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https://github.com/huggingface/transformers.git
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63645b3b11
* IBertConfig, IBertTokentizer added * IBert Model names moified * tokenizer bugfix * embedding -> QuantEmbedding * quant utils added * quant_mode added to configuration * QuantAct added, Embedding layer + QuantAct addition * QuantAct added * unused path removed, QKV quantized * self attention layer all quantized, except softmax * temporarl commit * all liner layers quantized * quant_utils bugfix * bugfix: requantization missing * IntGELU added * IntSoftmax added * LayerNorm implemented * LayerNorm implemented all * names changed: roberta->ibert * config not inherit from ROberta * No support for CausalLM * static quantization added, quantize_model.py removed * import modules uncommented * copyrights fixed * minor bugfix * quant_modules, quant_utils merged as one file * import * fixed * unused runfile removed * make style run * configutration.py docstring fixed * refactoring: comments removed, function name fixed * unused dependency removed * typo fixed * comments(Copied from), assertion string added * refactoring: super(..) -> super(), etc. * refactoring * refarctoring * make style * refactoring * cuda -> to(x.device) * weight initialization removed * QuantLinear set_param removed * QuantEmbedding set_param removed * IntLayerNorm set_param removed * assert string added * assertion error message fixed * is_decoder removed * enc-dec arguments/functions removed * Converter removed * quant_modules docstring fixed * conver_slow_tokenizer rolled back * quant_utils docstring fixed * unused aruments e.g. use_cache removed from config * weight initialization condition fixed * x_min, x_max initialized with small values to avoid div-zero exceptions * testing code for ibert * test emb, linear, gelu, softmax added * test ln and act added * style reformatted * force_dequant added * error tests overrided * make style * Style + Docs * force dequant tests added * Fix fast tokenizer in init * Fix doc * Remove space * docstring, IBertConfig, chunk_size * test_modeling_ibert refactoring * quant_modules.py refactoring * e2e integration test added * tokenizers removed * IBertConfig added to tokenizer_auto.py * bugfix * fix docs & test * fix style num 2 * final fixes Co-authored-by: Sehoon Kim <sehoonkim@berkeley.edu> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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| .. | ||
| _static | ||
| imgs | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| add_new_model.rst | ||
| benchmarks.rst | ||
| bertology.rst | ||
| community.md | ||
| conf.py | ||
| contributing.md | ||
| converting_tensorflow_models.rst | ||
| custom_datasets.rst | ||
| examples.md | ||
| favicon.ico | ||
| glossary.rst | ||
| index.rst | ||
| installation.md | ||
| migration.md | ||
| model_sharing.rst | ||
| model_summary.rst | ||
| multilingual.rst | ||
| notebooks.md | ||
| perplexity.rst | ||
| philosophy.rst | ||
| preprocessing.rst | ||
| pretrained_models.rst | ||
| quicktour.rst | ||
| serialization.rst | ||
| task_summary.rst | ||
| testing.rst | ||
| tokenizer_summary.rst | ||
| training.rst | ||