- 12 Apr, 2021 2 commits
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Philipp Schmid authored
* increased train_runtime for model parallelism * added documentation for framework upgrade
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NielsRogge authored
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes
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- 09 Apr, 2021 4 commits
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Sylvain Gugger authored
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Philipp Schmid authored
* added json dump and extraction of train run time * make style happy
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Kevin Canwen Xu authored
* Add a special tokenizer for CPM model * make style * fix * Add docs * styles * cpm doc * fix ci * fix the overview * add test * make style * typo * Custom tokenizer flag * Add REAMDE.md Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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Sylvain Gugger authored
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- 08 Apr, 2021 6 commits
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Sylvain Gugger authored
* Add support for multiple models for one config in auto classes * Use get_values everywhere * Prettier doc
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Stas Bekman authored
* relocate core integration tests * add sys.path context manager * cleanup * try * try2 * fix path * doc * style * add dep * add 2 more deps
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Andrea Cappelli authored
* Add mlm collator pad to multiple option (#10627) * Use padding to 8x in run mlm (#10627)
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Philipp Schmid authored
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Julien Demouth authored
* Add support for NVIDIA Megatron models * Add support for NVIDIA Megatron GPT2 and BERT Add the megatron_gpt2 model. That model reuses the existing GPT2 model. This commit includes a script to convert a Megatron-GPT2 checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. Add the megatron_bert model. That model is implemented as a modification of the existing BERT model in Transformers. This commit includes a script to convert a Megatron-BERT checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/megatron_gpt2.rst Co-authored-by:
Julien Demouth <jdemouth@nvidia.com> Co-authored-by:
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Stas Bekman authored
* synced gpus * fix * fix * need to use t5-small for quality tests * notes * complete merge * fix a disappearing std stream problem * start zero3 tests * wip * tune params * sorting out the pre-trained model loading * reworking generate loop wip * wip * style * fix tests * split the tests * refactor tests * wip * parameterized * fix * workout the resume from non-ds checkpoint pass + test * cleanup * remove no longer needed code * split getter/setter functions * complete the docs * suggestions * gpus and their compute capabilities link * Apply suggestions from code review Co-authored-by:
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- 07 Apr, 2021 3 commits
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Stas Bekman authored
* handle version requirement ranges * add mixed requirement test * cleanup
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Vasudev Gupta authored
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Stas Bekman authored
* The 'warn' method is deprecated * fix test
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- 06 Apr, 2021 3 commits
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Sylvain Gugger authored
* AutoFeatureExtractor * Init and first tests * Tests * Damn you gitignore * Quality * Defensive test for when not all backends are here * Use pattern for Speech2Text models
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Suraj Patil authored
* better names * add attention mixin * all slow tests in one class * make helper methods static so we can test * add local attention tests * better names * doc * apply review suggestions
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Philipp Schmid authored
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- 05 Apr, 2021 5 commits
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Sylvain Gugger authored
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Sylvain Gugger authored
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konstin authored
* Replace pkg_resources with importlib_metadata Fixes #10964. The other reason for this change is that pkg_resources has been [deprecated](https://github.com/pypa/setuptools/commit/8fe85c22cee7fde5e6af571b30f864bad156a010 ) in favor of importlib_metadata. * Reduce to a single importlib_metadata import switch * Trigger CI Co-authored-by:
Stas Bekman <stas@stason.org>
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Lysandre Debut authored
* Documentation about loading a fast tokenizer within Transformers * Apply suggestions from code review Co-authored-by:
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Lysandre Debut authored
