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288 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Shijie
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19e6e80e10
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support qwen2-vl (#32318)
* support-qwen2-vl * tidy * tidy * tidy * tidy * tidy * tidy * tidy * hyphen->underscore * make style * add-flash2-tipd * delete-tokenize=False * remove-image_processor-in-init-file * add-qwen2_vl-in-MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES * format-doct * support-Qwen2VLVisionConfig * remove-standardize_cache_format * fix-letter-varaibles * remove-torch-in-image-processor * remove-useless-docstring * fix-one-letter-varaible-name * change-block-name * default-quick-gelu-in-vision * remove-useless-doc * use-preimplemented-flash-forward * fix-doc * fix-image-processing-doc * fix-apply-rotary-embed * fix-flash-attn-sliding-window * refactor * remove-default_template * remove-reorder_cache * simple-get-rope_deltas * update-prepare_inputs_for_generation * update-attention-mask * update-rotary_seq_len * remove-state * kv_seq_length * remove-warning * _supports_static_cache * remove-legacy-cache * refactor * fix-replace * mrope-section-doc * code-quality * code-quality * polish-doc * fix-image-processing-test * update readme * Update qwen2_vl.md * fix-test * Update qwen2_vl.md * nit * processor-kwargs * hard-code-norm_layer * code-quality * discard-pixel-values-in-gen * fix-inconsistent-error-msg * unify-image-video * hidden_act * add-docstring * vision-encode-as-PreTrainedModel * pixel-to-target-dtype * update doc and low memoryvit * format * format * channel-foramt * fix vit_flashatt * format * inherit-Qwen2VLPreTrainedModel * simplify * format-test * remove-one-line-func-in-image-processing * avoid-one-line-reshape * simplify-rotary_seq_len * avoid-single-letter-variable * no-for-loop-sdpa * avoid-single-letter-variable * remove-one-line-reshape * remove-one-line-reshape * remove-no-rope-in-vit-logic * default-mrope * add-copied-from * more-docs-for-mrope * polish-doc * comment-and-link * polish-doc * single-letter-variables * simplify-image-processing * video->images * kv_seq_len-update * vision-rope-on-the-fly * vision-eager-attention * change-processor-order --------- Co-authored-by: baishuai <baishuai.bs@alibaba-inc.com> Co-authored-by: ShuaiBai623 <43326198+ShuaiBai623@users.noreply.github.com> |
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Joao Gante
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70d5df6107
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Generate: unify LogitsWarper and LogitsProcessor (#32626)
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Yunfei Chu
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16ed0640be
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Add Qwen2-Audio (#32137)
* add qwen2audio * Update check_repo.py * fix style * fix test * fix style * add model size * Qwen2AudioEncoderModel->Qwen2AudioEncoder; add copy info * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * switch the attention_mask and the feature_attention_mask * add to PRIVATE_MODELS in check_repo.py; add to MODEL_NAMES_TO_IGNORE in check_table.py * fix initialization * update chat_template * fix consistency issue after copy * add docstrings to _merge_input_ids_with_audio_features * add copied from to prepare_inputs_for_generation * add more details to docs * rm comment * add init_std * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * Update src/transformers/models/qwen2_audio/modeling_qwen2_audio.py Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * update * Update docs/source/en/model_doc/qwen2_audio.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update tests * rm ignore_index * update processor * rm ffmpeg_read * Update tests/models/qwen2_audio/test_modeling_qwen2_audio.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/qwen2_audio.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/qwen2_audio.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/qwen2_audio.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update * typo * [run_slow] qwen2_audio * [run_slow] qwen2_audio * [run_slow] qwen2_audio * fix quality * [run_slow] qwen2_audio * [run_slow] qwen2_audio * [run_slow] qwen2_audio * add official model --------- Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Raushan Turganbay
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24cfcc2114
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Chameleon: add model (#31534)
* Chameleon model integration Co-authored-by: Jacob Kahn <jacobkahn1@gmail.com> Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com> * fix 7B, again. mask away image tokens * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove pretrained_config_map * make fixup passing up to utils/check_config_docstrings.py; vqgan moved to the modeling file * remove tokenizer (use llama's); remove codechameleon tests * a few copied from statements and minor changes * copied from in ChameleonModel * some copies in ChameleonForCausalLM * a few more copies * VQModel moved to ChameleonModel (as opposed to being in the processor) * ChameleonProcessor ready * Fix chameleon weights convert * update conversion script * clean-up processing * update modeling a bit * update * update (throws error...) * correct conversion ready * fix tests * fix docs * docs * ve swin norm * fix device for vocab map * add normalization * update * update script with rope rotations * final fix on model conversion * add slow tests * more info in docs * fix repo consistency tests * fix repo tests * fix-copies * hope this will make CI happy * fix for 30b model * Update docs/source/en/index.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/modeling_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/image_processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/image_processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/image_processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/image_processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/modeling_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/chameleon/processing_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/chameleon/test_modeling_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/chameleon/test_modeling_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/chameleon/test_modeling_chameleon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * address comments * remove assertion in conversion script * add image processor test * not copied * port changes for qk layernorm * fix-copies * read token decorator for tests * [run-slow] chameleon * one more read-token * address some comments * qk norm changes * tests and repo check * moved rope permutations to conversion, YAY! * fix past kv check * docs * layernorm done! * let's be consistent in naming * fix slow tests * weird thing with slow CI, but let's see * once more try * remove past-kv as tuple following llama * ignore * style --------- Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by: ArthurZucker <arthur.zucker@gmail.com> Co-authored-by: jacobkahn <jacobkahn1@gmail.com> Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com> Co-authored-by: Leonid Shamis <lshamis@meta.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Joao Gante <joao@huggingface.co> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Naman Garg
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c1e139c2b0
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Adding hiera (#30356)
* initialized Structure * Updated variable names * Added Config class, basic HF setup, convert_to_hf * Fixed Convert function, added hiera to HF files, Initilized test files * better naming for x in forward pass * Moved utils to hiera * Change hiera -> hiera_model * Fixed integration into tranformers * Fix: Convert Checkpoint * added documentation for hiera * added documentation for hiera * added Docstings to models, Transformers based changes * make style and quality * make style and quality * Integration & Block tests running * Fixed bugs * initialized Structure * Updated variable names * Added Config class, basic HF setup, convert_to_hf * Fixed Convert function, added hiera to HF files, Initilized test files * better naming for x in forward pass * Moved utils to hiera * Change hiera -> hiera_model * Fixed integration into tranformers * Fix: Convert Checkpoint * added documentation for hiera * added documentation for hiera * added Docstings to models, Transformers based changes * make style and quality * make style and quality * Integration & Block tests running * Fixed bugs * Removed tim dependency * added HieraBlock * fixed: Model name * added tests for HieraModel, HieraBlock * fixed imports * fixed quality & copies * Fixes * Update docs/source/en/model_doc/hiera.md Fix name Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/hiera.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/hiera.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update src/transformers/models/hiera/configuration_hiera.py Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update src/transformers/models/hiera/configuration_hiera.py Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update src/transformers/models/hiera/modeling_hiera.py Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update src/transformers/models/hiera/modeling_hiera.py Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Fixed formatting * Code quality & Import differences * quality and repo-consistency fix * fixed no torch error * Docstring fix * Docstring fix * doc string fix * fixed example usage * Resolved issues in modeling_hiera * Removed Hiera MAE * Added test and resolved bug * fixed doc string * First commit * Finished conversion script and model forward working * Resolved all issues * nits * Improving tests * Nits * More nits * Improving HieraForMaskedImageModeling * More improvements and nits * Fixed docstrings of outputs * More fixes * More imrpovments * Updated conversion script * Fixed docstrings * Improved tests * Fixed attentou outputs test * All tests green * Removed unnecessary file * contribution attribution * Resolved a few issues * Resolved Comments * Updated model repo id and fixed bugs * Removed loss print * Make tests green * Updated docstrings * Fix style * Fixed num_heads in config * Removed unnecessary video checkpoint related code in the conversion script * Fix style * Changed atol in conversion script * HieraConfig * Fix copies * Fixed typo * Resolved few issues * make * converted conv_nd -> nn.Module * Removed video complexities * Removed video complexities * fix style * Addressing comments * Update src/transformers/models/hiera/modeling_hiera.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/hiera/modeling_hiera.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/hiera/modeling_hiera.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix style * Fixed tests * Fixed typo * Fixed interpolate test * Made torch fx compatible * Made sure imageprocesor is correct * Addressed comments * Noise directly as torch * Remove unnecesary attr * Added return_dit * Update src/transformers/models/hiera/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Updated checkpoints * [run_slow] hiera * Fixed device mismatch * [run_slow] hiera * Fixed GPU tests * [run_slow] hiera --------- Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-50.us-east-2.compute.internal> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: Eduardo Pacheco <eduardo.pach@hotmail.com> Co-authored-by: Eduardo Pacheco <69953243+EduardoPach@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Raushan Turganbay
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fc689d75a0
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Add video modality for InstrucBLIP (#30182)
* squash in single commit * add docs * dummy obj * more changes in diff converter * tiny fix * make docs happy * skip test * repo consistency tests * update docstring * style * fix tests * change diff imports * [run-slow] instructblipvideo * [run-slow] instructblipvideo * fix tests and remove logit check * [run-slow] instructblipvideo |
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Arthur
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673440d073
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update ruff version (#30932)
* update ruff version * fix research projects * Empty * Fix errors --------- Co-authored-by: Lysandre <lysandre@huggingface.co> |
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Arthur
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0fe44059ae
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Add recurrent gemma (#30143)
* Fork. * RecurrentGemma initial commit. * Updating __init__.py. * Minor modification to how we initialize the cache. Changing how the config specifies the architecture. * Reformat code to 4 spaces. Fixed a few typos. * Fixed the forward pass. Still unclear on the cache? * Fixed the RecurrentGemmaForCausalLM * Minor comment that we might not need attention_mask and output_attention arguments. * Now cache should work as well. * Adding a temporary example to check whether the model generation works. * Adding the tests and updating imports. * Adding the example file missing in the previous commit. * First working example. * Removing .gitignore and reverting parts of __init__. * Re-add .gitignore. * Addressing comments for configuration. * Move mask creation to `_prepare_inputs_for_generation`. * First try at integration tests: 1. AttributeError: 'GriffinCausalLMOutput' object has no attribute 'attentions'. 2. `cache_position` not passed * Transfoering between machines. * Running normal tests. * Minor fix. * More fixes. * Addressing more comments. * Minor fixes. * first stab at cleanup * more refactoring * fix copies and else * renaming and get init to work * fix causal mask creation * update * nit * fix a hell lot of things * updates * update conversion script * make all keys importable * nits * add auto mappings * properly convert ffw_up and down * add scaling * fix generations * for recurrent dtype * update * fix going beyong window * fixup * add missing files * current updates to remove last einops * finish modeling refactor * TADA * fix compile * fix most failing testt ? ? * update tests * refactor and update * update * nits, fixup and update tests * more fixup * nits * fix imports * test format * fixups * nits * tuple typing * fix code quality * add model card * fix doc * skip most generation tests * nits * style * doc fixes * fix pr and check_copies? * last nit * oupsy * Apply suggestions from code review Co-authored-by: Lysandre Debut <hi@lysand.re> * update * Update src/transformers/models/recurrent_gemma/convert_recurrent_gemma_to_hf.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update based on review * doc nit * fix quality * quality * fix slow test model path * update default dype * ignore attributes that can be safely ignored in check config attributes * 0lallalala come on * save nit * style * remove to dict update * make sure we can also run in float16 * style --------- Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by: Aleksandar Botev <botev@google.com> Co-authored-by: Leonard Berrada <lberrada@users.noreply.github.com> Co-authored-by: anushanf <anushanf@google.com> Co-authored-by: botev <botevmg@gmail.com> Co-authored-by: Lysandre Debut <hi@lysand.re> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Yoach Lacombe
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c43b380e70
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Add MusicGen Melody (#28819)
* 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: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * change way to save wav, using soundfile * correct docs and change to soundfile * fix import * fix init proj layers * remove line breaks from md * fix issue with docstrings * add FE suggestions * improve is in logics and remove useless imports * remove custom from_pretrained * simplify docstring code * add suggestions for modeling tests * make style * update converting script with sanity check * remove encoder attention mask from conditional generation * replace musicgen melody checkpoints with official orga * rename ylacombe->facebook in checkpoints * fix copies * remove unecessary warning * add shape in code docstrings * add files to slow doc tests * fix md bug and add md to not_tested * make fix-copies * fix hidden states test and batching --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Nate Cibik
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1fc505b816
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Add PvT-v2 Model (#26812)
* 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: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Use explicit image size dict in test_modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Make image_size optional in test_modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Remove _ntuple use in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Remove reference to fp16_enabled
* Model modules now take config as first argument even when not used
* Replaced abbreviations for "SR" and "AP" with explicit "spatialreduction" and "averagepooling"
* All LayerNorm now instantiates with config.layer_norm_eps
* Added docstring for depth-wise conv layer
* PvtV2Config now only takes Union[int, Tuple[int, int]] for image size
* Refactored PVTv2 in prep for gradient checkpointing
* Gradient checkpointing ready to test
* Removed override of _set_gradient_checkpointing
* Cleaned out old code
* Applied code fixup
* Applied code fixup
* Began debug of pvt_v2 tests
* Leave handling of num_labels to base pretrained config class
* Deactivated gradient checkpointing tests until it is fixed
* Removed PvtV2ImageProcessor which duped PvtImageProcessor
* 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
* 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
* 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: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Use explicit image size dict in test_modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Make image_size optional in test_modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Remove _ntuple use in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Remove reference to fp16_enabled
* Model modules now take config as first argument even when not used
* Replaced abbreviations for "SR" and "AP" with explicit "spatialreduction" and "averagepooling"
* All LayerNorm now instantiates with config.layer_norm_eps
* Added docstring for depth-wise conv layer
* PvtV2Config now only takes Union[int, Tuple[int, int]] for image size
* Refactored PVTv2 in prep for gradient checkpointing
* Gradient checkpointing ready to test
* Removed override of _set_gradient_checkpointing
* Cleaned out old code
* Applied code fixup
* Applied code fixup
* Allowed for batching of eval metrics
* copied models/pvt to adapt to pvt_v2
* First commit of pvt_v2
* PvT-v2 now works in AutoModel
* Ran fix-copies and fixup. All checks passed
* 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
* Fixed config docstring. Added channels property
* Fixed config backbone compat
* Allowed for batching of eval metrics
* copied models/pvt to adapt to pvt_v2
* First commit of pvt_v2
* PvT-v2 now works in AutoModel
* Ran fix-copies and fixup. All checks passed
* Allowed for batching of eval metrics
* copied models/pvt to adapt to pvt_v2
* First commit of pvt_v2
* PvT-v2 now works in AutoModel
* Fixed config backbone compat
* Ran fix-copies
* Began debug of pvt_v2 tests
* Leave handling of num_labels to base pretrained config class
* Deactivated gradient checkpointing tests until it is fixed
* Removed PvtV2ImageProcessor which duped PvtImageProcessor
* Fixed issue from rebase
* Fixed issue from rebase
* Set tests for gradient checkpointing to skip those using reentrant since it isn't supported
* Fixed issue from rebase
* Fixed issue from rebase
* Changed model name in docs
* Removed duplicate PvtV2Backbone
* Work around type switching issue in tests
* Fix model name in config comments
* Update docs/source/en/model_doc/pvt_v2.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Changed name of variable from 'attn_reduce' to 'sr_type'
* Changed name of variable from 'attn_reduce' to 'sr_type'
* Changed from using 'sr_type' to 'linear_attention' for clarity
* Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
Removed old code
* Changed from using 'sr_type' to 'linear_attention' for clarity
* Fixed Class names to be more descriptive
* Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
Removed outdated code
* Moved paper abstract to single line in pvt_v2.md
* Added usage tips to pvt_v2.md
* Simplified module inits by passing layer_idx
* Fixed typing for hidden_act in PvtV2Config
* Removed unusued import
* Add pvt_v2 to docs/source/en/_toctree.yml
* Updated documentation in docs/source/en/model_doc/pvt_v2.md to be more comprehensive.
* Updated documentation in docs/source/en/model_doc/pvt_v2.md to be more comprehensive.
* Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
Move function parameters to single line
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
Update year of copyright to 2024
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
Make code more explicit
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Updated sr_ratio to be more explicit spatial_reduction_ratio
* Removed excess type hints in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Move params to single line in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Removed needless comment in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update copyright date in pvt_v2.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Moved params to single line in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Updated copyright date in configuration_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Cleaned comments in modeling_pvt_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Renamed spatial_reduction Conv2D operation
* Revert "Update src/transformers/models/pvt_v2/modeling_pvt_v2.py
"
This reverts commit
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NielsRogge
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836921fdeb
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Add UDOP (#22940)
* First draft
* More improvements
* More improvements
* More fixes
* Fix copies
* More improvements
* More fixes
* More improvements
* Convert checkpoint
* More improvements, set up tests
* Fix more tests
* Add UdopModel
* More improvements
* Fix equivalence test
* More fixes
* Redesign model
* Extend conversion script
* Use real inputs for conversion script
* Add image processor
* Improve conversion script
* Add UdopTokenizer
* Add fast tokenizer
* Add converter
* Update README's
* Add processor
* Add fully fledged tokenizer
* Add fast tokenizer
* Use processor in conversion script
* Add tokenizer tests
* Fix one more test
* Fix more tests
* Fix tokenizer tests
* Enable fast tokenizer tests
* Fix more tests
* Fix additional_special_tokens of fast tokenizer
* Fix tokenizer tests
* Fix more tests
* Fix equivalence test
* Rename image to pixel_values
* Rename seg_data to bbox
* More renamings
* Remove vis_special_token
* More improvements
* Add docs
* Fix copied from
* Update slow tokenizer
* Update fast tokenizer design
* Make text input optional
* Add first draft of processor tests
* Fix more processor tests
* Fix decoder_start_token_id
* Fix test_initialization
* Add integration test
* More improvements
* Improve processor, add test
* Add more copied from
* Add more copied from
* Add more copied from
* Add more copied from
* Remove print statement
* Update README and auto mapping
* Delete files
* Delete another file
* Remove code
* Fix test
* Fix docs
* Remove asserts
* Add doc tests
* Include UDOP in exotic model tests
* Add expected tesseract decodings
* Add sentencepiece
* Use same design as T5
* Add UdopEncoderModel
* Add UdopEncoderModel to tests
* More fixes
* Fix fast tokenizer
* Fix one more test
* Remove parallelisable attribute
* Fix copies
* Remove legacy file
* Copy from T5Tokenizer
* Fix rebase
* More fixes, copy from T5
* More fixes
* Fix init
* Use ArthurZ/udop for tests
* Make all model tests pass
* Remove UdopForConditionalGeneration from auto mapping
* Fix more tests
* fixups
* more fixups
* fix the tokenizers
* remove un-necessary changes
* nits
* nits
* replace truncate_sequences_boxes with truncate_sequences for fix-copies
* nit current path
* add a test for input ids
* ids that we should get taken from
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Eduardo Pacheco
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3fcfbe7549
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Adding SegGPT (#27735)
* First commit * Improvements * More improvements * Converted original checkpoint to HF checkpoint * Fix style * Fixed forward * More improvements * More improvements * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove asserts * Remove unnecessary attributes * Changed model name to camel case * Improve forward doc * Improve tests * More improvements * Fix copies * Fix doc * Make SegGptImageProcessor more flexible * Added few-shot test * Fix style * Update READMEs and docs * Update READMEs * Make inputs required * Add SegGptForImageSegmentation * Make tests pass * Rename to out_indicies * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fixed naming convention * Copying SegGptMlp from modeling_sam.py * Some minor improvements * Remove mlp_ratio * Fix docstrings * Fixed docstring match * Objects defined before use * Storing only patch_size and beta for SegGptLoss * removed _prepare_inputs method * Removed modified from headers * Renamed to output_indicies * Removed unnecessary einsums * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fixing issues * Raise error as soon as possible * More fixes * Fix merge * Added palette to SegGptImageProcessor * Fixed typo * Fixed shape typo * Added permute before doing palette to class mapping * Fixed style * Fixed and added tests * Fixed docstrings * Matching SegFormer API for post_processing_semantic_segmentation * Fixed copies * Fixed SegGptImageProcessor to handle both binary and RGB masks * Updated docstrings of SegGptImageProcessor * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/seggpt.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/convert_seggpt_to_hf.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Object definitions above & fix style * Renamed output_indices to intermediate_feature_indices * Removed unnecessary check on bool_masked_pos * Loss first in the outputs * Added validation for do_normalize * Improved SegGptImageProcessor and added new tests * Added comment * Added docstrings to SegGptLoss * Reimplemented ensemble condition logic in SegGptEncoder * Update src/transformers/models/seggpt/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/convert_seggpt_to_hf.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Updated docstrings to use post_process_semantic_segmentation * Fixed typo on docstrings * moved pixel values test to test_image_processing_seggpt * Addressed comments * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Updated docstrings for SegGptLoss * Address comments * Added SegGpt example to model docs * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * moved patchify and unpatchify * Rename checkpoint * Renamed intermediate_features to intermediate_hidden_states for consistency * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Replaced post_process_masks for post_process_semantic_segmentation in the docs --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Niels <niels.rogge1@gmail.com> Co-authored-by: Eduardo Pacheco <eduardo.pacheco@limehome.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Merve Noyan
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7c4995f93d
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Add feature extraction mapping for automatic metadata update (#28944)
* add feature extraction mapping * added prefix * ruff check * minor fix * Update modeling_auto.py * fix typo * remove prefix to make variable public/importable * Update src/transformers/models/auto/modeling_auto.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fixes * addressed comments * nit * fix-copies * remove from tests * this should fix * Update tests/models/convnextv2/test_modeling_convnextv2.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * nits --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Timothy Cronin
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ff86bc364d
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improve dev setup comments and hints (#28495)
* improve dev setup comments and hints * fix tests for new dev setup hints |
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Joao Gante
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4fb3d3a0f6
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TF: purge TFTrainer (#28483)
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NielsRogge
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3b742ea84c
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Add SigLIP (#26522)
* Add first draft * Use appropriate gelu function * More improvements * More improvements * More improvements * Convert checkpoint * More improvements * Improve docs, remove print statements * More improvements * Add link * remove unused masking function * begin tokenizer * do_lower_case * debug * set split_special_tokens=True * Remove script * Fix style * Fix rebase * Use same design as CLIP * Add fast tokenizer * Add SiglipTokenizer to init, remove extra_ids * Improve conversion script * Use smaller inputs in conversion script * Update conversion script * More improvements * Add processor to conversion script * Add tests * Remove print statements * Add tokenizer tests * Fix more tests * More improvements related to weight initialization * More improvements * Make more tests pass * More improvements * More improvements * Add copied from * Add canonicalize_text * Enable fast tokenizer tests * More improvements * Fix most slow tokenizer tests * Address comments * Fix style * Remove script * Address some comments * Add copied from to tests * Add more copied from * Add more copied from * Add more copied from * Remove is_flax_available * More updates * Address comment * Remove SiglipTokenizerFast for now * Add caching * Remove umt5 test * Add canonicalize_text inside _tokenize, thanks Arthur * Fix image processor tests * Skip tests which are not applicable * Skip test_initialization * More improvements * Compare pixel values * Fix doc tests, add integration test * Add do_normalize * Remove causal mask and leverage ignore copy * Fix attention_mask * Fix remaining tests * Fix dummies * Rename temperature and bias * Address comments * Add copied from to tokenizer tests * Add SiglipVisionModel to auto mapping * Add copied from to image processor tests * Improve doc * Remove SiglipVisionModel from index * Address comments * Improve docs * Simplify config * Add first draft * Make it like mistral * More improvements * Fix attention_mask * Fix output_attentions * Add note in docs * Convert multilingual model * Convert large checkpoint * Convert more checkpoints * Add pipeline support, correct image_mean and image_std * Use padding=max_length by default * Make processor like llava * Add code snippet * Convert more checkpoints * Set keep_punctuation_string=None as in OpenCLIP * Set normalized=False for special tokens * Fix doc test * Update integration test * Add figure * Update organization * Happy new year * Use AutoModel everywhere --------- Co-authored-by: patil-suraj <surajp815@gmail.com> |
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Connor Henderson
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d83ff5eeff
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Add FastSpeech2Conformer (#23439)
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style |
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NielsRogge
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c9fb250a25
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Add Swinv2 backbone (#27742)
* First draft * More improvements * More improvements * Make all tests pass * Remove script * Update image processor * Address comments * Use new gradient checkpointing method * Convert checkpoints, add integration test * Do not keep aspect ratio for now * Set keep_aspect_ratio=False for beit, add integration test * Remove print statement |
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Steven Liu
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a52e180a0f
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[docs] General doc fixes (#28087)
* doc fix friday * deprecated objects * update not_doctested * update toctree |
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Arindam Jati
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b242d0f297
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[Time series] Add PatchTSMixer (#26247)
* patchtsmixer initial commit * x,y->context_values,target_values, unittest addded * cleanup code * minor * return hidden states * model tests, partial integration tests * ettm notebook temporary * minor * config mask bug fix, tests updated * final ETT notebooks * add selfattn * init * added docstrings * PatchTSMixerForPretraining -> PatchTSMixerForMaskPretraining * functionality tests added * add start and input docstrings * docstring edits * testcase edits * minor changes * docstring error fixed * ran make fixup * finalize integration tests and docs * minor * cleaned gitignore * added dataclass decorator, ran black formatter * ran ruff * formatting * add slow decorator * renamed in_Channel to input_size and default to 1 * shorten dataclass names * use smaller model for testing * moved the 3 heads to the modeling file * use scalers instead of revin * support forecast_channel_indices * fix regression scaling * undo reg. scaling * removed unneeded classes * forgot missing * add more layers * add copied positional_encoding * use patchmask from patchtst * removed dependency on layers directory * formatting * set seed * removed unused imports * fixed forward signature test * adding distributional head for PatchTSMixerForecasting * add generate to forecast * testcases for generate * add generate and distributional head for regression * raise Exception for negative values for neg binominal distribution * formatting changes * remove copied from patchtst and add TODO for test passing * make copies * doc edits * minor changes * format issues * minor changes * minor changes * format docstring * change some class names to PatchTSMixer + class name Transpose to PatchTSMixerTranspose GatedAttention to PatchTSMixerGatedAttention * change NormLayer to PatchTSMixerNormLayer * change MLP to PatchTSMixerMLP * change PatchMixer to PatchMixerBlock, FeatureMixer to FeatureMixerBlock * change ChannelFeatureMixer to ChannelFeatureMixerBlock * change PatchMasking to PatchTSMixerMasking * change Patchify to PatchTSMixerPatchify * list to `list` * fix docstrings * formatting * change bs to batch_size, edit forecast_masking * edit random_masking * change variable name and update docstring in PatchTSMixerMasking * change variable name and update docstring in InjectScalerStatistics4D * update forward call in PatchTSMixerTranspose * change variable name and update docstring in PatchTSMixerNormLayer * change variable name and update docstring in PatchTSMixerMLP * change variable name and update docstring in ChannelFeatureMixerBlock * formatting * formatting issues * docstring issue * fixed observed_mask type in docstrings * use FloatTensor type * formatting * fix rescaling issue in forecasting, fixed integration tests * add docstring from decorator * fix docstring * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/configuration_patchtsmixer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/configuration_patchtsmixer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * PatchTSMixerChannelFeatureMixerBlock * formatting * ForPretraining * use num_labels instead of n_classes * remove commented out code * docstring fixed * nn.functional used instead of one letter F * x_tmp renamed * one letter variable x removed from forward calls * one letter variable y removed * remove commented code * rename patch_size, in_channels, PatchTSMixerBackbone * add config to heads * add config to heads tests * code reafactoring to use config instead of passing individual params * Cdocstring fixes part 1 * docstring fixes part 2 * removed logger.debug * context_values -> past_values * formatting changes * pe -> positional_encoding * removed unused target variable * self.mode logic fixed * formatting change * edit docstring and var name * change n_targets to num_targets * rename input_size to num_input_channels * add head names with prefix PatchTSMixer * edit docstring in PatchTSMixerForRegression * fix var name change in testcases * add PatchTSMixerAttention * return dict for all exposed classes, test cases added * format * move loss function to forward call * make style * adding return dict/tuple * make repo-consistency * remove flatten mode * code refactoring * rename data * remove PatchTSMixer and keep only PatchTSMixerEncoder * docstring fixes * removed unused code * format * format * remove contiguous and formatting changes * remove model description from config * replace asserts with ValueError * remove nn.Sequential from PatchTSMixerNormLayer * replace if-else with map * remove all nn.Sequential * format * formatting * fix gradient_checkpointing error after merge, and formatting * make fix-copies * remove comments * reshape * doesnt support gradient checkpointing * corect Patchify * masking updates * batchnorm copy from * format checks * scaler edits * remove comments * format changes * remove self.config * correct class PatchTSMixerMLP(nn.Module): * makr fix * doc updates * fix-copies * scaler class correction * doc edits * scaler edits * update readme with links * injectstatistics add * fix-copies * add norm_eps option to LayerNorm * format changes * fix copies * correct make copies * use parametrize * fix doc string * add docs to toctree * make style * doc segmenting * docstring edit * change forecast to prediction * edit doc * doc edits * remove PatchTSMixerTranspose * add PatchTSMixerPositionalEncoding and init position_enc * remove positional_encoding * edit forecast_masking, remove forecast_mask_ratios * fix broken code * var rename target_values -> future_values * num_features -> d_model * fix broken code after master merge * repo consistency * use postional embedding * prediction_logits -> prediction_outputs, make fix-copies * uncommented @slow * minor changes * loss first in tuple * tuple and dict same ordering * style edits * minor changes * dict/tuple consistent enablement * Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/patchtsmixer/test_modeling_patchtsmixer.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix formatting * formatting * usage tip * test on cpu only * add sample usage * change PatchTSMixerForClassification to PatchTSMixerForTimeSeriesClassification * push changes * fix copies * std scaling set to default True case * minor changes * stylechanges --------- Co-authored-by: Arindam Jati <arindam.jati@ibm.com> Co-authored-by: vijaye12 <vijaye12@in.ibm.com> Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: nnguyen <nnguyen@us.ibm.com> Co-authored-by: vijaye12 <vijaykr.e@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Nam Nguyen <namctin@gmail.com> Co-authored-by: Wesley Gifford <79663411+wgifford@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Yoach Lacombe
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29f1aee3b6
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Add SeamlessM4T v2 (#27779)
* add working convertion script * first non-working version of modeling code * update modeling code (working) * make style * make fix-copies * add config docstrings * add config to ignore docstrings formatage due to unconventional markdown * fix copies * fix generation num_return_sequences * enrich docs * add and fix tests beside integration tests * update integration tests * update repo id * add tie weights and make style * correct naming in .md * fix imports and so on * correct docstrings * fix fp16 speech forward * fix speechencoder attention * make style * fix copied from * rename SeamlessM4Tv2-v2 to SeamlessM4Tv2 * Apply suggestions on configuration Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove useless public models * fix private models + better naming for T2U models * clean speech encoder relative position embeddings * refactor chunk attention * add docstrings to chunk attention method * improve naming and docstrings * rename some attention variables + add temperature sampling in T2U model * rename DOCSTRINGS variable names * make style + remove 2 useless config parameters * enrich model card * remove any attention_head reference + fix temperature in T2U * new fmt and make style * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * rename spkr_id->speaker_id and change docstrings of get_char_input_ids * simplify v2attention * make style * Update seamless_m4t_v2.md * update code and tests with last update * update repo ids * fill article name, abstract andauthors * update not_doctested and slow_doc tests --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Kashif Rasul
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af8acc4760
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[Time series] Add patchtst (#27581)
* add distribution head to forecasting
* formatting
* Add generate function for forecasting
* Add generate function to prediction task
* formatting
* use argsort
* add past_observed_mask ordering
* fix arguments
* docs
* add back test_model_outputs_equivalence test
* formatting
* cleanup
* formatting
* use ACT2CLS
* formatting
* fix add_start_docstrings decorator
* add distribution head and generate function to regression task
add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput, PatchTSTForRegressionOutput.
* add distribution head and generate function to regression task
add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput, PatchTSTForRegressionOutput.
