- 15 Mar, 2022 1 commit
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Francesco Saverio Zuppichini authored
* encoder works * addded files * norm in stage * convertion script * tests * fix copies * make fix-copies * fixed __init__ * make fix-copies * fix * shapiro test needed * make fix-copie * minor changes * make style + quality * minor refactor conversion script * rebase + tests * removed unused variables * updated doc * toctree * CI * doc * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolved conversations * make fixup * config passed to modules * config passed to modules * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversations * conversations * copyrights * normal test * tests Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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- 14 Mar, 2022 4 commits
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Francesco Saverio Zuppichini authored
* first commit * ResNet model correctly implemented. basic modeling + weights conversion is done removed unused doc mdx file doc and conversion script added feature_extractor to auto test minor changes + style + quality doc test Delete process.yml A left over from my attempt of running circleci locally * minor changes * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * new test format * minor changes from conversations * minor changes from conversations * make style + quality * readded the tests * test + README * minor changes from conversations * error in README * make fix-copies * removed regression for classification head * make quality * fixed loss control flow * fixed loss control flow * resolved conversations * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * READMEs * index.mdx * minor changes * updated tests and models * unused import * outputs * Update docs/source/model_doc/resnet.mdx Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added embeddings_size * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversation * added push to hub * test * embedding_size * make fix-copies * resolved conversations * CI * changed organization * minor changes * CI * minor changes * conversations * conversation * doc * tests * removed unused docstring * conversation * removed unused outputs * CI Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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Yih-Dar authored
* Make TF pt-tf equivalence test more aggressive * Fix for TFConvNextModelTest and TFTransfoXLModelTest * fix kwargs for outputs * clean-up * Add docstring for check_outputs() * remove: need to rename encoder-decoder * clean-up * send PyTorch things to the correct device * Add back the accidentally removed test case in test_pt_tf_model_equivalence() * Fix: change to tuple before calling check_outputs() * Fix: tfo could be a list * use to_tuple() * allow tfo only to be tuple or tensor * allow tfo to be list or tuple for now + style change * minor fix * remove np.copy and update comments * tfo -> tf_output, same for pt * Add more detailed comment * remove the incorrect comment Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Sanchit Gandhi authored
Fix Loading of Flax(Speech)EncoderDecoderModel kwargs from PreTrained Encoder-Decoder Checkpoints (#16056) * Fix Loading of Flax(Speech)EncoderDecoderModel kwargs from PreTrained Encoder-Decoder Checkpoints * change wording
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lewtun authored
* Make Camembert great again! * Add Camembert to TensorFlow ONNX tests
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- 12 Mar, 2022 1 commit
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Stas Bekman authored
* [WIP] add support for bf16 mode * prep for bf16 * prep for bf16 * fix; zero2/bf16 is ok * check bf16 is available * test fixes * enable zero3_bf16 * config files * docs * split stage_dtype; merge back to non-dtype-specific config file * fix doc * cleanup * cleanup * bfloat16 => bf16 to match the PR changes * s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/ * test fixes/skipping * move * fix * Update docs/source/main_classes/deepspeed.mdx Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * backticks * cleanup * cleanup * cleanup * new version * add note about grad accum in bf16 Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 11 Mar, 2022 2 commits
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Kevin Bondzio authored
* add possibility to softly regulate length when using sampling method in model.generate() function * fix test config, fix formatting * fix rag integration, fix docstyling * fix wrong docstring * change param to tuple, add test * fix old param in rag_model, remove unused import * change test according to new param * fix formatting * fix test case * fix doc style * move start_length calculation to Logitprocessor * add possibility to softly regulate length when using sampling method in model.generate() function * fix rag integration, fix docstyling * fix test config, fix formatting * change param to tuple, add test * fix old param in rag_model, remove unused import * add possibility to softly regulate length when using sampling method in model.generate() function * change param to tuple, add test * fix