- 29 Mar, 2024 1 commit
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Yih-Dar authored
* fix * revert for qwen2 * revert for qwen2 * update * update --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 28 Mar, 2024 5 commits
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Arthur authored
* fix * fix test * style * nit * rather rely on concert token to id * fix quality * Update src/transformers/convert_slow_tokenizer.py
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Arthur authored
[ `TokenizationLlama`] fix the way we convert tokens to strings to keep leading spaces
🚨 breaking fix (#29453) * nit * update test and fix test * fixup -
Joao Gante authored
* add hard rope scaling test * make fixup * quick rope scaling tests * add copy statements
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Joao Gante authored
* replace torch.testing.assert_allclose by torch.testing.assert_close * missing atol rtol
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Eduardo Pacheco authored
* First commit to add flash attention 2 for GPT-2 * more improvements * Make GPT2 pass tests and fixed Decison Transformers copies * Fixed missing arg * fix copies * Added expected speedup * Update src/transformers/models/gpt2/modeling_gpt2.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt2/modeling_gpt2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix copies * Decision transformer not supporting flash attn * Addressed comments * Addressed comments * Addressed comments --------- Co-authored-by:
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- 27 Mar, 2024 4 commits
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Lorenzo Verardo authored
This commit adds gate jitter to MixtralSparseMoeBlock's input data before passing it through the MoE layer, if turned on.
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Hovnatan Karapetyan authored
* Check for requires_grad when initing weights * Add unit test * Move sinusoidal positional encoding generation after post_init() * Add modules to skip init list * Move create_sinusoidal_embeddings to _init_weights
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Anton Vlasjuk authored
* FIX: Cached slow forward in mamba - additionally added mamba cached test - added unused test (mamba causal lm forward and backward) - fixed typo: "causl" --> "causal" * formatting * fix: use real `slow_forward` call instead of torch module's * add shape assertion for mixer block test * adjust shape assertion
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Bo Zheng authored
* add support for qwen2 MoE models * update docs * add support for qwen2 MoE models * update docs * update model name & test * update readme * update class names & readme & model_doc of Qwen2MoE. * update architecture name * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix style * fix test when there are sparse and non sparse layers * fixup * Update README.md Co-authored-by:
bozheng-hit <dsoul0621@gmail.com> Co-authored-by:
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- 25 Mar, 2024 1 commit
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Lysandre Debut authored
* [test_all] Remove static pretrained maps from the library's internals * Deprecate archive maps instead of removing them * Revert init changes * [test_all] Deprecate instead of removing * [test_all] PVT v2 support * [test_all] Tests should all pass * [test_all] Style * Address review comments * Update src/transformers/models/deprecated/_archive_maps.py Co-authored-by:
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- 22 Mar, 2024 1 commit
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fxmarty authored
* correct llava mask * fix vipllava as wlel * mask out embedding for padding tokens * add test * fix style * add setter * fix test on suggestion
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- 21 Mar, 2024 1 commit
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Raushan Turganbay authored
* prepend "bos" to blip generation * minor changes * Update src/transformers/models/blip_2/modeling_blip_2.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/instructblip/modeling_instructblip.py Co-authored-by:
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- 20 Mar, 2024 5 commits
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Arthur authored
* attempt to fix * the actual fix that works with compilation! * this? * temporary update * nit? * dispatcg to memory efficient? * update both models that have static cache support * fix copies fix compile * make sure fix * fix cohere and gemma * fix beams? * nit * slipped through the cracks * nit * nits * update * fix-copies * skip failing tests * nits
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NielsRogge authored
* First draft * Fix tests, add docs * Improve docstrings * Fix test * Address comments * Address comments * Remove vocab_size attribute * Remove batch_size * Address comment * Add image processor tests * Support fx * Update docstring * Add support for 34b * Convert 34b model * Add integration tests * Update checkpoints * Convert vicuna-13b, remove doc tests * Remove script * Remove file * Address comments * Improve docstrings * Deprecate vocab_size * Remove aspect_ratio_setting * Address comments * Update READMEs * Add tips about chat templates * Fix tests * Deprecate vocab_size safely * Update tests --------- Co-authored-by: -
Matt authored
* Add correct batched handling for apply_chat_template * Fix warning method * Add error for incompatible options * expand tests * Add a skip for markuplm * Add skips for other layout models * Skip for LayoutLMv2 * Slightly update the warning message * Update src/transformers/tokenization_utils_base.py Co-authored-by:
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amyeroberts authored