* fix typos
* add forecast_masking
* fixed tests
* use set_seed
* fix doc test
* formatting
* Update docs/source/en/model_doc/patchtst.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* better var names
* rename PatchTSTTranspose
* fix argument names and docs string
* remove compute_num_patches and unused class
* remove assert
* renamed to PatchTSTMasking
* use num_labels for classification
* use num_labels
* use default num_labels from super class
* move model_type after docstring
* renamed PatchTSTForMaskPretraining
* bs -> batch_size
* more review fixes
* use hidden_state
* rename encoder layer and block class
* remove commented seed_number
* edit docstring
* Add docstring
* formatting
* use past_observed_mask
* doc suggestion
* make fix-copies
* use Args:
* add docstring
* add docstring
* change some variable names and add PatchTST before some class names
* formatting
* fix argument types
* fix tests
* change x variable to patch_input
* format
* formatting
* fix-copies
* Update tests/models/patchtst/test_modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* move loss to forward
* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* formatting
* fix a bug when pre_norm is set to True
* output_hidden_states is set to False as default
* set pre_norm=True as default
* format docstring
* format
* output_hidden_states is None by default
* add missing docs
* better var names
* docstring: remove default to False in output_hidden_states
* change labels name to target_values in regression task
* format
* fix tests
* change to forecast_mask_ratios and random_mask_ratio
* change mask names
* change future_values to target_values param in the prediction class
* remove nn.Sequential and make PatchTSTBatchNorm class
* black
* fix argument name for prediction
* add output_attentions option
* add output_attentions to PatchTSTEncoder
* formatting
* Add attention output option to all classes
* Remove PatchTSTEncoderBlock
* create PatchTSTEmbedding class
* use config in PatchTSTPatchify
* Use config in PatchTSTMasking class
* add channel_attn_weights
* Add PatchTSTScaler class
* add output_attentions arg to test function
* format
* Update doc with image patchtst.md
* fix-copies
* rename Forecast <-> Prediction
* change name of a few parameters to match with PatchTSMixer.
* Remove *ForForecasting class to match with other time series models.
* make style
* Remove PatchTSTForForecasting in the test
* remove PatchTSTForForecastingOutput class
* change test_forecast_head to test_prediction_head
* style
* fix docs
* fix tests
* change num_labels to num_targets
* Remove PatchTSTTranspose
* remove arguments in PatchTSTMeanScaler
* remove arguments in PatchTSTStdScaler
* add config as an argument to all the scaler classes
* reformat
* Add norm_eps for batchnorm and layernorm
* reformat.
* reformat
* edit docstring
* update docstring
* change variable name pooling to pooling_type
* fix output_hidden_states as tuple
* fix bug when calling PatchTSTBatchNorm
* change stride to patch_stride
* create PatchTSTPositionalEncoding class and restructure the PatchTSTEncoder
* formatting
* initialize scalers with configs
* edit output_hidden_states
* style
* fix forecast_mask_patches doc string
* doc improvements
* move summary to the start
* typo
* fix docstring
* turn off masking when using prediction, regression, classification
* return scaled output
* adjust output when using distribution head
* remove _num_patches function in the config
* get config.num_patches from patchifier init
* add output_attentions docstring, remove tuple in output_hidden_states
* change SamplePatchTSTPredictionOutput and SamplePatchTSTRegressionOutput to SamplePatchTSTOutput
* remove print("model_class: ", model_class)
* change encoder_attention_heads to num_attention_heads
* change norm to norm_layer
* change encoder_layers to num_hidden_layers
* change shared_embedding to share_embedding, shared_projection to share_projection
* add output_attentions
* more robust check of norm_type
* change dropout_path to path_dropout
* edit docstring
* remove positional_encoding function and add _init_pe in PatchTSTPositionalEncoding
* edit shape of cls_token and initialize it
* add a check on the num_input_channels.
* edit head_dim in the Prediction class to allow the use of cls_token
* remove some positional_encoding_type options, remove learn_pe arg, initalize pe
* change Exception to ValueError
* format
* norm_type is "batchnorm"
* make style
* change cls_token shape
* Change forecast_mask_patches to num_mask_patches. Remove forecast_mask_ratios.
* Bring PatchTSTClassificationHead on top of PatchTSTForClassification
* change encoder_ffn_dim to ffn_dim and edit the docstring.
* update variable names to match with the config
* add generation tests
* change num_mask_patches to num_forecast_mask_patches
* Add examples explaining the use of these models
* make style
* Revert "Revert "[time series] Add PatchTST (#25927)" (#27486)"
This reverts commit
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NielsRogge
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1fb3c23b41
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Add BeitBackbone (#25952)
* First draft * Add backwards compatibility * More improvements * More improvements * Improve error message * Address comment * Add conversion script * Fix style * Update code snippet * Adddress comment * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Yih-Dar
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7293fdc5b9
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Deprecate TransfoXL (#27607)
* fix * fix * trigger * Apply suggestions from code review Co-authored-by: Lysandre Debut <hi@lysand.re> * tic * revert * revert --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Lysandre Debut <hi@lysand.re> |
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jiqing-feng
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c770600fde
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TVP model (#25856)
* tvp model for video grounding add tokenizer auto fix param in TVPProcessor add docs clear comments and enable different torch dtype add image processor test and model test and fix code style * fix conflict * fix model doc * fix image processing tests * fix tvp tests * remove torch in processor * fix grammar error * add more details on tvp.md * fix model arch for loss, grammar, and processor * add docstring and do not regard TvpTransformer, TvpVisionModel as individual model * use pad_image * update copyright * control first downsample stride * reduce first only works for ResNetBottleNeckLayer * fix param name * fix style * add testing * fix style * rm init_weight * fix style * add post init * fix comments * do not test TvpTransformer * fix warning * fix style * fix example * fix config map * add link in config * fix comments * fix style * rm useless param * change attention * change test * add notes * fix comments * fix tvp * import checkpointing * fix gradient checkpointing * Use a more accurate example in readme * update * fix copy * fix style * update readme * delete print * remove tvp test_forward_signature * remove TvpTransformer * fix test init model * merge main and make style * fix tests and others * fix image processor * fix style and model_input_names * fix tests |
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amyeroberts
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78f6ed6c70
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Revert "[time series] Add PatchTST (#25927)" (#27486)
The model was merged before final review and approval.
This reverts commit
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Gift Sinthong
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2ac5b9325e
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[time series] Add PatchTST (#25927)
* Initial commit of PatchTST model classes Co-authored-by: Phanwadee Sinthong <phsinthong@gmail.com> Co-authored-by: Nam Nguyen <namctin@gmail.com> Co-authored-by: Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by: Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by: Wesley Gifford <79663411+wgifford@users.noreply.github.com> * Add PatchTSTForPretraining * update to include classification Co-authored-by: Phanwadee Sinthong <phsinthong@gmail.com> Co-authored-by: Nam Nguyen <namctin@gmail.com> Co-authored-by: Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by: Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by: Wesley Gifford <79663411+wgifford@users.noreply.github.com> * clean up auto files * Add PatchTSTForPrediction * Fix relative import * Replace original PatchTSTEncoder with ChannelAttentionPatchTSTEncoder * temporary adding absolute path + add PatchTSTForForecasting class * Update base PatchTSTModel + Unittest * Update ForecastHead to use the config class * edit cv_random_masking, add mask to model output * Update configuration_patchtst.py * add masked_loss to the pretraining * add PatchEmbeddings * Update configuration_patchtst.py * edit loss which considers mask in the pretraining * remove patch_last option * Add commits from internal repo * Update ForecastHead * Add model weight initilization + unittest * Update PatchTST unittest to use local import * PatchTST integration tests for pretraining and prediction * Added PatchTSTForRegression + update unittest to include label generation * Revert unrelated model test file * Combine similar output classes * update PredictionHead * Update configuration_patchtst.py * Add Revin * small edit to PatchTSTModelOutputWithNoAttention * Update modeling_patchtst.py * Updating integration test for forecasting * Fix unittest after class structure changed * docstring updates * change input_size to num_input_channels * more formatting * Remove some unused params * Add a comment for pretrained models * add channel_attention option add channel_attention option and remove unused positional encoders. * Update PatchTST models to use HF's MultiHeadAttention module * Update paper + github urls * Fix hidden_state return value * Update integration test to use PatchTSTForForecasting * Adding dataclass decorator for model output classes * Run fixup script * Rename model repos for integration test * edit argument explanation * change individual option to shared_projection * style * Rename integration test + import cleanup * Fix outpu_hidden_states return value * removed unused mode * added std, mean and nops scaler * add initial distributional loss for predition * fix typo in docs * add generate function * formatting * add num_parallel_samples * Fix a typo * copy weighted_average function, edit PredictionHead * edit PredictionHead * add distribution head to forecasting * formatting * Add generate function for forecasting * Add generate function to prediction task * formatting * use argsort * add past_observed_mask ordering * fix arguments * docs * add back test_model_outputs_equivalence test * formatting * cleanup * formatting * use ACT2CLS * formatting * fix add_start_docstrings decorator * add distribution head and generate function to regression task add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput, PatchTSTForRegressionOutput. * add distribution head and generate function to regression task add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput, PatchTSTForRegressionOutput. * fix typos * add forecast_masking * fixed tests * use set_seed * fix doc test * formatting * Update docs/source/en/model_doc/patchtst.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * better var names * rename PatchTSTTranspose * fix argument names and docs string * remove compute_num_patches and unused class * remove assert * renamed to PatchTSTMasking * use num_labels for classification * use num_labels * use default num_labels from super class * move model_type after docstring * renamed PatchTSTForMaskPretraining * bs -> batch_size * more review fixes * use hidden_state * rename encoder layer and block class * remove commented seed_number * edit docstring * Add docstring * formatting * use past_observed_mask * doc suggestion * make fix-copies * use Args: * add docstring * add docstring * change some variable names and add PatchTST before some class names * formatting * fix argument types * fix tests * change x variable to patch_input * format * formatting * fix-copies * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * move loss to forward * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * formatting * fix a bug when pre_norm is set to True * output_hidden_states is set to False as default * set pre_norm=True as default * format docstring * format * output_hidden_states is None by default * add missing docs * better var names * docstring: remove default to False in output_hidden_states * change labels name to target_values in regression task * format * fix tests * change to forecast_mask_ratios and random_mask_ratio * change mask names * change future_values to target_values param in the prediction class * remove nn.Sequential and make PatchTSTBatchNorm class * black * fix argument name for prediction * add output_attentions option * add output_attentions to PatchTSTEncoder * formatting * Add attention output option to all classes * Remove PatchTSTEncoderBlock * create PatchTSTEmbedding class * use config in PatchTSTPatchify * Use config in PatchTSTMasking class * add channel_attn_weights * Add PatchTSTScaler class * add output_attentions arg to test function * format * Update doc with image patchtst.md * fix-copies * rename Forecast <-> Prediction * change name of a few parameters to match with PatchTSMixer. * Remove *ForForecasting class to match with other time series models. * make style * Remove PatchTSTForForecasting in the test * remove PatchTSTForForecastingOutput class * change test_forecast_head to test_prediction_head * style * fix docs * fix tests * change num_labels to num_targets * Remove PatchTSTTranspose * remove arguments in PatchTSTMeanScaler * remove arguments in PatchTSTStdScaler * add config as an argument to all the scaler classes * reformat * Add norm_eps for batchnorm and layernorm * reformat. * reformat * edit docstring * update docstring * change variable name pooling to pooling_type * fix output_hidden_states as tuple * fix bug when calling PatchTSTBatchNorm * change stride to patch_stride * create PatchTSTPositionalEncoding class and restructure the PatchTSTEncoder * formatting * initialize scalers with configs * edit output_hidden_states * style * fix forecast_mask_patches doc string --------- Co-authored-by: Gift Sinthong <gift.sinthong@ibm.com> Co-authored-by: Nam Nguyen <namctin@gmail.com> Co-authored-by: Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by: Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by: Wesley Gifford <79663411+wgifford@users.noreply.github.com> Co-authored-by: Wesley M. Gifford <wmgifford@us.ibm.com> Co-authored-by: nnguyen <nnguyen@us.ibm.com> Co-authored-by: Ngoc Diep Do <diiepy@gmail.com> Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Susnato Dhar
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7e9f10ac94
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Add CLVP (#24745)
* init commit * attention arch done except rotary emb * rotary emb done * text encoder working * outputs matching * arch first pass done * make commands done, tests and docs remaining * all tests passed, only docs remaining * docs done * doc-builder fix * convert script removed(not relevant) * minor comments done * added ckpt conversion script * tokenizer done * very minor fix of index.md 2 * mostly make fixup related * all done except fe and rotary emb * very small change * removed unidecode dependency * style changes * tokenizer removed require_backends * added require_inflect to tokenizer tests * removed VOCAB_FILES in tokenizer test * inflect dependency removed * added rotary pos emb cache and simplified the apply method * style * little doc change * more comments * feature extractor added * added processor * auto-regressive config added * added CLVPConditioningEncoder * comments done except the test one * weights added successfull(NOT tested) * tokenizer fix with numbers * generate outputs matching * almost tests passing Integ tests not written * Integ tests added * major CUDA error fixed * docs done * rebase and multiple fixes * fixed rebase overwrites * generate code simplified and tests for AutoRegressive model added * minor changes * refectored gpt2 code in clvp file * weights done and all code refactored * mostly done except the fast_tokenizer * doc test fix * config file's doc fixes * more config fix * more comments * tokenizer comments mostly done * modeling file mostly refactored and can load modules * ClvpEncoder tested * ClvpDecoder, ClvpModel and ClvpForCausalLM tested * integration and all tests passed * more fixes * docs almost done * ckpt conversion refectored * style and some failing tests fix * comments * temporary output fix but test_assisted_decoding_matches_greedy_search test fails * majority changes done * use_cache outputs same now! Along with the asisted_greedy_decoding test fix * more comments * more comments * prepare_inputs_for_generation fixed and _prepare_model_inputs added * style fix * clvp.md change * moved clvpconditionalencoder norms * add model to new index * added tokenizer input_ids_with_special_tokens * small fix * config mostly done * added config-tester and changed conversion script * more comments * comments * style fix * some comments * tokenizer changed back to prev state * small commnets * added output hidden states for the main model * style fix * comments * small change * revert small change * . * Update clvp.md * Update test_modeling_clvp.py * :) * some minor change * new fixes * remove to_dict from FE |
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Yih-Dar
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691fd8fdde
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Add Kosmos-2 model (#24709)
* Add KOSMOS-2 model * update * update * update * address review comment - 001 * address review comment - 002 * address review comment - 003 * style * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix * address review comment - 004 * address review comment - 005 * address review comment - 006 * address review comment - 007 * address review comment - 008 * address review comment - 009 * address review comment - 010 * address review comment - 011 * update readme * fix * fix * fix * [skip ci] fix * revert the change in _decode * fix docstring * fix docstring * Update docs/source/en/model_doc/kosmos-2.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * no more Kosmos2Tokenizer * style * remove "returned when being computed by the model" * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * UTM5 Atten * fix attn mask * use present_key_value_states instead of next_decoder_cache * style * conversion scripts * conversion scripts * conversion scripts * Add _reorder_cache * fix doctest and copies * rename 1 * rename 2 * rename 3 * make fixup * fix table * fix docstring * rename 4 * change repo_id * remove tip * update md file * make style * update md file * put docs/source/en/model_doc/kosmos-2.md to slow * update conversion script * Use CLIPImageProcessor in Kosmos2Processor * Remove Kosmos2ImageProcessor * Remove to_dict in Kosmos2Config * Remove files * fix import * Update conversion * normalized=False * Not using hardcoded values like <image> * elt --> element * Apply suggestion * Not using hardcoded values like </image> * No assert * No nested functions * Fix md file * copy * update doc * fix docstring * fix name * Remove _add_remove_spaces_around_tag_tokens * Remove dummy docstring of _preprocess_single_example * Use `BatchEncoding` * temp * temp * temp * Update * Update * Make Kosmos2ProcessorTest a bit pretty * Update gradient checkpointing * Fix gradient checkpointing test * Remove one liner remove_special_fields * Simplify conversion script * fix add_eos_token * update readme * update tests * Change to microsoft/kosmos-2-patch14-224 * style * Fix doc --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Yoach Lacombe
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cb45f71c4d
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Add Seamless M4T model (#25693)
