- 02 Nov, 2020 3 commits
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Stas Bekman authored
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Santiago Castro authored
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Nicolas Patry authored
* Some work to fix the behaviour of DefaultArgumentHandler by removing it. * Fixing specific pipelines argument checking.
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- 30 Oct, 2020 3 commits
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TFUsers authored
* Replace swish with silu * revert nn.silu to nn.swish due to older version * simplify optimized silu conditional and fix format * Update activations.py * Update activations_tf.py * Update modeling_flax_utils.py * Update modeling_openai.py * add swish testcase * add pytorch swish testcase * Add more robust python version check * more formatting fixes Co-authored-by:TFUsers <TFUsers@gmail.com>
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Sam Shleifer authored
* Start plumbing * Marian close * Small stubs for all children * Fixed bart * marian working * pegasus test is good, but failing * Checkin tests * More model files * Subtle marian, pegasus integration test failures * Works well * rm print * boom boom * Still failing model2doc * merge master * Equivalence test failing, all others fixed * cleanup * Fix embed_scale * Cleanup marian pipeline test * Undo extra changes * Smaller delta * Cleanup model testers * undo delta * fix tests import structure * cross test decorator * Cleaner set_weights * Respect authorized_unexpected_keys * No warnings * No warnings * style * Nest tf import * black * Apply suggestions from code review Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * functional dropout * fixup * Fixup * style_doc * embs * shape list * delete slow force_token_id_to_be_generated func * fixup Co-authored-by:
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Lysandre Debut authored
* Test TF GPU CI * Change cache * Fix missing torch requirement * Fix some model tests Style * LXMERT * MobileBERT * Longformer skip test * XLNet * The rest of the tests * RAG goes OOM in multi gpu setup * YAML test files * Last fixes * Skip doctests * Fill mask tests * Yaml files * Last test fix * Style * Update cache * Change ONNX tests to slow + use tiny model
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- 29 Oct, 2020 2 commits
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Sylvain Gugger authored
* Smarter prediction loop and no- -> no_ in console args * Fix test
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Santiago Castro authored
* Fix doc errors and typos across the board * Fix a typo * Fix the CI * Fix more typos * Fix CI * More fixes * Fix CI * More fixes * More fixes
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- 28 Oct, 2020 1 commit
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Stas Bekman authored
* move the helper code into testing_utils * port test_trainer_distributed to work with pytest * improve docs * simplify notes * doc * doc * style * doc * further improvements * torch might not be available * real fix * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
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- 27 Oct, 2020 3 commits
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Joe Davison authored
* add entailment dim argument * rename dim -> id * fix last name change, style * rm arg, auto-infer only * typo * rm superfluous import
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Harutaka Kawamura authored
* Fix callback_list * Add test Signed-off-by:
harupy <17039389+harupy@users.noreply.github.com> * Fix test Signed-off-by:
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Stas Bekman authored
* better reports * a whole bunch of reports in their own files * clean up * improvements * github artifacts experiment * style * complete the report generator with multiple improvements/fixes * fix * save all reports under one dir to easy upload * can remove temp failing tests * doc fix * some cleanup
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- 26 Oct, 2020 5 commits
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Lysandre Debut authored
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Sylvain Gugger authored
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Sam Shleifer authored
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Sam Shleifer authored
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Thomas Wolf authored
* fixing #8001 * make T5 tokenizer serialization more robust - style
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- 23 Oct, 2020 3 commits
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Anthony MOI authored
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Patrick von Platen authored
* remove reformer pad_token_id * fix pegasus
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Thomas Wolf authored
[tests|tokenizers] Refactoring pipelines test backbone - Small tokenizers improvements - General tests speedups (#7970) * WIP refactoring pipeline tests - switching to fast tokenizers * fix dialog pipeline and fill-mask * refactoring pipeline tests backbone * make large tests slow * fix tests (tf Bart inactive for now) * fix doc... * clean up for merge * fixing tests - remove bart from summarization until there is TF * fix quality and RAG * Add new translation pipeline tests - fix JAX tests * only slow for dialog * Fixing the missing TF-BART imports in modeling_tf_auto * spin out pipeline tests in separate CI job * adding pipeline test to CI YAML * add slow pipeline tests * speed up tf and pt join test to avoid redoing all the standalone pt and tf tests * Update src/transformers/tokenization_utils_base.py Co-authored-by:
Sam Shleifer <sshleifer@gmail.com> * Update src/transformers/pipelines.py Co-authored-by:
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- 22 Oct, 2020 7 commits
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Sylvain Gugger authored
* Only log total_flos at the end of training * Fix test
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Julien Chaumond authored
* FillMaskPipeline: support passing top_k on __call__ Also move from topk to top_k * migrate to new param name in tests * Review from @sgugger
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Sylvain Gugger authored
* Start simplification * More progress * Finished script * Address comments and update tests instructions * Wrong test * Accept files as inputs and fix test * Update src/transformers/trainer_utils.py Co-authored-by:
Julien Chaumond <chaumond@gmail.com> * Fix labels and add combined score * Add special labels * Update TPU command * Revert to old label strategy * Use model labels * Fix for STT-B * Styling * Apply suggestions from code review Co-authored-by:
Thomas Wolf <thomwolf@users.noreply.github.com> * Code styling * Fix review comments Co-authored-by:
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Nicolas Patry authored
* Actually make the "translation", "translation_XX_to_YY" task behave correctly. Background: - Currently "translation_cn_to_ar" does not work. (only 3 pairs are supported) - Some models, contain in their config the correct values for the (src, tgt) pair they can translate. It's usually just one pair, and we can infer it automatically from the `model.config.task_specific_params`. If it's not defined we can still probably load the TranslationPipeline nevertheless. Proposed fix: - A simplified version of what could become more general which is a `parametrized` task. "translation" + (src, tgt) in this instance it what we need in the general case. The way we go about it for now is simply parsing "translation_XX_to_YY". If cases of parametrized task arise we should preferably go in something closer to what `datasets` propose which is having a secondary argument `task_options`? that will be close to what that task requires. - Should be backward compatible in all cases for instance `pipeline(task="translation_en_to_de") should work out of the box. - Should provide a warning when a specific translation pair has been selected on behalf of the user using `model.config.task_specific_params`. * Update src/transformers/pipelines.py Co-authored-by:
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Patrick von Platen authored
* fix config save * add test * add config class variable and another test * line break * fix fsmt and typo * god am I making many errors today :-/ * Update src/transformers/configuration_utils.py Co-authored-by:
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Stas Bekman authored
* basic config test with online model * typo * style * better test
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Stas Bekman authored
* slow tests should be slow * exception note * style * integrate LysandreJik's notes with some expansions * Apply suggestions from code review Co-authored-by:
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- 21 Oct, 2020 5 commits
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Patrick von Platen authored
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Fran莽ois Lagunas authored
Improved TensorBoard and Wandb integration, as well as optuna and ray/tune support, with minor modifications to trainer core code.
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Stas Bekman authored
* make the save_load special key tests common * handle mbart * cleaner solution * fix * move test_save_load_missing_keys back into fstm for now * restore * style * add marian * add pegasus * blenderbot * revert - no static embed
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Sam Shleifer authored
* half done * doc improvement * Cp test file * brokedn * broken test * undo some mess * ckpt * borked * Halfway * 6 passing * boom boom * Much progress but still 6 * boom boom * merged master * 10 passing * boom boom * Style * no t5 changes * 13 passing * Integration test failing, but not gibberish * Frustrated * Merged master * 4 fail * 4 fail * fix return_dict * boom boom * Still only 4 * prepare method * prepare method * before delete classif * Skip tests to avoid adding boilerplate * boom boom * fast tests passing * style * boom boom * Switch to supporting many input types * remove FIXMENORM * working * Fixed past_key_values/decoder_cached_states confusion * new broken test * Fix attention mask kwarg name * undo accidental * Style and reviewers * style * Docs and common tests * Cleaner assert messages * copy docs * style issues * Sphinx fix * Simplify caching logic * test does not require torch * copy _NoLayerEmbedTokens * Update src/transformers/modeling_tf_bart.py Co-authored-by:
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Patrick von Platen authored
* new prophetnet model * correct name * make style
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- 20 Oct, 2020 1 commit
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Stas Bekman authored
* rename skip targets + docs * fix quotes * style * Apply suggestions from code review Co-authored-by:
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- 19 Oct, 2020 7 commits
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Quentin Lhoest authored
* add CustomHFIndex * typo in config * update tests * add custom dataset example * clean script * update test data * minor in test * docs * docs * style * fix imports * allow to pass the indexed dataset directly * update tests * use multiset DPR * address thom and patrick's comments * style * update dpr tokenizer * add output_dir flag in use_own_knowledge_dataset.py * allow custom datasets in examples/rag/finetune.py * add test for custom dataset in distributed rag retriever