old param in rag_model, remove unused import * remove unused import * fix small errors * fix test * add possibility to softly regulate length when using sampling method in model.generate() function * fix test config, fix formatting * fix rag integration, fix docstyling * change param to tuple, add test * fix old param in rag_model, remove unused import * change test according to new param * fix test case * move start_length calculation to Logitprocessor * add possibility to softly regulate length when using sampling method in model.generate() function * fix rag integration, fix docstyling * fix test config, fix formatting * change param to tuple, add test * fix old param in rag_model, remove unused import * add possibility to softly regulate length when using sampling method in model.generate() function * fix test config, fix formatting * fix rag integration, fix docstyling * add possibility to softly regulate length when using sampling method in model.generate() function * fix rag integration, fix docstyling * change param to tuple, add test * fix old param in rag_model, remove unused import * fix small errors * Update src/transformers/generation_utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/generation_utils.py * Update src/transformers/generation_utils.py * fix docstring, add type ind model rag * fix docstrings * introduce seq_length variable for cleaner code * fix black formatting * add input_ids_seq_length to modeling_rag * add input_ids_seq_length to test * retrigger checks * retrigger checks Co-authored-by:
Kevin Bondzio <kev@AIM-LAP-02.local> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Kevin Bondzio <kev@AIM-LAP-02.fritz.box>
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Yih-Dar authored
* fix name Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 10 Mar, 2022 6 commits
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lewtun authored
* Fix duplicate arguments passed to dummy inputs in ONNX export * Fix M2M100 ONNX config * Ensure we check PreTrained model only if torch is available * Remove TensorFlow tests for models without PyTorch parity
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Suraj Patil authored
* support not sharing embeddings * update modeling * update tokenizer * fix conversion script * always use self.shared * boom boom * begin tests * update tests * fix resize_decoder_token_embeddings * address Patrick's comments * style * update conversion script * fix conversion script * fix tokenizer * better name target vocab * add integration test for tokenizer with two vocabs * style * address Patrick's comments * add integration test for model
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Sanchit Gandhi authored
* Fix Bug in Flax-Speech-Encoder-Decoder Test * change thresholds for CPU precision
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NielsRogge authored
* Add attentions_option to common tester * Fix tests, apply suggestion * Apply suggestion from code review Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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NielsRogge authored
* Add conversion script * Improve script * Fix bug * Add option to push to hub * Add support for classification models * Update model name * Upload feature extractor files first * Remove hash checking * Fix config * Add id2label * Add import * Fix id2label file name * Fix expected shape * Add model to README * Improve docs * Add integration test and fix CI * Fix code style * Add missing init * Add model to SPECIAL_MODULE_TO_TEST_MAP Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Sanchit Gandhi authored
* Freeze Feature Encoder in FlaxSpeechEncoderDecoder * add backprop test
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- 09 Mar, 2022 6 commits
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Sanchit Gandhi authored
* add causal lm * add CausalLM tests * Add FlaxBartForCausalLM * Add EncoderDecoder model tests * change docstring * make repo-consistency * suggested changes * remove jax ops * correction * rename pre-trained decoder model
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lewtun authored
* Add ONNX support for ViT * Refactor to use generic preprocessor * Add vision dep to tests * Extend ONNX slow tests to ViT * Add dummy image generator * Use model_type to determine modality * Add deprecation warnings for tokenizer argument * Add warning when overwriting the preprocessor * Add optional args to docstrings * Add minimum PyTorch version to OnnxConfig * Refactor OnnxConfig class variables from CONSTANT_NAME to snake_case * Add reasonable value for default atol Co-authored-by:Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Yih-Dar authored
* Use tiny model for TFRembertEncoderDecoderModelTest.get_pretrained_model() Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Francesco Saverio Zuppichini authored
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Yih-Dar authored
* removed an outdated check about hdf5_version Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Nicolas Patry authored
* Adding ForInstanceSegmentation to pipelines. * Last fix `category_id` renamed to `label_id`. * Can't be none no more. * No `is_thing_map` anymore.