* first raw commit * still POC * tentative convert script * almost working speech encoder conversion scripts * intermediate code for encoder/decoders * add modeling code * first version of speech encoder * make style * add new adapter layer architecture * add adapter block * add first tentative config * add working speech encoder conversion * base model convert works now * make style * remove unnecessary classes * remove unecessary functions * add modeling code speech encoder * rework logics * forward pass of sub components work * add modeling codes * some config modifs and modeling code modifs * save WIP * new edits * same output speech encoder * correct attention mask * correct attention mask * fix generation * new generation logics * erase comments * make style * fix typo * add some descriptions * new state * clean imports * add tests * make style * make beam search and num_return_sequences>1 works * correct edge case issue * correct SeamlessM4TConformerSamePadLayer copied from * replace ACT2FN relu by nn.relu * remove unecessary return variable * move back a class * change name conformer_attention_mask ->conv_attention_mask * better nit code * add some Copied from statements * small nits * small nit in dict.get * rename t2u model -> conditionalgeneration * ongoing refactoring of structure * update models architecture * remove SeamlessM4TMultiModal classes * add tests * adapt tests * some non-working code for vocoder * add seamlessM4T vocoder * remove buggy line * fix some hifigan related bugs * remove hifigan specifc config * change * add WIP tokenization * add seamlessM4T working tokenzier * update tokenization * add tentative feature extractor * Update converting script * update working FE * refactor input_values -> input_features * update FE * changes in generation, tokenizer and modeling * make style and add t2u_decoder_input_ids * add intermediate outputs for ToSpeech models * add vocoder to speech models * update valueerror * update FE with languages * add vocoder convert * update config docstrings and names * update generation code and configuration * remove todos and update config.pad_token_id to generation_config.pad_token_id * move block vocoder * remove unecessary code and uniformize tospeech code * add feature extractor import * make style and fix some copies from * correct consistency + make fix-copies * add processor code * remove comments * add fast tokenizer support * correct pad_token_id in M4TModel * correct config * update tests and codes + make style * make some suggested correstion - correct comments and change naming * rename some attributes * rename some attributes * remove unecessary sequential * remove option to use dur predictor * nit * refactor hifigan * replace normalize_mean and normalize_var with do_normalize + save lang ids to generation config * add tests * change tgt_lang logic * update generation ToSpeech * add support import SeamlessM4TProcessor * fix generate * make tests * update integration tests, add option to only return text and update tokenizer fast * fix wrong function call * update import and convert script * update integration tests + update repo id * correct paths and add first test * update how new attention masks are computed * update tests * take first care of batching in vocoder code * add batching with the vocoder * add waveform lengths to model outputs * make style * add generate kwargs + forward kwargs of M4TModel * add docstrings forward methods * reformate docstrings * add docstrings t2u model * add another round of modeling docstrings + reformate speaker_id -> spkr_id * make style * fix check_repo * make style * add seamlessm4t to toctree * correct check_config_attributes * write config docstrings + some modifs * make style * add docstrings tokenizer * add docstrings to processor, fe and tokenizers * make style * write first version of model docs * fix FE + correct FE test * fix tokenizer + add correct integration tests * fix most tokenization tests * make style * correct most processor test * add generation tests and fix num_return_sequences > 1 * correct integration tests -still one left * make style * correct position embedding * change numbeams to 1 * refactor some modeling code and correct one test * make style * correct typo * refactor intermediate fnn * refactor feedforward conformer * make style * remove comments * make style * fix tokenizer tests * make style * correct processor tests * make style * correct S2TT integration * Apply suggestions from Sanchit code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct typo * replace torch.nn->nn + make style * change Output naming (waveforms -> waveform) and ordering * nit renaming and formating * remove return None when not necessary * refactor SeamlessM4TConformerFeedForward * nit typo * remove almost copied from comments * add a copied from comment and remove an unecessary dropout * remove inputs_embeds from speechencoder * remove backward compatibiliy function * reformate class docstrings for a few components * remove unecessary methods * split over 2 lines smthg hard to read * make style * replace two steps offset by one step as suggested * nice typo * move warnings * remove useless lines from processor * make generation non-standard test more robusts * remove torch.inference_mode from tests * split integration tests * enrich md * rename control_symbol_vocoder_offset->vocoder_offset * clean convert file * remove tgt_lang and src_lang from FE * change generate docstring of ToText models * update generate docstring of tospeech models * unify how to deal withtext_decoder_input_ids * add default spkr_id * unify tgt_lang for t2u_model * simplify tgt_lang verification * remove a todo * change config docstring * make style * simplify t2u_tgt_lang_id * make style * enrich/correct comments * enrich .md * correct typo in docstrings * add torchaudio dependency * update tokenizer * make style and fix copies * modify SeamlessM4TConverter with new tokenizer behaviour * make style * correct small typo docs * fix import * update docs and add requirement to tests * add convert_fairseq2_to_hf in utils/not_doctested.txt * update FE * fix imports and make style * remove torchaudio in FE test * add seamless_m4t.md to utils/not_doctested.txt * nits and change the way docstring dataset is loaded * move checkpoints from ylacombe/ to facebook/ orga * refactor warning/error to be in the 119 line width limit * round overly precised floats * add stereo audio behaviour * refactor .md and make style * enrich docs with more precised architecture description * readd undocumented models * make fix-copies * apply some suggestions * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * correct bug from previous commit * refactor a parameter allowing to clean the code + some small nits * clean tokenizer * make style and fix * make style * clean tokenizers arguments * add precisions for some tests * move docs from not_tested to slow * modify tokenizer according to last comments * add copied from statements in tests * correct convert script * correct parameter docstring style * correct tokenization * correct multi gpus * make style * clean modeling code * make style * add copied from statements * add copied statements * add support with ASR pipeline * remove file added inadvertently * fix docstrings seamlessM4TModel * add seamlessM4TConfig to OBJECTS_TO_IGNORE due of unconventional markdown * add seamlessm4t to assisted generation ignored models --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Pablo Montalvo
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caa0ff0bf1
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Add fuyu model (#26911)
* initial commit * add processor, add fuyu naming * add draft processor * fix processor * remove dropout to fix loading of weights * add image processing fixes from Pedro * fix * fix processor * add basic processing fuyu test * add documentation and TODO * address comments, add tests, add doc * replace assert with torch asserts * add Mixins and fix tests * clean imports * add model tester, clean imports * fix embedding test * add updated tests from pre-release model * Processor: return input_ids used for inference * separate processing and model tests * relax test tolerance for embeddings * add test for logit comparison * make sure fuyu image processor is imported in the init * fix formattingh * more formatting issues * and more * fixups * remove some stuff * nits * update init * remove the fuyu file * Update integration test with release model * Update conversion script. The projection is not used, as confirmed by the authors. * improve geenration * Remove duplicate function * Trickle down patches to model call * processing fuyu updates * remove things * fix prepare_inputs_for_generation to fix generate() * remove model_input * update * add generation tests * nits * draft leverage automodel and autoconfig * nits * fix dtype patch * address comments, update READMEs and doc, include tests * add working processing test, remove refs to subsequences * add tests, remove Sequence classification * processing * update * update the conversion script * more processing cleanup * safe import * take out ModelTesterMixin for early release * more cl;eanup * more cleanup * more cleanup * and more * register a buffer * nits * add postprocessing of generate output * nits * updates * add one working test * fix test * make fixup works * fixup * Arthur's updates * nits * update * update * fix processor * update tests * passe more fixups * fix * nits * don't import torch * skip fuyu config for now * fixup done * fixup * update * oups * nits * Use input embeddings * no buffer * update * styling processing fuyu * fix test * update licence * protect torch import * fixup and update not doctested * kwargs should be passed * udpates * update the impofixuprts in the test * protect import * protecting imports * protect imports in type checking * add testing decorators * protect top level import structure * fix typo * fix check init * move requires_backend to functions * Imports * Protect types --------- Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: ArthurZucker <arthur.zucker@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Lysandre <lysandre@huggingface.co> |
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NielsRogge
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762af3e3c7
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Add OWLv2, bis (#26668)
* First draft * Update conversion script * Update copied from statements * Fix style * Add copied from to config * Add copied from to processor * Run make fixup * Add docstring * Update docstrings * Add method * Improve docstrings * Fix docstrings * Improve docstrings * Remove onnx * Add flag * Address comments * Add copied from to model tests * Add flag to conversion script * Add code snippet * Address more comments * Address comment * Improve conversion script * More improvements * Add expected objectness logits * Skip test * Improve conversion script * Extend conversion script * Convert large checkpoint * Fix doc tests * Convert all checkpoints, update integration tests * Add checkpoint_path arg * Fix repo_id |
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NielsRogge
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7d6354e047
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Add ViTMatte (#25843)
* First draft * Simplify image processor * Fix rebase * Address comments * Address more comments * Address more comments * Address more comments * Address more comments * Improve pad_image * Add tests * Update integration test * Fix image processor tests * Fix model tests * Convert checkpoints * Fix doc tests * Remove file * Apply suggestions * Address comments * Fix typing hint * Add batch_norm_eps * Address comments * Fix style |
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Jinho Park
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17fdd35481
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Add BROS (#23190)
* add Bros boilerplate * copy and pasted modeling_bros.py from official Bros repo * update copyright of bros files * copy tokenization_bros.py from official repo and update import path * copy tokenization_bros_fast.py from official repo and update import path * copy configuration_bros.py from official repo and update import path * remove trailing period in copyright line * copy and paste bros/__init__.py from official repo * save formatting * remove unused unnecessary pe_type argument - using only crel type * resolve import issue * remove unused model classes * remove unnecessary tests * remove unused classes * fix original code's bug - layer_module's argument order * clean up modeling auto * add bbox to prepare_config_and_inputs * set temporary value to hidden_size (32 is too low because of the of the Bros' positional embedding) * remove decoder test, update create_and_check* input arguemnts * add missing variable to model tests * do make fixup * update bros.mdx * add boilerate plate for no_head inference test * update BROS_PRETRAINED_MODEL_ARCHIVE_LIST (add naver-clova-ocr prefix) * add prepare_bros_batch_inputs function * update modeling_common to add bbox inputs in Bros Model Test * remove unnecessary model inference * add test case * add model_doc * add test case for token_classification * apply fixup * update modeling code * update BrosForTokenClassification loss calculation logic * revert logits preprocessing logic to make sure logits have original shape * - update class name * - add BrosSpadeOutput - update BrosConfig arguments * add boilerate plate for no_head inference test * add prepare_bros_batch_inputs function * add test case * add test case for token_classification * update modeling code * update BrosForTokenClassification loss calculation logic * revert logits preprocessing logic to make sure logits have original shape * apply masking on the fly * add BrosSpadeForTokenLinking * update class name put docstring to the beginning of the file * separate the logits calculation logic and loss calculation logic * update logic for loss calculation so that logits shape doesn't change when return * update typo * update prepare_config_and_inputs * update dummy node initialization * update last_hidden_states getting logic to consider when return_dict is False * update box first token mask param * bugfix: remove random attention mask generation * update keys to ignore on load missing * run make style and quality * apply make style and quality of other codes * update box_first_token_mask to bool type * update index.md * apply make style and quality * apply make fix-copies * pass check_repo * update bros model doc * docstring bugfix fix * add checkpoint for doc, tokenizer for doc * Update README.md * Update docs/source/en/model_doc/bros.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update bros.md * Update src/transformers/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bros.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * apply suggestions from code review * apply suggestions from code review * revert test_processor_markuplm.py * Update test_processor_markuplm.py * apply suggestions from code review * apply suggestions from code review * apply suggestions from code review * update BrosSpadeELForTokenClassification head name to entity linker * add doc string for config params * update class, var names to more explicit and apply suggestions from code review * remove unnecessary keys to ignore * update relation extractor to be initialized with config * add bros processor * apply make style and quality * update bros.md * remove bros tokenizer, add bros processor that wraps bert tokenizer * revert change * apply make fix-copies * update processor code, update itc -> initial token, stc -> subsequent token * add type hint * remove unnecessary condition branches in embedding forward * fix auto tokenizer fail * update docstring for each classes * update bbox input dimension as standard 2 points and convert them to 4 points in forward pass * update bros docs * apply suggestions from code review : update Bros -> BROS in bros.md * 1. box prefix var -> bbox 2. update variable names to be more explicit * replace einsum with torch matmul * apply style and quality * remove unused argument * remove unused arguments * update docstrings * apply suggestions from code review: add BrosBboxEmbeddings, replace einsum with classical matrix operations * revert einsum update * update bros processor * apply suggestions from code review * add conversion script for bros * Apply suggestions from code review * fix readme * apply fix-copies --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Matt
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300d6a4a62
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Remove Falcon from undocumented list (#26008)
Remove falcon from undocumented list |
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NielsRogge
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77713d11f6
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[DINOv2] Add backbone class (#25520)
* First draft * More improvements * Fix all tests * More improvements * Add backbone test * Improve docstring * Address comments * Rename attribute * Remove expected output * Update src/transformers/models/dinov2/modeling_dinov2.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix style --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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NielsRogge
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4c21da5e34
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Add ViTDet (#25524)
* First draft * Fix READMEs * Update return_dict * Add more tests * Fix docstrings * Address comments * Address more comments * Address more comments * Address more comments, fix test * Fix test |
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Pedro Cuenca
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cb8e3ee25f
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Add FlaxCLIPTextModelWithProjection (#25254)
* Add FlaxClipTextModelWithProjection
This is necessary to support the Flax port of Stable Diffusion XL:
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Susnato Dhar
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450a181d8b
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Add Pop2Piano (#21785)
* init commit * config updated also some modeling * Processor and Model config combined * extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested * model loading successful! * feature extractor done! * FE can now be called from HF * postprocessing added in fe file * same as prev commit * Pop2PianoConfig doc done * cfg docs slightly changed * fe docs done * batched * batched working! * temp * v1 * checking * trying to go with generate * with generate and model tests passed * before rebasing * . * tests done docs done remaining others & nits * nits * LogMelSpectogram shifted to FeatureExtractor * is_tf rmeoved from pop2piano/init * import solved * tokenization tests added * minor fixed regarding modeling_pop2piano * tokenizer changed to only return midi_object and other changes * Updated paper abstract(Camera-ready version) (#2) * more comments and nits * ruff changes * code quality fix * sg comments * t5 change added and rebased * comments except batching * batching done * comments * small doc fix * example removed from modeling * ckpt * forward it compatible with fe and generation done * comments * comments * code-quality fix(maybe) * ckpts changed * doc file changed from mdx to md * test fixes * tokenizer test fix * changes * nits done main changes remaining * code modified * Pop2PianoProcessor added with tests * other comments * added Pop2PianoProcessor to dummy_objects * added require_onnx to modeling file * changes * update .md file * remove extra line in index.md * back to the main index * added pop2piano to index * Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too * changes * added return types to 2 tokenizer methods * the PR build test might work now * added backends * PR build fix * vocab added * comments * refactored vocab into 1 file * added conversion script * comments * essentia version changed in .md * comments * more tokenizer tests added * minor fix * tests extended for outputs acc check * small fix --------- Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr> |
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Sylvain Gugger