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Julien Rossi authored
* fix 5990 * accomodate iterable dataset without predefined length * set it as 1 use case: provide max_steps, and NO num_epochs * Is a merge of master and PR 5995 * fix trainer test under TF * fix only for torch * TF trainer untouched * trainer tests are skipped when no torch * address comments * fix quality checks * remove torch.dataset from test_trainer * unnecessary inheritance * RegressionDataset implements all needed methods __len__ and __getitem__ * fix quality checks * restore RegressionDataset * was wrongly under is_torch_available()
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Weizhen authored
* add new model prophetnet prophetnet modified modify codes as suggested v1 add prophetnet test files * still bugs, because of changed output formats of encoder and decoder * move prophetnet into the latest version * clean integration tests * clean tokenizers * add xlm config to init * correct typo in init * further refactoring * continue refactor * save parallel * add decoder_attention_mask * fix use_cache vs. past_key_values * fix common tests * change decoder output logits * fix xlm tests * make common tests pass * change model architecture * add tokenizer tests * finalize model structure * no weight mapping * correct n-gram stream attention mask as discussed with qweizhen * remove unused import * fix index.rst * fix tests * delete unnecessary code * add fast integration test * rename weights * final weight remapping * save intermediate * Descriptions for Prophetnet Config File * finish all models * finish new model outputs * delete unnecessary files * refactor encoder layer * add dummy docs * code quality * fix tests * add model pages to doctree * further refactor * more refactor, more tests * finish code refactor and tests * remove unnecessary files * further clean up * add docstring template * finish tokenizer doc * finish prophetnet * fix copies * fix typos * fix tf tests * fix fp16 * fix tf test 2nd try * fix code quality * add test for each model * merge new tests to branch * Update model_cards/microsoft/prophetnet-large-uncased-cnndm/README.md Co-authored-by:
weizhen <weizhen@mail.ustc.edu.cn> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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Funtowicz Morgan authored
* WIP flax bert * Initial commit Bert Jax/Flax implementation. * Embeddings working and equivalent to PyTorch. * Move embeddings in its own module BertEmbeddings * Added jax.jit annotation on forward call * BertEncoder on par with PyTorch ! :D * Add BertPooler on par with PyTorch !! * Working Jax+Flax implementation of BertModel with < 1e-5 differences on the last layer. * Fix pooled output to take only the first token of the sequence. * Refactoring to use BertConfig from transformers. * Renamed FXBertModel to FlaxBertModel * Model is now initialized in FlaxBertModel constructor and reused. * WIP JaxPreTrainedModel * Cleaning up the code of FlaxBertModel * Added ability to load Flax model saved through save_pretrained() * Added ability to convert Pytorch Bert model to FlaxBert * FlaxBert can now load every Pytorch Bert model with on-the-fly conversion * Fix hardcoded shape values in conversion scripts. * Improve the way we handle LayerNorm conversion from PyTorch to Flax. * Added positional embeddings as parameter of BertModel with default to np.arange. * Let's roll FlaxRoberta ! * Fix missing position_ids parameters on predict for Bert * Flax backend now supports batched inputs Signed-off-by:
Morgan Funtowicz <morgan@huggingface.co> * Make it possible to load msgpacked model on convert from pytorch in last resort. Signed-off-by:
Stefan Schweter <stefan@schweter.it> * Attempt to make style * Attempt to make style in tests too * Added jax & jaxlib to the flax optional dependencies. * Attempt to fix flake8 warnings ... * Redo black again and again * When black and flake8 fight each other for a space ...
馃挜 馃挜 馃挜 * Try removing trailing comma to make both black and flake happy! * Fix invalid is_<framework>_available call, thanks @LysandreJik馃帀 * Fix another invalid import in flax_roberta test * Bump and pin flax release to 0.1.0. * Make flake8 happy, remove unused jax import * Change the type of the catch for msgpack. * Remove unused import. * Put seed as optional constructor parameter. * trigger ci again * Fix too much parameters in BertAttention. * Formatting. * Simplify Flax unittests to avoid machine crashes. * Fix invalid number of arguments when raising issue for an unknown model. * Address @bastings comment in PR, moving jax.jit decorated outside of __call__ * Fix incorrect path to require_flax/require_pytorch functions. Signed-off-by:Morgan Funtowicz <funtowiczmo@gmail.com> * Attempt to make style. Signed-off-by:
馃幎 Signed-off-by:Marc van Zee <marcvanzee@gmail.com> * Bump flax to it's latest version Co-authored-by:
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Lalit Pagaria authored
* Propagating n_docs as parameter to all RagModel's related functions that defaults to self.config.n_docs * Making n_docs parameter's default value to None in marginalize function * Fixing code quality issues * Handle the special case when generator is of T5PreTrainedModel instance type. T5PreTrainedModel do not have n_docs as parameter * T5PreTrainedModel do not have n_docs as parameter * Addressing review comment Co-authored-by:
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Stas Bekman authored
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Sam Shleifer authored
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