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- 01 Apr, 2021 2 commits
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cronoik authored
* closes #10258 * typo * reworked deberta test * implemented the comments from BigBird01 regarding sequence pair encoding of deberta * Update style * VOCAB_FILES_NAMES is now a oneliner as suggested by @sgugger Co-authored-by:
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NielsRogge authored
* Squash all commits into one * Update ViTFeatureExtractor to use image_utils instead of torchvision * Remove torchvision and add Pillow * Small docs improvement * Address most comments by @sgugger * Fix tests * Clean up conversion script * Pooler first draft * Fix quality * Improve conversion script * Make style and quality * Make fix-copies * Minor docs improvements * Should use fix-copies instead of manual handling * Revert "Should use fix-copies instead of manual handling" This reverts commit fd4e591bce4496d41406425c82606a8fdaf8a50b. * Place ViT in alphabetical order Co-authored-by:
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- 31 Mar, 2021 4 commits
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Sylvain Gugger authored
* Replace is_sagemaker_distributed_available * Merge SageMakerTrainer into Trainer * Test with shorter condition * Put back deleted line * Deprecate SageMakerTrainer and SageMakerTrainingArguments * Apply suggestions from code review Co-authored-by:
Philipp Schmid <32632186+philschmid@users.noreply.github.com> Co-authored-by:
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Sylvain Gugger authored
* First third * Styling and fix mistake * Quality * All the rest * Treat %s and %d * typo * Missing ) * Apply suggestions from code review Co-authored-by:
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Philipp Schmid authored
* wrong makefile command * ddp test fix
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Patrick von Platen authored
* add first code structures * add all bert models * add to init and docs * correct docs * make style
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- 30 Mar, 2021 6 commits
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Suraj Patil authored
* fix checkpoint names * auto model * fix doc
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Patrick von Platen authored
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Suraj Patil authored
* lets begin * boom boom * fix out proj in attn * fix attention * fix local attention * add tokenizer * fix imports * autotokenizer * fix checkpoint name * cleanup * more clean-up * more cleanup * output attentions * fix attn mask creation * fix imports * config doc * add tests * add slow tests * quality * add conversion script * copyright * typo * another bites the dust * fix attention tests * doc * add embed init in convert function * fix copies * remove tokenizer * enable caching * address review comments * improve config and create attn layer list internally * more consistent naming * init hf config from mesh-tf config json file * remove neo tokenizer from doc * handle attention_mask in local attn layer * attn_layers => attention_layers * add tokenizer_class in config * fix docstring * raise if len of attention_layers is not same as num_layers * remove tokenizer_class from config * more consistent naming * fix doc * fix checkpoint names * fp16 compat * Apply suggestions from code review Co-authored-by:
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Patrick von Platen authored
* save intermediate * finish first version * delete some more * improve import * fix roberta * Update src/transformers/modeling_flax_pytorch_utils.py Co-authored-by:
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Philipp Schmid authored
* init * first working test * added todo for setup.py * working test for single node multi node ddp and smd * added tensorflow single node test * added directory for pytorch and tensorflow due to different requirements.txt * added directory for pytorch and tensorflow * added comment for run_glue until it is available * added output_dir to it * smaller dataset to make test running faster * adjust HP and script * adjusted parameter for tensorflow * refactored test scripts * adjusted make file * init * first working test * added todo for setup.py * working test for single node multi node ddp and smd * added tensorflow single node test * added directory for pytorch and tensorflow due to different requirements.txt * added directory for pytorch and tensorflow * added comment for run_glue until it is available * added output_dir to it * smaller dataset to make test running faster * adjust HP and script * adjusted parameter for tensorflow * refactored test scripts * adjusted make file * updated dlc container * commented in all tests * added both ecr images * added new master branches * debug * added new datasets version * init * strange rebase bug * removed changes * changed min version for tests to work * updated DLC * added model parallel test * removed test files * removed test files * tested with ned dlc * added correct sagemaker sdk version * adjust DLCs for official one * reworked tests * quality * removed default profile added documentation to it * added step in release for sagemaker tests * reverted version for example script removed duplicated script and added install from master to requirements.txt * removed mistaken .DS_Stores from mac * fixed tests * added Sylvains feedback * make style * added lysandre's feedback