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16edf4d9fd
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Doc checks (#25408)
* Document check_dummies * Type hints and doc in other files * Document check inits * Add documentation to * Address review comments |
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Tom Aarsen
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79444f370f
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Deprecate unused OpenLlama architecture (#24922)
* Resolve typo in check_repo.py * Specify encoding when opening modeling files * Deprecate the OpenLlama architecture * Add disclaimer pointing to Llama I'm open to different wordings here * Match the capitalisation of LLaMA |
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Yoach Lacombe
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f42a35e611
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Add bark (#24086)
* first raw version of the bark integration * working code on small models with single run * add converting script from suno weights 2 hf * many changes * correct past_kv output * working implementation for inference * update the converting script according to the architecture changes * add a working end-to-end inference code * remove some comments and make small changes * remove unecessary comment * add docstrings and ensure no unecessary intermediary output during audio generation * remove done TODOs * make style + add config docstrings * modification for batch inference support on the whole model * add details to .generation_audio method * add copyright * convert EncodecModel from original library to transformers implementation * add two class in order to facilitate model and sub-models loading from the hub * add support of loading the whole model * add BarkProcessor * correct modeling according to processor output * Add proper __init__ and auto support * Add up-to-date copyright/license message * add relative import instead of absolute * cleaner head_dim computation * small comment removal or changes * more verbose LayerNorm init method * specify eps for clearer comprehension * more verbose variable naming in the MLP module * remove unecessary BarkBlock parameter * clearer code in the forward pass of the BarkBlock * remove _initialize_modules method for cleaner code * Remove unnecessary methods from sub-models * move code to remove unnecessary function * rename a variable for clarity and change an assert * move code and change variable name for clarity * remove unnecessary asserts * correct small bug * correct a comment * change variable names for clarity * remove asserts * change import from absolute to relative * correct small error due to comma missing + correct import * Add attribute Bark config * add first version of tests * update attention_map * add tie_weights and resize_token_embeddings for fineModel * correct getting attention_mask in generate_text_semantic * remove Bark inference trick * leave more choices in barkProcessor * remove _no_split_modules * fixe error in forward of block and introduce clearer notations * correct converting script with last changes * make style + add draft bark.mdx * correct BarkModelTest::test_generate_text_semantic * add Bark in main README * add dummy_pt_objects for Bark * add missing models in the main init * correct test_decoder_model_past_with_large_inputs * disable torchscript test * change docstring of BarkProcessor * Add test_processor_bark * make style * correct copyrights * add bark.mdx + make style, quality and consistency * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Remove unnecessary test method * simply logic of a test * Only check first ids for slow audio generation * split full end-to-end generation tests * remove unneccessary comment * change submodel names for clearer naming * remove ModuleDict from modeling_bark * combine two if statements * ensure that an edge misued won't happen * modify variable name * move code snippet to the right place (coarse instead of semantic) * change BarkSemanticModule -> BarkSemanticModel * align BarkProcessor with transformers paradigm * correct BarkProcessor tests with last commit changes * change _validate_voice_preset to an instance method instead of a class method * tie_weights already called with post_init * add codec_model config to configuration * update bark modeling tests with recent BarkProcessor changes * remove SubModelPretrainedModel + change speakers embeddings prompt type in BarkModel * change absolute imports to relative * remove TODO * change docstrings * add examples to docs and docstrings * make style * uses BatchFeature in BarkProcessor insteads of dict * continue improving docstrings and docs + make style * correct docstrings examples * more comprehensible speaker_embeddings load/Save * rename speaker_embeddings_dict -> speaker_embeddings * correct bark.mdx + add bark to documentation_tests * correct docstrings configuration_bark * integrate last nit suggestions * integrate BarkGeneration configs * make style * remove bark tests from documentation_tests.txt because timeout - tested manually * add proper generation config initialization * small bark.mdx documentation changes * rename bark.mdx -> bark.md * add torch.no_grad behind BarkModel.generate_audio() * replace assert by ValueError in convert_suno_to_hf.py * integrate a series of short comments from reviewer * move SemanticLogitsProcessors and remove .detach() from Bark docs and docstrings * actually remove SemanticLogitsProcessor from modeling_bark.oy * BarkProcessor returns a single output instead of tuple + correct docstrings * make style + correct bug * add initializer_range to BarkConfig + correct slow modeling tests * add .clone() to history_prompt.coarse_prompt to avoid modifying input array * Making sure no extra "`" are present * remove extra characters in modeling_bark.py * Correct output if history_prompt is None * remove TODOs * remove ravel comment * completing generation_configuration_bark.py docstrings * change docstrings - number of audio codebooks instead of Encodec codebooks * change 'bias' docstrings in configuration_bark.py * format code * rename BarkModel.generate_audio -> BarkModel.generate_speech * modify AutoConfig instead of EncodecConfig in BarkConfig * correct AutoConfig wrong init * refactor BarkModel and sub-models generate_coarse, generate_fine, generate_text_semantic * remove SemanticLogitsProcessor and replace it with SuppressTokensLogitsProcessor * move nb_codebook related config arguments to BarkFineConfig * rename bark.mdx -> bark.md * correcting BarkModelConfig from_pretrained + remove keys_to_ignore * correct bark.md with correct hub path * correct code bug in bark.md * correct list tokens_to_suppress * modify Processor to load nested speaker embeddings in a safer way * correct batch sampling in BarkFineModel.generate_fine * Apply suggestions from code review Small docstrings correction and code improvements Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * give more details about num_layers in docstrings * correct indentation mistake * correct submodelconfig order of docstring variables * put audio models in alphabetical order in utils/check_repo.my * remove useless line from test_modeling_bark.py * makes BarkCoarseModelTest inherits from (ModelTesterMixin, GenerationTesterMixin, unittest.TestCase) instead of BarkSemanticModelTest * make a Tester class for each sub-model instead of inheriting * add test_resize_embeddings=True for Bark sub-models * add Copied from transformers.models.gpt_neo.modeling_gpt_neo.GPTNeoSelfAttention._split_heads * remove 'Copied fom Bark' comment * remove unneccessary comment * change np.min -> min in modeling_bark.py * refactored all custom layers to have Bark prefix * add attention_mask as an argument of generate_text_semantic * refactor sub-models start docstrings to have more precise config class definition * move _tied_weights_keys overriding * add docstrings to generate_xxx in modeling_bark.py * add loading whole BarkModel to convert_suno_to_hf * refactor attribute and variable names * make style convert_suno * update bark checkpoints * remove never entered if statement * move bark_modeling docstrings after BarkPretrainedModel class definition * refactor modeling_bark.py: kv -> key_values * small nits - code refactoring and removing unecessary lines from _init_weights * nits - replace inplace method by variable assigning * remove *optional* when necessary * remove some lines in generate_speech * add default value for optional parameter * Refactor preprocess_histories_before_coarse -> preprocess_histories Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * correct usage after refactoring * refactor Bark's generate_xxx -> generate and modify docstrings and tests accordingly * update docstrings python in configuration_bark.py * add bark files in utils/documentation_test.txt * correct docstrings python snippet * add the ability to use parameters in the form of e.g coarse_temperature * add semantic_max_new_tokens in python snippet in docstrings for quicker generation * Reformate sub-models kwargs in BakModel.generate Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * correct kwargs in BarkModel.generate * correct attention_mask kwarg in BarkModel.generate * add tests for sub-models args in BarkModel.generate and correct BarkFineModel.test_generate_fp16 * enrich BarkModel.generate docstrings with a description of how to use the kwargs --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sylvain Gugger
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c21c3737c1
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Add TAPEX to the list of deprecated models (#24859)
* Add TAPEX to the list of deprecated models * Add check * Fix typo * Fix import path for Van conversion |
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Matt
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c0ca73dc98
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Remove Falcon docs for the release until TGI is ready (#24808)
* Remove Falcon docs for the release until TGI is ready * Update toctree |
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Sylvain Gugger
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9342c8fb82
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Deprecate models (#24787)
* Deprecate some models * Fix imports * Fix inits too * Remove tests * Add deprecated banner to documentation * Remove from init * Fix auto classes * Style * Remote upgrade strategy 1 * Remove site package cache * Revert this part * Fix typo... * Update utils * Update docs/source/en/model_doc/bort.md Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> * Address review comments * With all files saved --------- Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |
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Arthur
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799df10aef
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[Umt5] Add google's umt5 to transformers (#24477)
* add tokenization template * update conversion script * update modeling code * update * update convert checkpoint * update modeling * revert changes on convert script * new conversion script for new format * correct position bias * cleaning a bit * Credit co authors Co-authored-by: agemagician <ahmed.elnaggar@tum.de> Co-authored-by: stefan-it <> * styling * Add docq * fix copies * add co author * Other Author * Merge branch 'main' of https://github.com/huggingface/transformers into add-umt5 * add testing * nit * Update docs/source/en/model_doc/umt5.mdx Co-authored-by: Stefan Schweter <stefan@schweter.it> * fix t5 * actual fix? * revert wrong changes * remove * update test * more fixes * revert some changes * add SPIECE_UNDERLINE * add a commone xample * upfate * fix copies * revert changes on t5 conversion script * revert bytefallback changes since there was no addition yet * fixup * fixup * ingore umt5 cutom testing folder * fix readmes * revertT5 changes * same outputs * fixup * update example * Apply suggestions from code review * style * draft addition of all new files * current update * fix attention and stuff * finish refactoring * auto config * fixup * more nits * add umt5 to init * use md format * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * revert changes on mt5 * revert mt4 changes * update test * more fixes * add to mapping * fix-copies * fix copies * foix retain grad * fix some tests * nits * done * Update src/transformers/models/umt5/modeling_umt5.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/en/model_doc/umt5.md * Update src/transformers/models/umt5/__init__.py * Update docs/source/en/model_doc/umt5.md Co-authored-by: Stefan Schweter <stefan@schweter.it> * Update src/transformers/models/umt5/modeling_umt5.py * update conversion script + use google checkpoints * nits * update test and modelling * stash slow convert * update fixupd * don't change slow --------- Co-authored-by: stefan-it <> Co-authored-by: Stefan Schweter <stefan@schweter.it> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yih-Dar
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c817bc44e2
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Check all objects are equally in the main __init__ file (#24573)
* fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Sanchit Gandhi
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1c1c90756d
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Add Musicgen (#24109)
* Add Audiocraft * add cross attention * style * add for lm * convert and verify * introduce t5 * split configs * load t5 + lm * clean conversion * copy from t5 * style * start pattern provider * make generation work * style * fix pos embs * propagate shape changes * propagate shape changes * style * delay pattern: pad tokens at end * audiocraft -> musicgen * fix inits * add mdx * style * fix pad token in processor * override generate and add todos * add init to test * undo pattern delay mask after gen * remove cfg logits processor * remove cfg logits processor * remove logits processor in favour of mask * clean pos embs * make fix copies * update readmes * clean pos emb * refactor encoder/decoder * make fix copies * update conversion * fix config imports * update config docs * make style * send pattern mask to device * pattern mask with delay * recover prompted audio tokens * fix docstrings * laydown test file * pattern edge case * remove t5 ref * add processing class * config refactor * better pattern comment * check if mask is not present * check if mask is not present * refactor to auto class * remove encoder configs * fix processor * processor import * start updating conversion * start updating tests * make style * convert t5, encodec, lm * convert as composite * also convert processor * run generate * classifier free gen * comments and clean up * make style * docs for logit proc * docstring for uncond gen * start lm tests * work tests * let the lm generate * refactor: reshape inside forward * undo greedy loop changes * from_enc_dec -> from_sub_model * fix input id shapes in docstrings * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * undo generate changes * from sub model config * Update src/transformers/models/musicgen/modeling_musicgen.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * make generate work again * generate uncond -> get uncond inputs * remove prefix allowed tokens fn * better error message * logit proc checks * Apply suggestions from code review Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * make decoder only tests work * composite fast tests * make style * uncond generation * feat extr padding * make audio prompt work * fix inputs docstrings * unconditional inputs: dict -> model output * clean up tests * more clean up tests * make style * t5 encoder -> auto text encoder * remove comments * deal with frames * fix auto text * slow tests * nice mdx * remove can generate * todo - hub id * convert m/l * make fix copies * only import generation with torch * ignore decoder from tests * don't wrap uncond inputs * make style * cleaner uncond inputs * add example to musicgen forward * fix docs * ignore MusicGen Model/ForConditionalGeneration in auto mapping * add doc section to toctree * add to doc tests * add processor tests * fix push to hub in conversion * tips for decoder only loading * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix conversion for s / m / l checkpoints * import stopping criteria from module * remove from pipeline tests * fix uncond docstring * decode audio method * fix docs * org: sanchit-gandhi -> facebook * fix max pos embeddings * remove auto doc (not compatible with shapes) * bump max pos emb * make style * fix doc * fix config doc * fix config doc * ignore musicgen config from docstring * make style * fix config * fix config for doctest * consistent from_sub_models * don't automap decoder * fix mdx save audio file * fix mdx save audio file * processor batch decode for audio * remove keys to ignore * update doc md * update generation config * allow changes for default generation config * update tests * make style * fix docstring for uncond * fix processor test * fix processor test --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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868363abb9
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Add InstructBLIP (#23460)
* Squash 88 commits * Use markdown * Remove mdx files due to bad rebase * Fix modeling files due to bad rebase * Fix style * Update comment * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Yih-Dar
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0f968ddaa3
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Check auto mappings could be imported via from transformers (#24400)
* fix * fix * fix * fix * fix * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Sylvain Gugger
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eb849f6604
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Migrate doc files to Markdown. (#24376)
* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |
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amyeroberts
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a717e0318c
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Add TimmBackbone model (#22619)
* Add test_backbone for convnext * Add TimmBackbone model * Add check for backbone type * Tidying up - config checks * Update convnextv2 * Tidy up * Fix indices & clearer comment * Exceptions for config checks * Correclty update config for tests * Safer imports * Safer safer imports * Fix where decorators go * Update import logic and backbone tests * More import fixes * Fixup * Only import all_models if torch available * Fix kwarg updates in from_pretrained & main rebase * Tidy up * Add tests for AutoBackbone * Tidy up * Fix import error * Fix up * Install nattan in doc_test_job * Revert back to setting self._out_xxx directly * Bug fix - out_indices mapping from out_features * Fix tests * Dont accept output_loading_info for Timm models * Set out_xxx and don't remap * Use smaller checkpoint for test * Don't remap timm indices - check out_indices based on stage names * Skip test as it's n/a * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Cleaner imports / spelling is hard --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Eli Simhayev
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4b6a5a7caa
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[Time-Series] Autoformer model (#21891)
* ran `transformers-cli add-new-model-like`
* added `AutoformerLayernorm` and `AutoformerSeriesDecomposition`
* added `decomposition_layer` in `init` and `moving_avg` to config
* added `AutoformerAutoCorrelation` to encoder & decoder
* removed caninical self attention `AutoformerAttention`
* added arguments in config and model tester. Init works! 😁
* WIP autoformer attention with autocorrlation
* fixed `attn_weights` size
* wip time_delay_agg_training
* fixing sizes and debug time_delay_agg_training
* aggregation in training works! 😁
* `top_k_delays` -> `top_k_delays_index` and added `contiguous()`
* wip time_delay_agg_inference
* finish time_delay_agg_inference 😎
* added resize to autocorrelation
* bug fix: added the length of the output signal to `irfft`
* `attention_mask = None` in the decoder
* fixed test: changed attention expected size, `test_attention_outputs` works!
