_eval_metrics Trainer tests for both eval and predict * Fixed batch_eval_metrics behavior for new Trainer variables * Fixed batch_eval_metrics Trainer tests * Ran fixup
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Clara Pohland authored
* Trainer: load checkpoint model with multiple adapters * Trainer._load_from_checkpoint support multiple active adapters * PeftModel.set_adapter does not support multiple adapters yet * Trainer._load_from_checkpoint test multiple adapters --------- Co-authored-by:Clara Luise Pohland <clara-luise.pohland@telekom.de>
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Marc Sun authored
* fix llava next embedding * add docstring * Update src/transformers/models/llava_next/configuration_llava_next.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> --------- Co-authored-by:
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jiaqianjing authored
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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:
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- 03 May, 2024 4 commits
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Yen Ting authored
Prevent `TextGenerationPipeline._sanitize_parameters` from overriding previously provided parameters (#30362) * Fixed TextGenerationPipeline._sanitize_parameters default params * removed empty spaces --------- Co-authored-by:Ng, Yen Ting <yen.ting.ng@intel.com>
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Younes Belkada authored
Update quantizer_hqq.py
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Pavel Iakubovskii authored
* Remove comparison to output_dir * Update docs for `run_name` * Add warning
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Mayank Mishra authored
* add bias * fix quality
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- 02 May, 2024 13 commits
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Raushan Turganbay authored
* Fix CI after #30410 * [run-slow] blenderbot
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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:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * axis value check in quantization_config * format * dynamic config explanation * quant config method in quantization.md * remove shard-level progress * .cuda fix modeling_utils * test_hqq fixes * make fix-copies --------- Co-authored-by:
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Jonghwan Hyeon authored
* Output `None` as attention when layer is skipped * Add test for output_attentions
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Michael Benayoun authored
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Joao Gante authored
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Joao Gante authored
* add missing docstrings to docs * Update src/transformers/generation/stopping_criteria.py Co-authored-by:
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Joao Gante authored
* does this work? * like this? * fix the other generate links * missing these
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Yih-Dar authored
* fix * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Zhan Lu authored
* fix:missing `output_router_logits` in SwitchTransformers * fix whitespace in blank line
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amyeroberts authored
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Richard Brown authored
* Update image_processing_vitmatte.py * add test * [run-slow]vitmatte
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Michael Benayoun authored
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Raushan Turganbay authored
* failiing CI * no let's keep it intil full deprecation in v4.42
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- 01 May, 2024 6 commits
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Fraser Mince authored
* Ensure input_embeds and image_features are the same dtype in autocast * Fix nans in half precision llava-next and fix autocasting behavior. * Fix styling issues. * fix randn newline instantiation * fix broken slow llava test * Fix llava next init. * fix styling issues * [run-slow]llava,llava_next * fix styling issues
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Joao Gante authored
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Pedro Cuenca authored
* Gemma: only display act. warning when necessary This is a nit PR, but I was confused. I got the warning even after I had changed `hidden_act` to `gelu_pytorch_tanh`, telling me that I was using the "legacy" `gelu_pytorch_tanh`. Another option is to keep the warning but change the message to say something like "`hidden_act` is ignored, please use `hidden_activation` instead. Setting Gemma's activation function to `gelu_pytorch_tanh`". * Change message, and set `config.hidden_activation`
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Matt authored
* Temporarily silence warnings in apply_chat_template until we can properly deprecate default chat templates * make fixup * Move the default chat template warning into apply_chat_template itself * make fixup
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Raushan Turganbay authored
* fix marian model coversion * uncomment that line * remove unnecessary code * revert tie_weights, doesn't hurt
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Raushan Turganbay authored
* move scaling to nn.Module * let the test be here for now (need to fix) * failing tests * last failing models * Revert commit 4c14817f38 * clean-up * oops forgot * codestyle * raise NotImplemented when possible * Update tests/test_modeling_common.py Co-authored-by:
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- 30 Apr, 2024 9 commits
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Yih-Dar authored
* fix * add test --------- Co-authored-by: -
Raushan Turganbay authored
* fix doctest * fix torch doctest * make CI happy * raise error * make fixup
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DarshanDeshpande authored
* added chat templating support for keydataset in generation pipeline * fixed and improved test * fix formatting test failures * Fix tests * Fix tests
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Jiarui Xu authored
* add_blip_get_multimodal_feautres * Fix docstring error * reimplement get_multimodal_features * fix error * recheck code quality * add new necessary tests
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Anton Vlasjuk authored
* fix seq2seq data collator to respect the given padding strategy further added tests for the seq2seq data collator in the style of the `data_collator_for_token_classification` (pt, tf, np) * formatting and change bool equals "==" to "is" * add missed return types in tests * update numpy test as it can handle unequal shapes, not like pt or tf
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Joao Gante authored
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Joao Gante authored
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Jacky Lee authored
* feat: support for dinov2 * feat: support for depth_anything * feat: support for efficientformer * feat: support for bert (is this right?) * update: embedding split * remove: empty string * feat: support for align * fix: copies * fix: QAQBertEmbeddings * fix: more consistency issues * revert: support for effientformer * feat: support for altclip * feat: support for blip_text * support for ChineseCLIP * feat: support for depth anything * feat: support for dpt * feat: support for dpt * feat: support for git * feat: support for groupvit * update: format * fix: support for clip * fix: consistency * feat: support for pvt * feat: support for vit_msn * fix: consistency * fix: other copies * remove: device transfer * revert: in-place add * update: support for align * update: support for bert * update: support for Chinese CLIP * revert: changes to efficientformer * update: support for dpt * update: support for efficientformer * revert: changes to git * revert: changes to groupvit * revert: changes to roc_bert * update: support for vit_msn * revert: changes to dpt * remove: extra space * style: extra space
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Raushan Turganbay authored
pass use_cache in kwargs
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- 29 Apr, 2024 2 commits
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Zach Mueller authored
* Include safetensors * Cleanup
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Benjamin Warner authored
* Reenable SDPA's FA2 during training with torch.compile * fix Olmo's SDPA FA2 dispatching too * update formatting * improved SDPA comment * formatting and explanatory comment * is_causal if statement to one-liner
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