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Vasudev Gupta authored
* init bigbird * model.__init__ working, conversion script ready, config updated * add conversion script * BigBirdEmbeddings working :) * slightly update conversion script * BigBirdAttention working :) ; some bug in layer.output.dense * add debugger-notebook * forward() working for BigBirdModel :) ; replaced gelu with gelu_fast * tf code adapted to torch till rand_attn in bigbird_block_sparse_attention ; till now everything working :) * BigBirdModel working in block-sparse attention mode :) * add BigBirdForPreTraining * small fix * add tokenizer for BigBirdModel * fix config & hence modeling * fix base prefix * init testing * init tokenizer test * pos_embed must be absolute, attn_type=original_full when add_cross_attn=True , nsp loss is optional in BigBirdForPreTraining, add assert statements * remove position_embedding_type arg * complete normal tests * add comments to block sparse attention * add attn_probs for sliding & global tokens * create fn for block sparse attn mask creation * add special tests * restore pos embed arg * minor fix * attn probs update * make big bird fully gpu friendly * fix tests * remove pruning * correct tokenzier & minor fixes * update conversion script , remove norm_type * tokenizer-inference test add * remove extra comments * add docs * save intermediate * finish trivia_qa conversion * small update to forward * correct qa and layer * better error message * BigBird QA ready * fix rebased * add triva-qa debugger notebook * qa setup * fixed till embeddings * some issue in q/k/v_layer * fix bug in conversion-script * fixed till self-attn * qa fixed except layer norm * add qa end2end test * fix gradient ckpting ; other qa test * speed-up big bird a bit * hub_id=google * clean up * make quality * speed up einsum with bmm * finish perf improvements for big bird * remove wav2vec2 tok * fix tokenizer * include docs * correct docs * add helper to auto pad block size * make style * remove fast tokenizer for now * fix some * add pad test * finish * fix some bugs * fix another bug * fix buffer tokens * fix comment and merge from master * add comments * make style * commit some suggestions Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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- 26 Mar, 2021 1 commit
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Sylvain Gugger authored
* Add ImageFeatureExtractionMixin * Add dummy vision objects * Add require_vision * Add tests * Fix test
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- 25 Mar, 2021 1 commit
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Amir Tahmasbi authored
* Added embeddings layer * Added layoutlm layers, main model, maskedlm and token classification classes * Added model classes to tf auto models * Added model to PT to TF conversion script * Added model to doc README * Added tests * Removed unused imports * Added layoutlm model, test, and doc for sequence classification, and fix imports in __init__.py * Made tests pass! * Fixed typos in imports and docs * Fixed a typo in embeddings layer * Removed imports * Fixed formatting issues, imports, tests * Added layoutlm layers, main model, maskedlm and token classification classes * Added model classes to tf auto models * Added model to PT to TF conversion script * Removed unused imports * Added layoutlm model, test, and doc for sequence classification, and fix imports in __init__.py * Made tests pass! * Fixed typos in imports and docs * Removed imports * Fixed small formatting issues * Removed duplicates import from main __init__.py * Chnaged deafult arg to true for adding pooling layer to tf layoutlm * Fixed formatting issues * Style * Added copied from to classes copied from bert * Fixed doc strings examples to work with layoutlm inputs * Removed PyTorch reference in doc strings example * Added integration tests * Cleaned up initialization file * Updated model checkpoint identifiers * Fixed imports Co-authored-by:
Amir Tahmasbi <amir@ehsai.ca> Co-authored-by:
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- 23 Mar, 2021 1 commit
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Sylvain Gugger authored
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- 22 Mar, 2021 1 commit
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Patrick von Platen authored
* push * finish * finish * make fix copies * change name
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- 19 Mar, 2021 1 commit
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Th茅o Matussi猫re authored
* fix backend tokenizer args override: key mismatch * no touching the docs * fix mpnet * add mpnet to test * fix test Co-authored-by:theo <theo@matussie.re>
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