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- 08 Mar, 2022 5 commits
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David Hall authored
* Seed get_train_sampler's generator with arg seed to improve reproducibility and make the world_size<=1 code path more similar to the others * move test file into trainer test explicitly * dumb typo * make style lint happy * per discussion, switch to data_seed * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Joao Gante authored
* Remove packed past from generation_tf_utils * update models with the new past format * update template accordingly
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Yih-Dar authored
* fix device Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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NielsRogge authored
* Fix test across both cpu and gpu * Fix typo
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NielsRogge authored
* Fix LayoutLMv2 test * Update black
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- 07 Mar, 2022 3 commits
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Yih-Dar authored
* set scale_embedding to False to avoid large (> 1e-5) output differences between PT/TF Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Sanchit Gandhi authored
* Backprop Test for Freeze FlaxWav2Vec2 Feature Encoder * remove jnp.ndarray type suggestion * assert frozen grads are precisely zero
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Chan Woo Kim authored
[Bug Fix] Beam search example in docs fails & a fix (integrating `max_length` in `BeamScorer.finalize()`) (#15555) * added the test and fix * had left out a comment
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- 04 Mar, 2022 7 commits
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Francesco Saverio Zuppichini authored
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Chan Woo Kim authored
* added classes to get started with constrained beam search * in progress, think i can directly force tokens now but not yet with the round robin * think now i have total control, now need to code the bank selection * technically works as desired, need to optimize and fix design choices leading to undersirable outputs * complete PR #1 without disjunctive decoding * removed incorrect tests * Delete k.txt * Delete test.py * Delete test.sh * revert changes to test scripts * genutils * full implementation with testing, no disjunctive yet * shifted docs * passing all tests realistically ran locally * removing accidentally included print statements * fixed source of error in initial PR test * fixing the get_device() vs device trap * fixed documentation docstrings about constrained_beam_search * fixed tests having failing for Speech2TextModel's floating point inputs * fix cuda long tensor * added examples and testing for them and founx & fixed a bug in beam_search and constrained_beam_search * deleted accidentally added test halting code with assert False * code reformat * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py * fixing based on comments on PR * took out the testing code that should but work fails without the beam search moditification ; style changes * fixing comments issues * docstrings for ConstraintListState * typo in PhrsalConstraint docstring * docstrings improvements * finished adding what is sort of an opinionated implementation of disjunctive generation, but it revealed errors in inner beam search logic during testing. * fixed bug found in constrained beam search that used beam_idx that were not global across all the batches * disjunctive constraint working 100% correctly * passing all tests * Accidentally included mlruns * Update src/transformers/generation_beam_constraints.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/generation_beam_constraints.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * complete overhaul of type complexities and other nits * strict type checks in generate() * fixing second round of feedback by narsil * fixed failing generation test because of type check overhaul * generation test fail fix * fixing test fails Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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Francesco Saverio Zuppichini authored
* proper tests for post_process*** methods in feature extractor * mask th == 0 * Update tests/maskformer/test_feature_extraction_maskformer.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make style Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Javier de la Rosa authored
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Remove test on large Flask XLM-RoBERTa * Add tokenizer to the test Co-authored-by:
Suraj Patil <surajp815@gmail.com>
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Nicolas Patry authored
Linked to https://github.com/huggingface/transformers/pull/15826
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ParkSangJun authored
* Fix to support fast tokenizer with `CLIPProcessor` * Update CLIPProcessor test for fast tokenizer * Fix Docstring Style * Rename into meaningful Variable name in test code
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Nicolas Patry authored
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- 03 Mar, 2022 5 commits
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Francesco Saverio Zuppichini authored
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Sylvain Gugger authored
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Nicolas Patry authored
* Enabling MaskFormer in ppipelines No AutoModel though :( * Ooops local file.
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Patrick von Platen authored
* finish speech doc tests * finish * boom * Update src/transformers/models/speech_to_text/modeling_speech_to_text.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Nicolas Patry authored
in the scoring (which is more correct)
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