* removed unnecessary code
* apply AutoformerLayernorm in final norm in enc & dec
* added series decomposition to the encoder
* added series decomp to decoder, with inputs
* added trend todos
* added autoformer to README
* added to index
* added autoformer.mdx
* remove scaling and init attention_mask in the decoder
* make style
* fix copies
* make fix-copies
* inital fix-copies
* fix from https://github.com/huggingface/transformers/pull/22076
* make style
* fix class names
* added trend
* added d_model and projection layers
* added `trend_projection` source, and decomp layer init
* added trend & seasonal init for decoder input
* AutoformerModel cannot be copied as it has the decomp layer too
* encoder can be copied from time series transformer
* fixed generation and made distrb. out more robust
* use context window to calculate decomposition
* use the context_window for decomposition
* use output_params helper
* clean up AutoformerAttention
* subsequences_length off by 1
* make fix copies
* fix test
* added init for nn.Conv1d
* fix IGNORE_NON_TESTED
* added model_doc
* fix ruff
* ignore tests
* remove dup
* fix SPECIAL_CASES_TO_ALLOW
* do not copy due to conv1d weight init
* remove unused imports
* added short summary
* added label_length and made the model non-autoregressive
* added params docs
* better doc for `factor`
* fix tests
* renamed `moving_avg` to `moving_average`
* renamed `factor` to `autocorrelation_factor`
* make style
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fix configurations
* fix integration tests
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fixing `lags_sequence` doc
* Revert "fixing `lags_sequence` doc"
This reverts commit
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Alara Dirik
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441658dd6c
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Add focalnet backbone (#23104)
Adds FocalNet backbone to return features from all stages |
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Lingepumpe
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5427250351
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Avoid invalid escape sequences, use raw strings (#22936)
* Avoid invalid escape sequences, use raw strings * Integrate PR feedback |
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Arthur
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474bf508df
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Add Segment Anything Model (SAM) (#22654)
* initial commit * keys match * update, fix conversion * fixes, inference working * fix * more fixes * more fixes * clean up * more clean up * fix copies and add convext copied layer norm * stash * pretty big upfate * cleaning * more cleaning * fixup stuffs * fix copies * fix iinit * update test removing tokenizer * nits * add pretrained * more nits * remove tracking of pipeline * few fixes * update san and conversion script * fix mask decoder and prompt encoder conversion * fixes * small update * fix order * fix * fix image embeddings * nites * few fixes * fix logits * clean up * fixes boxes inference * v1 AMG * clean up * some clean up * multi points support * amg working * fixup * clean up * readme * update toctree * fix type hint * multiple fixes * fixup * fixes * updates * updates * more tests * few fixes * change to `SamForMaskGeneration` * doc * fixup * fix more tests * multiple fixes * fix CI tests * refactor processor * renamings * draft the pipeline * refactor * fix tests * fix test * few cleanings * fix test * edit pipelien support chunking * udate * add slow tests * fix nit * fixup * fix nit * current chunk pipleine * cast boxes in fp32 * nit * current updates * piepleine works * fixup * clean up config * fix slow tests * fix slow tests * clean up * update doc and pipeline * adds more slow tests * fix slow tests * cleaning * tests pass * add docstring * fix copies * clean up * support batch of images * style * dummy is needed, add tests * fix slow tests * fix CI * update * adds more tests * fixes * fixes * fixup * fixes * few fixes * filter * few fixes * some refactor * touches finales * fix * style * remove pipeline files * fixes nits * revert pipeline changes * fix test * fixup * remove automodel for automatic mask generation * fix failing torch tests * update mdx * revert removal of `MODEL_FOR_AUTOMATIC_MASK_GENERATION_MAPPING` * update sam config based on review Co-authored-by: amyeroberts <aeroberts4444@gmail.com> Co-authored-by: sgugger <sylvain.gugger@gmail.com> * update low_resolution_masks -> pred_masks inti ln with layer_norm_eps add_decomposed_rel_pos doc forward doc of SamForMaskGeneration * update processor docstring * remove image processor import empty * update for testing * output vision hidden states + clean recomm also test all iou values * fixup * fixup * remove unused * Update src/transformers/models/sam/modeling_sam.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/sam/image_processing_sam.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * nits * fix * fix CI tests and slow tests * replace with Amy's processor * clearer docstring * add `SamVisionNeck` * refactor - all CI tests should pass * fix broken import on Gcolab * few fixes here and there * fix another bug * fix more bugs * update and merge * correct ckpt * address comments * add tips * revert * fix docstring * replace with `SamModel` * make fixup * add support for bathed images and batch ed points * make fixup this time, really * make fixup again and again * few fixes here and there, this should be the touche finale * Update docs/source/en/model_doc/sam.mdx * fixup * correct checkpoints * correct name * rm unneeded file * add notebook --------- Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: amyeroberts <aeroberts4444@gmail.com> Co-authored-by: sgugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> |
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Matt
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5f3ea66bc0
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Add TF port of BLIP (#22090)
* Initial commit * more stash commit * Yet another stash commit * yet more stash commit * Mostly working except for docs / repo consistency * Stop importing model list from torch file * Add TF BLIP models to docs * Add auto classes * Move get_text_features and get_image_features * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/models/blip/test_modeling_tf_blip_text.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use channels_last convolutions in TF (better performance + compatibility) * Remove _shape function * Move multi-line statement to one line in PT + TF * Specify tf.keras.layers instead of importing from it * Remove test_gradient_checkpointing and empty test_training methods * move some multi-line statements to one line * Update docstring for generate * Remove pruned heads set * Remove self.seq_len_dim * Fixed issues with loss computation, should resolve some tests. Also ensured that the PT version follows the config for output_attentions and output_hidden_states * ensure original model follows config in more cases * Skip the same cross-attention tests in the PT tests - didn't realize we did it twice! * Add training args throughout the models and layers * make fixup * Fix docstring for inputs_embeds * Add docstring for is_decoder * Add docstrings to text models * Remove redundant computation * Add unpack_inputs / keras_serializable * Add modeling_tf_blip to doctests * Add config classes for keras serialization * Changes to allow model porting with pt-to-tf * Quick fix to decoder head and test tweaks * Revert an issue with masking the embeddings outputs * Allow missing keys in some equivalence tests (for unused layers) * Add tf-pt equivalence tests back in * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make fixup * Refactor invert_attention_mask out into tf_utils * Re-enable cross-tests on the PT side too --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Arthur
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19ade2426a
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[WIP]NLLB-MoE Adds the moe model (#22024)
* Initial commit * update modeling code * update doc * add functions necessary * fix impotrs * revert changes * fixup * more styling to get going * remove standalone encoder * update code * styling * fix config and model * update code and some refactoring * make more tests pass * Adding NLLB-200 - MoE - 54.5B for no language left behind Fixes #21300 * fix mor common tests * styke * update testing file * update * update * Router2 doc * update check config with sparse layer * add dummy router * update current conversion script * create on the fly conversion script * Fixup * style * style 2 * fix empty return * fix return * Update default config sparse layers * easier to create sparse layers * update * update conversion script * update modeling * add to toctree * styling * make ruff happy * update docstring * update conversion script * update, will break tests but impelemting top2 * update * ❗local groups are supported here * ⚠️ Support for local groups is now removed ⚠️ This is because it has to work with model parallelism that we do not support * finish simplificaiton * Fix forward * style * fixup * Update modelling and test, refactoring * update tests * remove final layer)norm as it is done in the FF * routing works! Logits test added * nit in test * remove top1router * style * make sure sparse are tested. Had to change route_tokens a liottle bit * add support for unslip models when converting * fixup * style * update test s * update test * REFACTOR * encoder outputs match! * style * update testing * 🎉encoder and decoder logits match 🎉 * styleing * update tests * cleanup tests * fix router test and CIs * cleanup * cleanup test styling * fix tests * Finally the generation tests match! * cleanup * update test * style testing file * remove script * cleanup * more cleanup * nits * update * NLLB tokenizer is wrong and will be fixed soon * use LongTensors * update tests * revert some small changes * fix second expert sampling and batch prioritized routing * update tests * finish last tests * make ruff happy * update * ruff again * style * Update docs/source/en/model_doc/nllb-moe.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updates based on review * style and fix import issue * nit * more nits * cleanup * styling * update test_seconde_expert_policy * fix name * last nit on the markdown examples --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Younes Belkada
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0f68a7f408
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Add Pix2Struct (#21400)
* v1 all keys match * clean up * forward pass ok * add correct image transform * generate works, logits matching * clean up * more refactor * revert * revert * clean up * clean ups * clean up * refactor * refactor * fix doc * fix tokenizer test * fix toctree * revert toctree * oops * few fixes * replace to `pixel_embeds` * make fixup * test processing & feat extractor * fix some tests * more fixes * make fixup * clean up * more clean up * add a single slow test * fix test * make fixup * fix * fix authors * fix toctree * update docs * add docstring * revert change * Update src/transformers/models/pix2struct/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix tokenizer * fix processor test * fix test * make fixup * refactor * fix config * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * format * fix * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * make fixup * add docstring * fix issues * fix * fix * fix * add slow test * fix * fix * fix batched issue * fix training issues * fix ci test * fix slow test * fix conversion script * remove unneeded classes * fix slow test * fix require backends * fix masked fill * revert * fix softmax * add large models support * fix conditional generation * few fixes * add instructions * rm unneeded file * Update src/transformers/models/pix2struct/convert_pix2struct_original_pytorch_to_hf.py * fix ci test * fix ci test really * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix nit * fix nits * fix image processors nits * docstring * clean up * fix nit * fix tests * docstring nit * fix reshape * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix nit * fix repetition * refactor processor * make patch size consistent * refactor forward * fix docstring * fix max_patches issue * update docstirng * update docstring * fix coped from * add skip reasons * few fixes * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * format * fix doctests * refactor and fix * fix doc build issue * fix processor test * small fix conversion script * replace correct weights * make fixup * fix some issues * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * revert config and fixes * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * more details * fixes * fix processor * fix processor test * fix * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * fix processor * Update src/transformers/models/pix2struct/modeling_pix2struct.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add copied * make fixup * fix copies * update docstring * refactor * fix docstring * fix conversion script * fix vqa issue * replace to `flattened_patches` * nit * fix numpy issue * fix image processors * add batched vqa support * fix vqa conversion * make fixup * fix conversion script * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * add correct docstring * update docstring * fix module level + channel dim * use `make_list_of_images` * refactor * correct docstring * fix authors * remove `data_format` * add header text test * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * add checkpoints --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Jason Phang
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0041be5b3d
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LLaMA Implementation (#21955)
* LLaMA * sharding and docs * tweak * black * inits * ruff * LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP * init * no checkpoint * docs * ruff * type_vocab_size * tokenizer fixes * tokenizer fixes * Update tokenization_llama.py * Update tokenization_llama.py * Update configuration_llama.py * Update modeling_llama.py * tokenizer add_bos by default * licenses * remove decoder * norms and mlp * rope overhaul * tweaks * black * mention OPT implementation * off-by-one naming * typo * fix * tokenization fix and slicing bug * padding config * cleanup * black * update tests * undo typo * fix vocab caching logic * ruff * docbuilder * attn fix from BlackSamorez * initial feedback * typo * docs * llama case * llama case * load checkpoint docs * comment about tokenizer * tokenizer defaults * clear past_key_values if use_cache=False * last tweaks * last tweaks * last tweaks * last tweaks --------- Co-authored-by: Stella Biderman <stellabiderman@gmail.com> |
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Alara Dirik
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cdddfbffa1
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Add ConvNeXT V2 (#21679)
* Add ConvNeXt V2 to transformers * TF model is separated from the PR to fix issues |
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wangpeng
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102b5ff4a8
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add new model of MGP-STR (#21418)
* add new model of MGP-STR * fix the check failings * remove torch and numpy from mgp_tokenization * remove unused import from modeling_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str.py * add test_processing_mgp_str * add test_processing_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str and add softmax outs to model * rm test_processing_mgp_str and add softmax outs to model * rewrite the code of mgp-str according to PR suggestions * rewrite the code of mgp-str according to PR suggestions * add new model of MGP-STR * fix the check failings * remove torch and numpy from mgp_tokenization * remove unused import from modeling_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str.py * add test_processing_mgp_str * add test_processing_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str and add softmax outs to model * rewrite the code of mgp-str according to PR suggestions * rewrite the code of mgp-str according to PR suggestions * remove representation_size from MGPSTRConfig * reformat configuration_mgp_str.py * format test_processor_mgp_str.py * add test for tokenizer and complete model/processer test and model file * rm Unnecessary tupple in modeling_mgp_str * reduce hidden_size/layers/label_size in test_model * add integration tests and change MGPSTR to Mgpstr * add test for logit values * reformat test model file --------- Co-authored-by: yue kun <yuekun.wp@alibaba-inc.com> |
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Anahita Bhiwandiwalla
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de81adf978
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[WIP] Add BridgeTowerForContrastiveLearning (#21964)
* Add BridgeTower for ITC * Fix review feedback * Rename BridgeTowerForITC, cleanup * Fix style and quality * implement tests --------- Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com> Co-authored-by: Tiep Le <tiep.le@intel.com> |
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Eli Simhayev
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8abe4930d3
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[Time-Series] informer model (#21099)
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask 😃 * Revert "remove unused libs for this PR for creating the env" This reverts commit |
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Yih-Dar
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8c40ba73d8
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Avoid failure in check_repo.py due to missing backends (#21930)
* Update utils/check_repo.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update utils/check_repo.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yih-Dar
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02a77fa04c
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Cleanup more auto mapping names (#21909)
* fix auto 2 * fix auto 2 * fix task guide issue * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Yih-Dar
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99ba36e72f
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Clean up auto mapping names (#21903)
* add new test * fix after new test --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Alara Dirik
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269b054939
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Add ALIGN to transformers (#21741)
Adds the ALIGN model to transformers. ALIGN is introduced in "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" by Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig. |
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Matt
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f7c618e3b0
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Add TFVisionTextDualEncoder (#21873)
* Temporary commit to stash everything so far * Temporary commit to stash everything so far * stash commit * Refactor from_pretrained * Fix final test, make fixup * Update dummies * Add model to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Add TFVisionTextDualEncoder to utils/documentation_tests.txt * make fixup --------- Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> |
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Aaron Gokaslan
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5e8c8eb5ba
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Apply ruff flake8-comprehensions (#21694) | ||
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Yih-Dar
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ed6ceb7649
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Fix typo in PROCESSOR_MAPPING_NAMES and add tests (#21703)
* Add test * Fix GITProcessor * Update --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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tanreinama
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f56174ac5b
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add GPTSAN model (reopen) (#21291)
* add GPTSAN-Japanese * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN (update for review) * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * fix typo in comment text * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * fix document and comments * fix class name GPTSAN->GPTSan * fix import and test for tokenizer |
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Andy Ehrenberg
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2840272c5f
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add flax whisper implementation (#20479)
* add flax whisper implementation * rever change to setup * remove unused imports * revert generation changes * flax whisper docs * docs * import order * import sorting * isort * add dummy objects * doc formatting * formatting * remove trailing whitespaces * fix flax whisper docs * add generation logic to unlock flax whisper * remove scans * give credits to Flax Bart implementation * remove unused imports * add license * remove assert * more credits to Bart * fix style * formatting * support left padding * add flax whisper generation test * remove copied from comments whenever not a full copy * fix docstrings for logits processors * revert change to FlaxForceTokensLogitsProcessor * revert doc changes * improve generation docs * reorganize * formatting * cleanup docs * add tests * handle empty list case * fix forced decoder ids in flax tests * add flax whisper to inits * upate dummy objects * docs for FlaxAutoModelForSpeechSeq2Seq * fix decoder_position_ids computation in pretrained model decode/__call__ fns * add Copied from statements as necessary * compute position_ids only in __call__ and decode methods of pretrained model subclasses * improve readabilityof compute positional embeddings * check dimensionality of input_features instead of hidden_states * copied from statement for init_cache * formatting * fix copies * fix copies * pass attention mask to encoder layers * fix decoder module outputs * set dtype Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * smaller flax model for whisper test * Update src/transformers/generation/flax_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/whisper/test_modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * cleanup Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * bias cleanup * doc fix * align style for force tokens processor * readability * fix input shape in tests * revert FlaxGenerationMixin docstring * formatting * fix tests * fix imports * consistent encoder hidden states * consistent hidden states * input shapes * typo * partial class trick * partial class for input shape * base_class with correct input shape * partial base classes * match by name * set main_input_name * compare on names * formatting * remove unused import * safer position ids computation * safer position id computation * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * remove identical inherited tests * fix prompt ids in tests * use generation config * use jnp array * better var names * more explicit bias use * import transformers * formatting * test formatting * remove unused imports * remove unused imports * formatting * isort * docs * fix ln orders for encoder hidden states * whisper unique generation stuff * flake * use finfo for attention bias * docs * Update src/transformers/generation/flax_utils.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * docs * add timestamp flax test * jit for timestamps * formatting * clean up timestamps processor * formatting * remove if_true * cleanup --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Arthur