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Joao Gante authored
* make fix-copies * some tests fixed * tests fixed
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- 19 Mar, 2024 3 commits
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Raushan Turganbay authored
* clean-up tests * refine comments * fix musicgen tests * make style * remove slow decorator from a test * more clean-up * fix other failing tests
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StevenBucaille authored
* Added SuperPoint docs * Added tests * Removed commented part * Commit to create and fix add_superpoint branch with a new branch * Fixed dummy_pt_objects * Committed missing files * Fixed README.md * Apply suggestions from code review Fixed small changes Co-authored-by:
steven <steven.bucaillle@gmail.com> Co-authored-by:
Steven Bucaille <steven.bucaille@buawei.com>
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Arthur authored
* use user_defined_symbols * fixup * nit * add a very robust test * make sure all models are tested with the `pretrained_tokenizer_to_test` * should we make sure we test all of them? * merge * remove the id * fix test * update * ousies * oups * fixup * fix copies check * remove `pretrained_tokenizer_to_test`
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- 18 Mar, 2024 1 commit
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Yoach Lacombe authored
* first modeling code * make repository * still WIP * update model * add tests * add latest change * clean docstrings and copied from * update docstrings md and readme * correct chroma function * correct copied from and remove unreleated test * add doc to toctree * correct imports * add convert script to notdoctested * Add suggestion from Sanchit Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct get_uncoditional_inputs docstrings * modify README according to SANCHIT feedback * add chroma to audio utils * clean librosa and torchaudio hard dependencies * fix FE * refactor audio decoder -> audio encoder for consistency with previous musicgen * refactor conditional -> encoder * modify sampling rate logics * modify license at the beginning * refactor all_self_attns->all_attentions * remove ignore copy from causallm generate * add copied from for from_sub_models * fix make copies * add warning if audio is truncated * add copied from where relevant * remove artefact * fix convert script * fix torchaudio and FE * modify chroma method according to feedback-> better naming * refactor input_values->input_features * refactor input_values->input_features and fix import fe * add input_features to docstrigs * correct inputs_embeds logics * remove dtype conversion * refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation * change warning for chroma length * Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py Co-authored-by:
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- 15 Mar, 2024 2 commits
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Yoach Lacombe authored
* fix speech_to_test generation tests * Add details to comment * Update tests/models/speech_to_text/test_modeling_speech_to_text.py Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
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Saurabh Dash authored
* Cohere Model Release (#1) Cohere Model Release * Remove unnecessary files and code (#2) Some cleanup * Delete cohere-model directory (#3) * Make Fix (#5) * Pr fixes (#6) * fixes for pr * pr fixes for the format * pr fixes for the format * src/transformers/models/auto/tokenization_auto.py * Tokenizer test (#8) * tokenizer test * format fix * Adding Docs and other minor changes (#7) * Add modeling tests (#9) * Smol Fix (#11) * tokenization tests are fixed * format fixes * fix pr doc tests * fix pr doc tests * fix pr doc tests * fix pr style check * small changes in cohere.md * FIX: Address final comments for transformers integration (#13) * fix modeling final nits and add proper test file * for now leave empty tests * add integration test * push new test * fix modeling cohere (#14) * Update chat templates to use the new API (#15) --------- Co-authored-by:
ahmetustun <ahmetustun89@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com>
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- 14 Mar, 2024 2 commits
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Yih-Dar authored
* update --------- Co-authored-by: -
Yih-Dar authored
* add arg --------- Co-authored-by:
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- 13 Mar, 2024 5 commits
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Nate Cibik authored
* Added pytests for pvt-v2, all passed * Added pvt_v2 to docs/source/end/model_doc * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Reverted batch eval changes for PR * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat. Added additional type support for image size in config * Fixed config backbone compat * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Reverted batch eval changes for PR * Updated index.md * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat * Ran fix-copies * Fixed PvtV2Backbone tests * Added TFRegNet to OBJECTS_TO_IGNORE in check_docstrings.py * Fixed backbone stuff and fixed tests: all passing * Ran make fixup * Made modifications for code checks * Remove ONNX config from configuration_pvt_v2.py Co-authored-by:
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Yih-Dar authored
update Co-authored-by: -
Raushan Turganbay authored
* fix batchinng tests for new models * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by:
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Lysandre Debut authored
* Adds pretrained IDs directly in the tests * Fix tests * Fix tests * Review!
