"docs/source/vscode:/vscode.git/clone" did not exist on "2e12b907ae73edd2f3590cefdfa5d11f74aabfac"
- 11 Apr, 2022 6 commits
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Yih-Dar authored
* add error message * Use names in the error message * allow ModelOutput * rename to check_pt_tf_outputs and move outside * fix style * skip past_key_values in a better way * Add comments * improve code for label/loss * make the logic clear by moving the ignore keys out * fix _postprocessing_to_ignore * fix _postprocessing_to_ignore: create new outputs from the remaining fields * ignore past_key_values in TFGPT2 models for now * make check_pt_tf_outputs better regarding names * move check_pt_tf_models outside * rename methods * remove test_pt_tf_model_equivalence in TFCLIPModelTest * Reduce TFViTMAEModelTest.test_pt_tf_model_equivalence * move prepare_pt_inputs_from_tf_inputs outside check_pt_tf_models * Fix quality * Clean-up TFLxmertModelTester.test_pt_tf_model_equivalence * Fix quality * fix * fix style * Clean-up TFLEDModelTest.test_pt_tf_model_equivalence * Fix quality * add docstring * improve comment Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* update _create_and_check_torchscript * Enable test_torchscript * clear_class_registry Co-authored-by: -
Yih-Dar authored
Co-authored-by: -
Yih-Dar authored
Co-authored-by: -
Joao Gante authored
* min length must be smaller than max length * Update min_length in tests
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SaulLu authored
* update proto sentencepiece model * Revert "update proto sentencepiece model" This reverts commit b07f671747fec35773d0b3d4788b8b15aefa0229. * add check * add test * Revert "Revert "update proto sentencepiece model"" This reverts commit 46108257b8927b73627ec8f4f3eed53a95fc700d. * test for log level * test for log level 2 * warning at the warning level * clean * format * add explanation in docstring
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- 08 Apr, 2022 1 commit
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NielsRogge authored
* Add TapexTokenizer * Improve docstrings and provide option to provide answer * Remove option for pretokenized inputs * Add TAPEX to README * Fix copies * Remove option for pretokenized inputs * Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification. * - Draft a README file for running the script and introducing some background. - Remove unused code lines in tabfact script. - Disable the deafult `pad_to_max_length` option which is memory-consuming. * * Support `as_target_tokenizer` function for TapexTokenizer. * Fix the do_lower_case behaviour of TapexTokenizer. * Add unit tests for target scenarios and cased/uncased scenarios for both source and target. * * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function. * Fix typos in tapex example README. * * fix the evaluation script - remove the property `task_name` * * Make the label space more clear for tabfact tasks * * Using a new fine-tuning script for tapex-base on tabfact. * * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case * Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql * * Remove the default tokenizer_name option. * Provide evaluation command. * * Support for WikiTableQuestion dataset. * Fix a typo in README. * * Fix the datasets's key name in WikiTableQuestions * Run make fixup and move test to folder * Fix quality * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions from code review * Improve docstrings * Overwrite failing test * Improve comment in example scripts * Fix rebase * Add TAPEX to Auto mapping * Add TAPEX to auto config mappings * Put TAPEX higher than BART in auto mapping * Add TAPEX to doc tests Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by:
SivilTaram <qianlxc@outlook.com> Co-authored-by:
Niels Rogge <nielsrogge@nielss-mbp.home> Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 07 Apr, 2022 2 commits
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Francesco Saverio Zuppichini authored
* base model done * make style * done * added files * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com>
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Sylvain Gugger authored
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- 06 Apr, 2022 2 commits
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Joao Gante authored
* refactor TF beam search * refactored generate can now properly use attention masks * add force bos/eos logit processors
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Sanchit Gandhi authored
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- 05 Apr, 2022 2 commits
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Matt authored
* Adding new train_step logic to make things less confusing for users * DO NOT ASK WHY WE NEED THAT SUBCLASS * Metrics now working, at least for single-output models with type annotations! * Updates and TODOs for the new train_step * Make fixup * Temporary test workaround until T5 has types * Temporary test workaround until T5 has types * I think this actually works! Needs a lot of tests though * MAke style/quality * Revert changes to T5 tests * Deleting the aforementioned unmentionable subclass * Deleting the aforementioned unmentionable subclass * Adding a Keras API test * Style fixes * Removing unneeded TODO and comments * Update test_step too * Stop trying to compute metrics with the dummy_loss, patch up test * Make style * make fixup * Docstring cleanup * make fixup * make fixup * Stop expanding 1D input tensors when using dummy loss * Adjust T5 test given the new compile() * make fixup * Skipping test for convnext * Removing old T5-specific Keras test now that we have a common one * make fixup * make fixup * Only skip convnext test on CPU * Update src/transformers/modeling_tf_utils.py Co-authored-by:
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Yih-Dar authored
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- 04 Apr, 2022 3 commits
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Joao Gante authored
* Add unpack_inputs to remaining models * removed kwargs to `call()` in TF models * fix TF T5 tests
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SaulLu authored
* add new tests * add comment to overridden tests
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Sylvain Gugger authored
* Add utility to find model labels * Use it in the Trainer * Update src/transformers/utils/generic.py Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Quality Co-authored-by:
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- 01 Apr, 2022 2 commits
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Yih-Dar authored
* use random_attention_mask for TF tests * Fix for TFCLIP test (for now). Co-authored-by: -
Jim Rohrer authored
* Add beit onnx conversion support * Updated docs * Added cross reference to ViT ONNX config
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- 30 Mar, 2022 1 commit
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Francesco Saverio Zuppichini authored
* feature extractor accepts * resolved conversations * added examples in test for ADE20K * num_classes -> num_labels * Apply suggestions from code review Co-authored-by:
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- 29 Mar, 2022 6 commits
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Yih-Dar authored
* Raise diff tolerance value Co-authored-by: -
Sander Land authored
* Avoid accessing .dataset of a dataloader * style * fix * cleaning up, reverting some misunderstandings * black * add train_dataset argument to get_train_dataloader, and fix other instances of length checks * flake8 * address comments * fix bug * cleanup * add test * Update tests/trainer/test_trainer.py Co-authored-by:
Sander Land <sander@chatdesk.com> Co-authored-by:
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Sayak Paul authored
* ported TFViTMAEIntermediate and TFViTMAEOutput. * added TFViTMAEModel and TFViTMAEDecoder. * feat: added a noise argument in the implementation for reproducibility. * feat: vit mae models with an additional noise argument for reproducibility. Co-authored-by:
ariG23498 <aritra.born2fly@gmail.com> Co-authored-by:
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Joao Gante authored
* properly handle kwargs in encoder_decoder architectures * make fixup
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Yih-Dar authored
* Fix for test_mixed_precision * Fix test_saved_model_creation by using shape_list instead of shape * skit test_model_from_pretrained on GPU for now to avoid GPU OOM * skip test_gptj_sample_max_time for now Co-authored-by: -
Yih-Dar authored
* fix - set output_attentions to True * Update tests/test_modeling_flax_common.py * update for has_attentions * overwrite check_outputs in FlaxBigBirdModelTest Co-authored-by:
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- 28 Mar, 2022 4 commits
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NielsRogge authored
* First draft * More improvements * Add fusion blocks * Make conversion script work for dpt_large * Make conversion script work * Improve implementation * Improve conversion script * Add DPTForSemanticSegmentation * Make conversion work for semantic segmentation * Add tests * Remove print statements * First draft * Redesign neck * Improve tests * Improve implementation some more * Make neck output list of tensors * Improve neck and feature extractor * Fix integration tests * Make more tests pass * Make all tests pass * Add missing config archive map * Add in_index attribute to make heads accept list of tensors * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
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Sanchit Gandhi authored
* [FlaxSpeechEncoderDecoderModel] Ensure Input and Output Word Embeddings Are **Not** Tied * rebase
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Jaesun Park authored
Co-authored-by:Jaesun Park <jaesun.park1@navercorp.com>
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Sanchit Gandhi authored
* [Flax] Improve Robustness of Back-Prop Tests * check equality of logits/outputs * make fixup
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- 25 Mar, 2022 4 commits
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Daniel Stancl authored
* Initial commit * Add TFGPTJModel * Fix a forward pass * Add TFGPTJCausalLM * Add TFGPTJForSequenceClassification * Add TFGPTJForQuestionAnswering * Fix docs * Deal with TF dynamic shapes * Add Loss parents to models * Adjust split and merge heads to handle 4 and 5-dim tensors * Update outputs for @tooslow tests
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Sanchit Gandhi authored
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lewtun authored
* Add ONNX support for Blenderbot * Add BlenderbotSmall ONNX configuration * Update serialization table
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Sylvain Gugger authored
* Sharded checkpoint support * Handle distant sharded checkpoints * Add tests * TODO is done * Apply suggestions from code review Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Fix docstring * Add example and format * Address review comments * More review comments * End of merge * Revert unintentional change * VsCode what did you do? * Style * Changes * Address final comments * Quality * Moar tests * Move import beneath is_pt_available Co-authored-by:
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- 24 Mar, 2022 3 commits
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Sylvain Gugger authored
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Yih-Dar authored
* update PT/Flax equivalence tests on PT side * overwrite check_outputs in BigBirdModelTest Co-authored-by: -
Yih-Dar authored
* fix * update the expected value in test_fast_integration Co-authored-by:
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- 23 Mar, 2022 4 commits
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Edward Beeching authored
* Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Reverted changes made to gpt2 * Removed datasets submodule * Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states * Added support for return of hidden states, attentions and return dict of gpt2 model. * Updated tests to include many of the ModelTesterMixin tests. The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes * Added missing line to the end of gpt2 file * Added an integration test for the Decision Transformer Test performs and autoregressive evaluation for two time steps * Set done and info to _ to fix failing test * Updated integration test to be deterministic and check expected outputs * Apply suggestions from code review Co-authored-by:
Clementine Fourrier <cfourrie@inria.fr> Co-authored-by:
matt <rocketknight1@gmail.com> * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by:
✨ refactor code samples with framework-specific blocks *✨ update training.mdx *🖍 apply feedback * Updates the default branch from master to main (#16326) * Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by:Dan Tegzes <48134725+Tegzes@users.noreply.github.com> Co-authored-by:
Adam Montgomerie <adam@avanssion.com> Co-authored-by:
Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com> Co-authored-by:
Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com> Co-authored-by:
Jacob Dineen <54680234+jacobdineen@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Omar Sanseviero <osanseviero@gmail.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr>
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Sylvain Gugger authored
* Make Transformers use cache files when hf.co is down * Fix tests * Was there a random circleCI failure? * Isolate patches * Style * Comment out the failure since it doesn't fail anymore * Better comment
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Joao Gante authored
* revert tf gpt2 * add test for unpack_inputs and fix test case * add changes to vision encoder decoder
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Sylvain Gugger authored
* Split file_utils in several submodules * Fixes * Add back more objects * More fixes * Who exactly decided to import that from there? * Second suggestion to code with code review * Revert wront move * Fix imports * Adapt all imports * Adapt all imports everywhere * Revert this import, will fix in a separate commit
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