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c236a62172
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[CLAP] Add CLAP to the library (#21370)
* add model like clip * update * text model ok * clap text works * some refactor - `CLAPVision` to `CLAPAudio` - refactor kwargs of audio modules * more refactor * more refactor * more refactor * correct fusion * more refactor * new modules * add basic processor * fixup * remove whisper copioed from * audio logits match * add doc * correct filters mel and add maxlength * style * few fixes * forward passes * fixup * fixup * some clean up * remove mels form the dictionnary * pad after the repeat * update padding when dsmaller * fix padding * style * use swin patch merging * use copied from swin * processor with any tokenizer * more copied from * some clean up * more refactor * fix mel when rand_trunc * style * remove unused imports * update processing * remove image processing tests * add testing fiel * fixmodeling issues * replace with `is_longer` * clap in serialization * more refactor * `make fixup` * make fixup * fix feature extractor * update test feature extractor * `make fixup` * clean up config * more clean up * more cleanup * update tests * refactor tests and inits * removeCLAP vision config * remove CLAP from image procssing auto and dummy vision objects * update inits * style * re order classes in modeling clap * Use roberta tokenizer as the other weights are not open sourced * small cleaup * remove tokenization CLAP * processor tokenizr is roberta * update feature extraction doc * remove vclap from model zero shot * update f_min and f_max to frequency_xx * some changes - fix modeling keys - add `is_longer` in the forward pass - make fixup * make fixup * consistent behavior ebtween rand_crop and fusion * add numpy resize and bilinear and documentation * move resizing to image utils * clean feature extraction * import resize from correct file * resize in image transforms * update * style * style * nit * remove unused arguments form the feature extractor * style * few fixes + make fixup * oops * fix more tests * add zero shot audio classification pipeline * update zeroshot classification pipeline * fixup * fix copies * all CI tests pass * make fixup + fix docs * fix docs * fix docs * update tests pip;eline * update zero shot pipeline * update feature extraction clap * update tokenization auto * use nested simplify * update pipeline tests * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * split in two lines * fixes * refactor * clean up * add integration tests * update config docstring * style * update processor * fix processor test * fix feat extractor tests * update docs * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix readmes * fix tips * Update src/transformers/models/auto/configuration_auto.py * update doc and remove todo -> properly explained * fix idx and typo * typoe * cleanup config * cleanup tests, styles and doc * ignore docstyle on image transform * add conversion script * remove the `clap` indx in favor of `CLAP` * update __init * nits * Update src/transformers/pipelines/__init__.py * fix bug * clarifiy config * fix copy * fix init * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model output * fix comment * make fixup * make fixup * rename to `Clap` * replace to `Clap` * replace to `Clap` * repo consistency * again repo-consistency * make fixup * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add config * changes * update conversion * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * remove unused function * update based on code reviews * style * more comments * cleanup * clean up * style * apply suggestions * Empty commit * pipeline will be added in a different PR * update calls to audio utils functions * update pipeline init * style * style * styling again * use pad * fix repo-consistency * update utils and add doc for audio utils * clean up resize by using torch. update inits accordingly * style * CLap's tokenizer is RobertA * add audio utils to internal toctreee * update totctree * style * update documentation and normalize naming accross audio utils and feature extraction clap * style * clean up * update doc and typos * fix doctest * update modelin code, got rid of a lot of reshaping * style on added doc audio utils * update modeling clap * style * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * docstringvariables with CLAP * rename key * update modeling CLAP * update audio utils docstring * update processing clap * fix readmes * fix toctree * udpate configuration clap * fix init * make fixup * fix * fix * update naming * update * update checkpoint path * Apply suggestions from code review * Major refactoring * Update src/transformers/models/clap/configuration_clap.py * merge --------- Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Connor Henderson
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0f96c26de6
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refactor: Make direct_transformers_import util (#21652)
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string |
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Sylvain Gugger
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9d1116e995
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Update deprecated load_module (#21651) | ||
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Zineng Tang
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a0e69a9375
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Add TVLT (#20725)
* Update image_processing_tvlt.py * Update modeling_tvlt.py * Update * Update modeling_tvlt.py * Create tvlt.mdx * Update configuration_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update image_processing_tvlt.py * Update feature_extraction_tvlt.py * Update tvlt models * Update tests * Update * Update * Update tests * Update README_ko.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update tvlt.mdx * Update modeling_tvlt.py * Update configuration_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Add files via upload * Update model * Update modeling_tvlt.py * Update tvlt models * Update src/transformers/models/tvlt/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add files via upload * Add files via upload * Delete modeling_tvlt.py * Delete feature_extraction_tvlt.py * Delete configuration_tvlt.py * Delete image_processing_tvlt.py * Delete processing_tvlt.py * Update tvlt * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README_es.md * Update README_hd.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update README_zh-hant.md * Update index.mdx * Update tvlt.mdx * Update tvlt.mdx * Update configuration_tvlt.py * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update modeling_tvlt.py * Add files via upload * Update tvlt.mdx * Update modeling_auto.py * Add files via upload * Add files via upload * Update dummy_pt_objects.py * Update __init__.py * Update feature_extraction_tvlt.py * Update feature_extraction_tvlt.py * Update image_processing_tvlt.py * Update modeling_auto.py * Update test_feature_extraction_tvlt.py * Update test_processor_tvlt.py * Update test_feature_extraction_tvlt.py * Add files via upload * Update test_image_processor_tvlt.py * Update tests/models/tvlt/test_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update feature_extraction_tvlt.py * Update feature_extraction_tvlt.py * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update image_processing_tvlt.py * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update test_image_processor_tvlt.py * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add files via upload * Add files via upload * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Add files via upload * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update image_processing_tvlt.py * Add files via upload * Add files via upload * Update tvlt.mdx * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Add files via upload * Add files via upload * Add files via upload * Add files via upload * Update modeling_auto.py * Update tvlt.mdx * Update dummy_pt_objects.py * Update feature_extraction_tvlt.py * Update modeling_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_image_processor_tvlt.py * Update test_feature_extraction_tvlt.py * Update modeling_tvlt.py * Update dummy_pt_objects.py * Update dummy_speech_objects.py * Add files via upload * Update README_hd.md * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update MAE processing * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling * Update style * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update check_repo.py * Update tvlt.mdx * Update __init__.py * Update tests * Update tvlt models * Update configuration_tvlt.py * Update configuration_tvlt.py * Update image_processing_tvlt.py * Update dummy_pt_objects.py * Add files via upload * Update test_modeling_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Susnato Dhar
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0c9c8472e6
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Add Ernie-M Model to huggingface (#21349)
* config and tokenization(fast too) changed and ErnieEncoder added * Slow Tokenization Added * Tokenizer(slow) is now working and Fast Tokenizer removed * Added Config code * Added Base Model and utils * ErnieMModel is now working * All added except tests * All tests passed except ErnieUIEM * All tests passed * all fixes done * all fixes done * fixed MAP * fixed check_code_quality * fixed Build PR Documentation issue * Added changes(comments) and also updated to the latest upstream/main * Added fixup * Added # Copied comments * Added fixup * Added more comments and some nits * Added fixup * Fixed README_hd.md * Added more fixes * ErnieMTokenizer (being sentencepiece) protected and other docs edited * Added code_quality fix * Fixed for * Added more fix * modified AZ * ernie-m tokenization test added! * attention mask part fixed(with 0->self.config.pad_token_id) * applied make fixup |
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NielsRogge
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d7f1e7c009
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Add BLIP-2 (#21441)
* First draft * More improvements * More improvements * Improve conversion script * Convert all weights * Make forward pass work * Make logits match * More improvements * More improvements * More improvements * Use get_input_embeddings * Improve some more * Improve model tests * Improve model tests * More improvements * Fix processor * Update files * Update prepare_inputs_for_generation * More improvements * Fix copies * More fixes * Make fixup * More improvements * Add support for seq2seq language model * More improvements * Fix test * More improvements * Improve conversion script * Remove some todo's * Fix README's * Improve conversion script * Fix generation * Fix style and remove Blip2Model * Fix model outputs * More improvements * Set eos_token_id in config * Fix quality * Small improvements * Add processor tests * More improvements * Apply suggestions * Apply suggestions * Add integration test * Update image URL * Add integration test * Fix model_type * Update style * Improve docs * Add doc tests * Fix copies * Remove tests which are passing * Improve some more * Add tests for seq2seq language models * Minor fix * Convert more checkpoints * finalize CI * Fix blip and blip2 processors * add `accelerate` support for `blip2` * clean up * make style * Update conversion script * Update conversion script some more * Update organization * revert toc file * add blip-2 to toc file * Some more improvements * Fix docstring * Improve docs --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: younesbelkada <younesbelkada@gmail.com> |
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Sylvain Gugger
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6f79d26442
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Update quality tooling for formatting (#21480)
* Result of black 23.1 * Update target to Python 3.7 * Switch flake8 to ruff * Configure isort * Configure isort * Apply isort with line limit * Put the right black version * adapt black in check copies * Fix copies |
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Matthijs Hollemans
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e4bacf6614
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[WIP] add SpeechT5 model (#18922)
* make SpeechT5 model by copying Wav2Vec2 * add paper to docs * whoops added docs in wrong file * remove SpeechT5Tokenizer + put CTC back in the name * remove deprecated class * remove unused docstring * delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead * remove classes we don't need right now * initial stab at speech encoder prenet * add more speech encoder prenet stuff * improve SpeechEncoderPrenet * add encoder (not finished yet) * add relative position bias to self-attention * add encoder CTC layers * fix formatting * add decoder from BART, doesn't work yet * make it work with generate loop * wrap the encoder into a speech encoder class * wrap the decoder in a text decoder class * changed my mind * changed my mind again ;-) * load decoder weights, make it work * add weights for text decoder postnet * add SpeechT5ForCTC model that uses only the encoder * clean up EncoderLayer and DecoderLayer * implement _init_weights in SpeechT5PreTrainedModel * cleanup config + Encoder and Decoder * add head + cross attention masks * improve doc comments * fixup * more cleanup * more fixup * TextDecoderPrenet works now, thanks Kendall * add CTC loss * add placeholders for other pre/postnets * add type annotation * fix freeze_feature_encoder * set padding tokens to 0 in decoder attention mask * encoder attention mask downsampling * remove features_pen calculation * disable the padding tokens thing again * fixup * more fixup * code review fixes * rename encoder/decoder wrapper classes * allow checkpoints to be loaded into SpeechT5Model * put encoder into wrapper for CTC model * clean up conversion script * add encoder for TTS model * add speech decoder prenet * add speech decoder post-net * attempt to reconstruct the generation loop * add speech generation loop * clean up generate_speech * small tweaks * fix forward pass * enable always dropout on speech decoder prenet * sort declaration * rename models * fixup * fix copies * more fixup * make consistency checker happy * add Seq2SeqSpectrogramOutput class * doc comments * quick note about loss and labels * add HiFi-GAN implementation (from Speech2Speech PR) * rename file * add vocoder to TTS model * improve vocoder * working on tokenizer * more better tokenizer * add CTC tokenizer * fix decode and batch_code in CTC tokenizer * fix processor * two processors and feature extractors * use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2 * cleanup * more cleanup * even more fixup * notebooks * fix log-mel spectrograms * support reduction factor * fixup * shift spectrograms to right to create decoder inputs * return correct labels * add labels for stop token prediction * fix doc comments * fixup * remove SpeechT5ForPreTraining * more fixup * update copyright headers * add usage examples * add SpeechT5ProcessorForCTC * fixup * push unofficial checkpoints to hub * initial version of tokenizer unit tests * add slow test * fix failing tests * tests for CTC tokenizer * finish CTC tokenizer tests * processor tests * initial test for feature extractors * tests for spectrogram feature extractor * fixup * more fixup * add decorators * require speech for tests * modeling tests * more tests for ASR model * fix imports * add fake tests for the other models * fixup * remove jupyter notebooks * add missing SpeechT5Model tests * add missing tests for SpeechT5ForCTC * add missing tests for SpeechT5ForTextToSpeech * sort tests by name * fix Hi-Fi GAN tests * fixup * add speech-to-speech model * refactor duplicate speech generation code * add processor for SpeechToSpeech model * add usage example * add tests for speech-to-speech model * fixup * enable gradient checkpointing for SpeechT5FeatureEncoder * code review * push_to_hub now takes repo_id * improve doc comments for HiFi-GAN config * add missing test * add integration tests * make number of layers in speech decoder prenet configurable * rename variable * rename variables * add auto classes for TTS and S2S * REMOVE CTC!!! * S2S processor does not support save/load_pretrained * fixup * these models are now in an auto mapping * fix doc links * rename HiFiGAN to HifiGan, remove separate config file * REMOVE auto classes * there can be only one * fixup * replace assert * reformat * feature extractor can process input and target at same time * update checkpoint names * fix commit hash |
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NielsRogge
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5451f8896c
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Add DETA (#20983)
* First draft * Add initial draft of conversion script * Convert all weights * Fix config * Add image processor * Fix DetaImageProcessor * Run make fix copies * Remove timm dependency * Fix dummy objects * Improve loss function * Remove conv_encoder attribute * Update conversion scripts * Improve postprocessing + docs * Fix copied from statements * Add tests * Improve postprocessing * Improve postprocessing * Update READMEs * More improvements * Fix rebase * Add is_torchvision_available * Add torchvision dependency * Fix typo and README * Fix bug * Add copied from * Fix style * Apply suggestions * Fix thanks to @ydshieh * Fix another dependency check * Simplify image processor * Add scipy * Improve code * Add threshold argument * Fix bug * Set default threshold * Improve integration test * Add another integration test * Update setup.py * Address review * Improve deformable attention function * Improve copied from * Use relative imports * Address review * Replace assertions * Address review * Update dummies * Remove dummies * Address comments, update READMEs * Remove custom kernel code * Add image processor tests * Add requires_backends * Add minor comment * Update scripts * Update organization name * Fix defaults, add doc tests * Add id2label for object 365 * Fix tests * Update task guide |
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Anahita Bhiwandiwalla
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3a6e4a221c
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Add BridgeTower model (#20775)
* Commit with BTModel and latest HF code * Placeholder classes for BTForMLM and BTForITR * Importing Bert classes from transformers * Removed objectives.py and dist_utils.py * Removed swin_transformer.py * Add image normalization, BridgeTowerForImageAndTextRetrieval * Add center_crop * Removing bert tokenizer and LCI references * Tested config loading from HF transformers hub * Removed state_dict updates and added path to hub * Enable center crop * Getting image_size from config, renaming num_heads and num_layers * Handling max_length in BridgeTowerProcessor * Add BridgeTowerForMaskedLM * Add doc string for BridgeTowerConfig * Add doc strings for BT config, processor, image processor * Adding docs, removed swin * Removed convert_bridgetower_original_to_pytorch.py * Added doc files for bridgetower, removed is_vision * Add support attention_mask=None and BridgeTowerModelOutput * Fix formatting * Fixes with 'make style', 'make quality', 'make fixup' * Remove downstream tasks from BridgeTowerModel * Formatting fixes, add return_dict to BT models * Clean up after doc_test * Update BTModelOutput return type, fix todo in doc * Remove loss_names from init * implement tests and update tuples returned by models * Add image reference to bridgetower.mdx * after make fix-copies, make fixup, make style, make quality, make repo-consistency * Rename class names with BridgeTower prefix * Fix for image_size in BTImageProcessor * implement feature extraction bridgetower tests * Update image_mean and image_std to be list * remove unused import * Removed old comments * Rework CLIP * update config in tests followed config update * Formatting fixes * Add copied from for BridgeTowerPredictionHeadTransform * Update bridgetower.mdx * Update test_feature_extraction_bridgetower.py * Update bridgetower.mdx * BridgeTowerForMaskedLM is conditioned on image too * Add BridgeTowerForMaskedLM * Fixes * Call post_init to init weights * Move freeze layers into method * Remove BTFeatureExtractor, add BT under multimodal models * Remove BTFeatureExtractor, add BT under multimodal models * Code review feedback - cleanup * Rename variables * Formatting and style to PR review feedback * Move center crop after resize * Use named parameters * Style fix for modeling_bridgetower.py * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Rename config params, copy BERT classes, clean comments * Cleanup irtr * Replace Roberta imports, add BTTextConfig and Model * Update docs, add visionconfig, consistent arg names * make fixup * Comments for forward in BTModel and make fixup * correct tests * Remove inconsistent roberta copied from * Add BridgeTowerTextModel to dummy_pt_objects.py * Add BridgeTowerTextModel to IGNORE_NON_TESTED * Update docs for BT Text and Vision Configs * Treat BridgeTowerTextModel as a private model * BridgeTowerTextModel as private * Run make fix-copies * Adding BTTextModel to PRIVATE_MODELS * Fix for issue with BT Text and Image configs * make style changes * Update README_ja.md Add から to BridgeTower's description * Clean up config, .mdx and arg names * Fix init_weights. Remove nn.Sequential * Formatting and style fixes * Re-add tie_word_embeddings in config * update test implementation * update style * remove commented out * fix style * Update README with abs for BridgeTower * fix style * fix mdx file * Update bridgetower.mdx * Update img src in bridgetower.mdx * Update README.md * Update README.md * resolve style failed * Update _toctree.yml * Update README_ja.md * Removed mlp_ratio, rename feats, rename BTCLIPModel * Replace BTCLIP with BTVisionModel,pass in vision_config to BTVisionModel * Add test_initialization support * Add support for output_hidden_states * Update support for output_hidden_states * Add support for output_attentions * Add docstring for output_hidden_states * update tests * add bridgetowervisionmodel as private model * rerun the PR test * Remove model_type, pass configs to classes, renames * Change self.device to use weight device * Remove image_size * Style check fixes * Add hidden_size and num_hidden_layers to BridgeTowerTransformer * Update device setting * cosmetic update * trigger test again * trigger tests again * Update test_modeling_bridgetower.py trigger tests again * Update test_modeling_bridgetower.py * minor update * re-trigger tests * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove pad, update max_text_len, doc cleanup, pass eps to LayerNorm * Added copied to, some more review feedback * make fixup * Use BridgeTowerVisionEmbeddings * Code cleanup * Fixes for BridgeTowerVisionEmbeddings * style checks * re-tests * fix embedding * address comment on init file * retrigger tests * update import prepare_image_inputs * update test_image_processing_bridgetower.py to reflect test_image_processing_common.py * retrigger tests Co-authored-by: Shaoyen Tseng <shao-yen.tseng@intel.com> Co-authored-by: Tiep Le <tiep.le@intel.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com> |