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bytebarde authored
* initial implementation of flash attention for gptj * modify flash attention and overwrite test_flash_attn_2_generate_padding_right * update flash attention support list * remove the copy line in the `CodeGenBlock` * address copy mechanism * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by:
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- 12 Mar, 2024 2 commits
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Raushan Turganbay authored
* add tests for batching support * Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py Co-authored-by:
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Yih-Dar authored
* update * update * update --------- Co-authored-by:
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- 11 Mar, 2024 1 commit
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Arthur authored
* post merge update * nit * oups
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- 08 Mar, 2024 2 commits
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Fanli Lin authored
* add sacremoses check * fix style * for FlaubertTokenizer * HerbertTokenizer fix * add typeHint * Update src/transformers/testing_utils.py Co-authored-by:
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Joao Gante authored
* left-padding test revisited * Apply suggestions from code review Co-authored-by:
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- 07 Mar, 2024 3 commits
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Nick DeGroot authored
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🐛 Fix vision encoder decoder positional arg *✅ Add test for VisionEncoderDecoder with LayoutLMv3 encoder --------- Co-authored-by:Nick DeGroot <1966472+nickthegroot@users.noreply.github.com>
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Raushan Turganbay authored
* flava multimodal add attn mask * make style * check mask is not None
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regisss authored
* Enable BLIP for auto VQA * Make style * Add VQA to BLIP pipeline tests
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- 05 Mar, 2024 1 commit
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Arthur authored
* initial-commit * start cleaning * small nits * small nits * current updates * add kernels * small refactoring little step * add comments * styling * nit * nits * Style * Small changes * Push dummy mambda simple slow * nit * Use original names * Use original names and remove norm * Updates for inference params * Style nd updates * nits * Match logits * Add a test * Add expected generated text * nits doc, imports and styling * style * oups * dont install kernels, invite users to install the required kernels * let use use the original packages * styling * nits * fix some copieds * update doc * fix-copies * styling done * nits * fix import check * run but wrong cuda ress * mamba CUDA works :) * fix the fast path * config naming nits * conversion script is not required at this stage * finish fixing the fast path: generation make sense now! * nit * Let's start working on the CIs * style * better style * more nits * test nit * quick fix for now * nits * nit * nit * nit * nits * update test rest * fixup * update test * nit * some fixes * nits * update test values * fix styling * nit * support peft * integrations tests require torchg * also add slow markers * styling * chose forward wisely * nits * update tests * fix gradient checkpointing * fixup * nit * fix doc * check copies * fix the docstring * fix some more tests * style * fix beam search * add init schene * update * nit * fix * fixup the doc * fix the doc * fixup * tentative update but slow is no longer good * nit * should we always use float32? * nits * revert wrong changes * res in float32 * cleanup * skip fmt for now * update generation values * update test values running original model * fixup * update tests + rename inference_params to cache_params + make sure training does not use cache_params * small nits * more nits * fix final CIs * style * nit doc * I hope final doc nits * nit * 🫠 * final touch! * fix torch import * Apply suggestions from code review Co-authored-by:
Lysandre Debut <hi@lysand.re> * Apply suggestions from code review * fix fix and fix * fix base model prefix! * nit * Update src/transformers/models/mamba/__init__.py * Update docs/source/en/model_doc/mamba.md Co-authored-by:
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