- 13 May, 2024 5 commits
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Fanli Lin authored
* check model.device * fix * style fix * move model device * remove print * add comment * fix * add unit test * optimize * change test names and add more cases * Update tests/pipelines/test_pipelines_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
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Poedator authored
* 4d mask fixes * Update custom 4D mask logic * test moved to mixin * extra tests 4d mask * upd 4d mask and StaticCache handling * added Mask4DTestHard to mistral tests * post-rebase fixes * test fixes for StaticCache * make fix-copies * upd 1 after #30476 * fix common tests * rm elif attention_mask.dim() == 4: * tests combined, fixed, mixtral supported * bigbird style chg reverted * rm if attention_mask.dim() == 2 * modeling_llama formatting chg --------- Co-authored-by:Joao Gante <joao@huggingface.co>
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Nilabhra Roy Chowdhury authored
* remove unrelated changes * remove unrelated changes on phi and stable LM * add: Test for Falcon 10B * fix: formatting * fix: loading the falcon 10B in 8 bit precision using bitsanbytes. * fix: device placement * fix: broken tests. * fix: backwards compatibility for falcon 1B architecture. * chore: updated test. * chore: test_modeling_falcon.py to use the 11B model. * chore: minor edit * chore: formating. --------- Co-authored-by:
Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com>
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Zafir Stojanovski authored
* blip with interpolated pos encoding * feat: Add interpolate_pos_encoding option to other models from `BLIP` family. * include check for textual generated content in tests
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Marc Sun authored
* fix awq test * style * add log * new fix * style * only modifying impacted model in the end * rename function
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- 09 May, 2024 6 commits
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Joao Gante authored
* tmp commit * [test_all] mvp * missing not * [test_all] final test fixes * fix musicgen_melody and rag * [test_all] empty commit * PR comments * Update src/transformers/generation/utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> --------- Co-authored-by:
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Jacky Lee authored
* feat: add note about owlv2 * fix: post processing coordinates * remove: workaround document * fix: extra quotes * update: owlv2 docstrings * fix: copies check * feat: add unit test for resize * Update tests/models/owlv2/test_image_processor_owlv2.py Co-authored-by:
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Joao Gante authored
* min_p * more relaxed test to avoid numerical issues * Update src/transformers/generation/logits_process.py Co-authored-by:
menhguin <minh1228@gmail.com> * Update src/transformers/generation/configuration_utils.py Co-authored-by:
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Lysandre Debut authored
* [test_all] Remove all imports Remove remaining ARCHIVE MAPS Remove remaining PRETRAINED maps * review comments * [test_all] empty commit to trigger tests
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Jacky Lee authored
* feat: enable dynamic resolution for vivit * fix: formatting * remove: print statement for testing * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by:
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David Xue authored
* Add interpolate positional encoding to siglip * Change # of patches for siglip interpolation test * fix formatting * Apply nit suggestions from code review Co-authored-by:
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- 08 May, 2024 2 commits
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Joao Gante authored
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Anton Vlasjuk authored
* immutability fix for seq2seq as well as immutability tests for the collators * ensure we don't act on none labels and formatting * remove tf/pt in respective tests as they are not required * more type error fixes tf/np * remove todo * apply suggestions from code review * formatting / style
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- 07 May, 2024 4 commits
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David Xue authored
* add safetensors to model not found error for default use_safetensors=None case * format code w/ ruff * fix assert true typo
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Aymeric Roucher authored
* Create CodeAgent and ReactAgent * Fix formatting errors * Update documentation for agents * Add custom errors, improve logging * Support variable usage in ReactAgent * add messages * Add message passing format * Create React Code Agent * Update * Refactoring * Fix errors * Improve python interpreter * Only non-tensor inputs should be sent to device * Calculator tool slight refactor * Improve docstrings * Refactor * Fix tests * Fix more tests * Fix even more tests * Fix tests by replacing output and input types * Fix operand type issue * two small fixes * EM TTS * Fix agent running type errors * Change text to speech tests to allow changed outputs * Update doc with new agent types * Improve code interpreter * If max iterations reached, provide a real answer instead of an error * Add edge case in interpreter * Add safe imports to the interpreter * Interpreter tweaks: tuples and listcomp * Make style * Make quality * Add dictcomp to interpreter * Rename ReactJSONAgent to ReactJsonAgent * Misc changes * ToolCollection * Rename agent's logger to self.logger * Add while loops to interpreter * Update doc with new tools. still need to mention collections * Add collections to the doc * Small fixes on logs and interpretor * Fix toolbox return type * Docs + fixup * Skip doctests * Correct prompts with improved examples and formatting * Update prompt * Remove outdated docs * Change agent to accept Toolbox object for tools * Remove calculator tool * Propagate removal of calculator in doc * Fix 2 failing workflows * Simplify additional argument passing * AgentType audio * Minor changes: function name, types * Remove calculator tests * Fix test * Fix torch requirement * Fix final answer tests * Style fixes * Fix tests * Update docstrings with calculator removal * Small type hint fixes * Update tests/agents/test_translation.py Co-authored-by:
Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by:
Lysandre <lysandre@huggingface.co> Co-authored-by:
Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by:
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Kamil Akesbi authored
* force chunk_length_s in AutomaticSpeechRecognitionPipeline * compute num_frames even when stride is None * add slow tests * fix test * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
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JB (Don) authored
* Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True * Testing for the non-safe-tensors case, since the default is safe-tensors already * Running fixup/fix-copies * Adding accelerate annotations to tests
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- 06 May, 2024 4 commits
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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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Younes Belkada authored
Update test_hqq.py
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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 4 commits
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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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Jonghwan Hyeon authored
* Output `None` as attention when layer is skipped * Add test for output_attentions
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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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- 01 May, 2024 3 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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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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Raushan Turganbay authored
use text config's vocab size
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- 30 Apr, 2024 5 commits
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Yih-Dar authored
* fix * add test --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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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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- 26 Apr, 2024 6 commits
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Eduardo Pacheco authored
* Fixed SegGptImageProcessor to handle 2D and 3D prompt mask inputs * Added new test to check prompt mask equivalence * New proposal * Better proposal * Removed unnecessary method * Updated seggpt docs * Introduced do_convert_rgb * nits
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amyeroberts authored
* Decode b64encode and encodebytes strings * Remove conditional encode -- image is always a string
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Clarify pretrained import * Use load_backbone instead * Add backbone_kwargs to config * Fix up * Add tests * Tidy up * Enable instantiating model with pretrained backbone weights * Update tests so backbone checkpoint isn't passed in * Clarify pretrained import * Update configs - docs and validation check * Update src/transformers/utils/backbone_utils.py Co-authored-by:
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JB (Don) authored
* Adding SDPA support for BERT * Using the proper input name for testing model input in inference() * Adding documentation for SDPA in BERT model page * Use the stable link for the documentation * Adding a gate to only call .contiguous() for torch < 2.2.0 * Additions and fixes to the documentation * Minor updates to documentation * Adding extra requirements needed for the contiguous() bug * Adding "Adapted from" in plcae of the "Copied from" * Add benchmark speedup tables to the documentation * Minor fixes to the documentation * Use ClapText as a replacemenet for Bert in the Copied-From * Some more fixes for the fix-copies references * Overriding the test_eager_matches_sdpa_generate in bert tests to not load with low_cpu_mem_usage [test all] * Undo changes to separate test * Refactored SDPA self attention code for KV projections * Change use_sdpa to attn_implementation * Fix test_sdpa_can_dispatch_on_flash by preparing input (required for MultipleChoice models)
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Matt authored
Use the Keras set_random_seed to ensure reproducible weight initialization
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Michael Goin authored
* Update modeling_utils/dtype_byte_size to handle float8 types * Add a test for dtype_byte_size * Format * Fix bool
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- 25 Apr, 2024 1 commit
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Raushan Turganbay authored
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