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Clémentine Fourrier
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87208a05af
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Graphormer model for Graph Classification (#20968)
* [FT] First commit for graphormer architecture. The model has no tokenizer, as it uses a collator and preprocessing function for its input management. Architecture to be tested against original one. The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read. TODO: doc * [FIX] removed test model * [FIX] import error * [FIX] black and flake * [DOC] added paper refs * [FIX] [DOC] * [FIX] black * [DOC] Updated READMEs * [FIX] Order of imports + rm Tokenizer calls * [FIX] Moved assert in class to prevent doc build failure * [FIX] make fix-copies * [Doc] update from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [FIX] Removed Graphormer from Sequence classification model list * [DOC] Added HF copyright to Cython file * [DOC] Fixed comments * [FIX] typos in class doc + removed config classes. Todo: update doc from paper definitions * [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management * [FIX] Homogeneized initialization of weights to pretrained constructor * [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation * [DOC] Relevant parameter description in the configuration file * [DOC] Updated doc and comments in main graphormer file * [FIX] make style and quality checks * [DOC] Fix doc format * [FIX] [WIP] Updated part of the tests, though still a wip * [FIX] [WIP] * [FIX] repo consistency * [FIX] Changed input names for more understandability * [FIX] [BUG] updated num_classes params for propagation in the model * simplified collator * [FIX] Updated tests to follow new naming pattern * [TESTS] Updated test suite along with model * |FIX] rm tokenizer import * [DOC] add link to graphormerdoc * Changed section in doc from text model to graph model * Apply suggestions from code review Spacing, inits Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [DOC] Explain algos_graphormer functions * Cython soft import protection * Rm call to Callable in configuration graphormer * [FIX] replaced asserts with Exceptions * Add org to graphormer checkpoints * Prefixed classes with Graphormer * Management of init functions * format * fixes * fix length file * update indent * relaunching ci * Errors for missing cython imports * fix style * fix style doc Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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4ed89d48ab
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Add UperNet (#20648)
* First draft * More improvements * Add convnext backbone * Add conversion script * Add more improvements * Comment out to_dict * Add to_dict method * Add default config * Fix config * Fix backbone * Fix backbone some more * Add docs, auto mapping, tests * Fix some tests * Fix more tests * Fix more tests * Add conversion script * Improve conversion script * Add support for getting reshaped undownsampled hidden states * Fix forward pass * Add print statements * Comment out set_shift_and_window_size * More improvements * Correct downsampling layers conversion * Fix style * First draft * Fix conversion script * Remove config attribute * Fix more tests * Update READMEs * Update ConvNextBackbone * Fix ConvNext tests * Align ConvNext with Swin * Remove files * Fix index * Improve docs * Add output_attentions to model forward * Add backbone mixin, improve tests * More improvements * Update init_weights * Fix interpolation of logits * Add UperNetImageProcessor * Improve image processor * Fix image processor * Remove print statements * Remove script * Update import * Add image processor tests * Remove print statements * Fix test * Add integration test * Add convnext integration test * Update docstring * Fix README * Simplify config * Apply suggestions * Improve docs * Rename class * Fix test_initialization * Fix import * Address review * Fix confg * Convert all checkpoints * Fix default backbone * Usage same processor as segformer * Apply suggestions * Fix init_weights, update conversion scripts * Improve config * Use Auto API instead of creating a new image processor * Fix docs * Add doctests * Remove ResNetConfig dependency * Add always_partition argument * Fix rebaseé * Improve docs * Convert checkpoints Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain> |
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Sujay
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15e17c99f9
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Remove T5 dependency from mT5 model (#20949)
make mt5 independent from t5 |
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Jongjyh
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ce85686a1f
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Add AltCLIP (#20446)
* add altclip * update * fix wrong title * fix the copyright in readme * add altclip model * add altclip * fix test_gradient_checkpointing_enable_disable * code * add return class * add projection_state * "fix pretrained model bug" * delete print and fix 2 test instances. * delete token * rm xlmr * one model one file. * empty commit to trigger CI * Fix modeling_outputs.py * Fix __init__ * Fix quality * Fix modeling file docstring * Fix README.md * Fix test file * add vision model * empty commit to trigger CI * fix * fix * fix * fix * fix * fix * fix * fix * fix * del token in mdx file * fix * fix * fix * remove altrob from test list * add vision test * fix fx * fix * fix * fix * trigger CI * fix copies * fix tests * fix style * fix quality * update * recover import * recover * add , * recover * fix copies * trigger CI * fix * some of review * update * remove import * last 2 * fix * fix style * fix style * fix bug * fix uncomment * fix * update * fix * second review * empty commit to trigger CI * empty commit to trigger CI * fix position * fix * empty commit to trigger CI * empty commit to trigger CI * third comment * Update docs/source/en/model_doc/altclip.mdx Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update docs/source/en/model_doc/altclip.mdx Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/configuration_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/modeling_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/processing_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/modeling_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * fix merge * fix copies * update * update * empty commit to trigger CI * fix code example * empty commit to trigger CI * fix * empty commit to trigger CI * empty commit to trigger CI Co-authored-by: shunxing1234 <xw747777271@gmail.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: shunxing1234 <33774367+shunxing1234@users.noreply.github.com> Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> |
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NielsRogge
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9c6f7485a6
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Add GIT (GenerativeImage2Text) (#20295)
* First draft * Make model instantiation work * Fix copied from statement * More fixes * Add correct output head * Improve configuration * Add conversion script * Improve conversion script * Remove token_type_ids * Fix conversion of projection layers * Convert all weights * Use cats image * Make logits match * Generate caption on cats image * Add GITProcessor * Update conversion script * Add support for more checkpoints * Fix conversion script * Add initial tests * Remove cross-attention * More improvements * Remove is_decoder * Improve model tests * Improve tests * Improve model outputs * Fix model outputs equivalence * Fix more tests * Remove unused code * Use generate to generate text, no use of cache for now * Use generate more appropriately * Fix config tests * Fix style * Add support for use_cache Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Fix style * Fix GIT vision encoder * Update README * Fix integration test * Set bos and eos token ids * Improve docs * Improve code * Add support for provided attention_mask * Add copied from statement * Fix gradient checkpointing test * Set model_input_names * Investigate model_input_names * Remove script * Fix model inputs * Fix docstring * Rename GIT to Git * Support more models * Add support for textvqa model * Add video support * Extend conversion script for video * Add support for large variant * Add support for more models * Fix config archive map * Update integration test * Fix README * Fix CLIP mean and std * Update processor * Fix use_cache for video, thanks @gante * Remove print statements * Remove assertion * Add processor tests * Fix model_input_names * Use Auto API for processor * Fix processor tests * Fix integration test * Fix pipeline test * Make tests faster * Update conversion script * Update conversion script * Convert more checkpoints * Update conversion script * Fix typo * Update docstrings * Improve code snippets * Fix doc tests * Add more code examplesé * Fix doc tests * Add integration tests * Fix unused variable * revert * Add GIT to Japanese README Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Younes Belkada
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0d284bd574
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Add BLIP (#20716)
* add new model like * add v1 * v1 * v1 * vision encoder logits match * v2 * fix * add docstring * CI tests pass * fix tests * make fixup * add to `toctree` * fix processors * fix processors * fix doc * fill title * add content doc * remove from tokenization auto * fix config * change order * add `# Copied from` * few fixes - add correct license on modeling text - remove dummy argument * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * replace name * refactor a bit * more refactor * remove unused arg * make fixup + remove some `# Adapted from ...` * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * more `# Copied from` * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * now `generate` supports no prefix * remove `FeatureExtractor` * fix path * correct dependency * fix tests * few fixes * add integration tests * add correct conversion script * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add `blip` to tokenization auto * fix docstrings * fix test + add image * remove processor from uncorrect place * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * clean up a bit * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * clean pixel mask * clean pixel mask * fix `F` * Update src/transformers/models/blip/modeling_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix output * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix pad token id * remove `token_type_ids` * make fixup * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * make fixup * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add comments * Update src/transformers/models/blip/modeling_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * remove `token_type_ids` * make fixup * better name * replace with `image_attention_mask` * refactor * make fixup * better docstring * replace `answer_xx` * remove ununsed args * add `labels` * add `labels` * fix processing tests * make fixup * make fixup * put correct repo * remove `pad` * remove `crop` and `center_crop` * Update src/transformers/models/blip/image_processing_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix * remove `size_divisor` * fix weights `init` * remove unneeded functions * add suggestions * minor changes - change slow test output for PT 1.13 - docstring order * replace `feature_extractor` by `image_processor` * fix doctests * fix weight init order + add fp16 slow test * add `blip` to doctest * add correct repo name and fix test * Update src/transformers/models/blip/processing_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix tests * use `convert_to_rgb` from `image_transforms` * make fixup * fix large loading issue Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Andreas Madsen
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b4b613b102
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Implement Roberta PreLayerNorm (#20305)
* Copy RoBERTa * formatting * implement RoBERTa with prelayer normalization * update test expectations * add documentation * add convertion script for DinkyTrain weights * update checkpoint repo Unfortunately the original checkpoints assumes a hacked roberta model * add to RoBERTa-PreLayerNorm docs to toc * run utils/check_copies.py * lint files * remove unused import * fix check_repo reporting wrongly a test is missing * fix import error, caused by rebase * run make fix-copies * add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS * Fix documentation <Facebook> -> Facebook Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup: Fix documentation <Facebook> -> Facebook Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Add missing Flax header Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * expected_slice -> EXPECTED_SLICE Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * update copies after rebase * add missing copied from statements * make fix-copies * make prelayernorm explicit in code * fix checkpoint path for the original implementation * add flax integration tests * improve docs * update utils/documentation_tests.txt * lint files * Remove Copyright notice Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make fix-copies * Remove EXPECTED_SLICE calculation comments Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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26dd041c6e
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Add Swin2SR (#19784)
* First draft * Add more improvements * Improve forward pass * Fix layernorm * Add upscaler * More improvements * More improvements * More improvements * Improve conversion script * Add preprocessing * Make output match original implementation * Add additional attributes * Add support for more models * Support more models * Add support for real world sr * Add initial Swin2SRFeatureExtractor * Add ImageSuperResolutionOutput * Make more tests pass * Use BaseModelOutput * Fix one more test * Fix more tests * Fix another test * Fix all tests * Rename to Swin2SRImageProcessor * Fix toctree * Fix toctree * Fix rebase * Improve Swin2SRImageProcessor * Remove feature extractor file * Improve model * Improve conversion script * Fix integration test * Fix init * Fix conversion script * Address comments * Improve upsampler * Add NearestConvUpsampler * Improve pixel shuffle upsampler * Improve auxiliary upsampler * Improve conversion script * Rename conv_last to final_convolution * Fix rebase * Improve upsample module * Add padding to image processor * Fix bug * Update padding * Remove print statement and fix integration test * Improve docs * Add image processor tests * Convert all checkpoints, fix testsé * Remove print statements * Fix import Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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7f99861218
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Add Universal Segmentation class + mapping (#20766)
* Add mapping * Add mapping to pipeline * Apply suggestions * Fix feature extractor tests * Use ForInstance, add model to universal mapping * More fixes * Remove model from deprecated objectsé Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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67acb07e9e
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Add Swin backbone (#20769)
* Add Swin backbone * Remove line * Add code example Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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6ef42587ae
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[NAT, DiNAT] Add backbone class (#20654)
* Add first draft * Add out_features attribute to config * Add corresponding test * Add Dinat backbone * Add BackboneMixin * Add Backbone mixin, improve tests * Fix embeddings * Fix bug * Improve backbones * Fix Nat backbone tests * Fix Dinat backbone tests * Apply suggestions Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Ariel Ekgren
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5f94855dc3
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Add gpt-sw3 model to transformers (#20209)
* Add templates for gpt-sw3 * Add templates for gpt-sw3 * Added sentencepiece tokenizer * intermediate commit with many changes * fixed conflicts * Init commit for tokenization port * Tokenization progress * Remove fast tokenizer * Clean up and rename spm.model -> spiece.model * Remove TF -> PT conversion script template, Clean up Megatron -> PT script * Optimize encode & decode performance * added new attention * added new attention * attention for gpt-sw3 working * attention good * Cache is now working * fixed attention mask so that it works with causal attention * fixed badbmm bug for cpu and caching * updated config with correct parameters * Refactor and leave optimizations as separate functions to avoid breaking expected functionality * Fix special tokens mapping for both tokenizers * cleaning up of code and comments * HF compatible attention outputs * Tokenizer now passing tests, add documentation * Update documentation * reverted back to base implementation after checking that it is identical to pretrained model * updated gpt-sw3 config * updated conversion script * aligned parameters with gpt-sw3 config * changed default scale_attn_by_inverse_layer_idx to true * removed flag from conversion script * added temporary model path * reverted back to functioning convert script * small changes to default config * updated tests for gpt-sw3 * make style, make quality, minor cleanup * Change local paths to testing online repository * Change name: GptSw3 -> GPTSw3 * Remove GPTSw3TokenizerFast references * Use official model repository and add more model sizes * Added reference to 6.7b model * Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel * Remove pointers to non-existing TFGPTSw3 * Add GPTSw3 to docs/_toctree.yml * Remove TF artifacts from GPTSw3 in __init__ files * Update README:s with 'make fix-copies' * Add 20b model to archive list * Add documentation for GPT-Sw3 * Fix typo in documentation for GPT-Sw3 * Do 'make fix-copies' again after having updated docs * Fix some typos in docs * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Resolve comments from PR feedback * Resolve more comments from PR feedback, also set use_cache=True in convert script * Add '# Copied from' comments for GPTSw3 modeling * Set 'is_parallelizable = False' * Remove '# Copied from' where code was modified and add 'with x->y' when appropriate * Remove parallelize in mdx * make style, make quality * Update GPTSw3Config default values and corresponding documentation * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available * Make style, make quality * Add dummy object for GPTSw3Tokenizer via 'make fix-copies' * make fix-copies * Remove GPTSw3 modeling classes * make style, make quality * Add GPTSw3 auto-mappings for other GPT2 heads * Update docs/source/en/model_doc/gpt-sw3.mdx Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Remove old TODO-comment * Add example usage to GPTSw3Tokenizer docstring * make style, make quality * Add implementation details and example usage to gpt-sw3.mdx Co-authored-by: JoeyOhman <joeyoh@kth.se> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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d151a8c550
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Add BiT + ViT hybrid (#20550)
* First draft * More improvements * Add backbone, first draft of ViT hybrid * Add AutoBackbone * More improvements * Fix bug * More improvements * More improvements * Convert ViT-hybrid * More improvements * add patch bit * Fix style * Improve code * cleaned v1 * more cleaning * more refactoring * Improve models, add tests * Add docs and tests * Make more tests pass * Improve default backbone config * Update model_type * Fix more tests * Add more copied from statements * More improvements * Add push to hub to conversion scripts * clean * more cleanup * clean * replace to * fix * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix base model prefix * more cleaning * get rid of stem * clean * replace flag * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add check * another check * fix for hybrid vit * final fix * update config * fix class name * fix `make fix-copies` * remove `use_activation` * Update src/transformers/models/bit/configuration_bit.py * rm unneeded file * Add BiT image processor * rm unneeded file * add doc * Add image processor to conversion script * Add ViTHybrid image processor * Add resources * Move bit to correct position * Fix auto mapping * Rename hybrid to Hybrid * Fix name in toctree * Fix READMEs' * Improve config * Simplify GroupNormActivation layer * fix test + make style * Improve config * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * remove comment * remove comment * replace * replace * remove all conv_layer * refactor norm_layer * revert x * add copied from * last changes + integration tests * make fixup * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix name * fix message * remove assert and refactor * refactor + make fixup * refactor - add + sfety checker * fix docstring + checkpoint names * fix merge issues * fix function name * fix copies * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model checkpoint * fix doctest output * vit name on doc * fix name on doc * fix small nits * fixed integration tests * final changes - slow tests pass Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yang An
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721764028e
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Add Chinese-CLIP implementation (#20368)
* init chinese-clip model from clip * init model tests and docs * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * update usecase example in model implementation * fix codestyle * fix model_type typo in readme * add placeholder in doc * add placeholder in doc * update the init script * update usecase * fix codestyle * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * forward the convert_rgb * update testcase * update testcase * update testcase * merge the recent update from clip about model_input_name property * update the doc * update the doc * update the doc * update the doc * remove unused imports * reformat code style * update the doc * fix isort style * bypass a weird failed unit test which is unrelated with my PR * update the doc * implement independent vision config class * implement independent vision model class * fix refactor bug * fix refactor bug * fix refactor bug * make style * fix refactor bug * make style * fix refactor bug * fix refactor bug * make style * fix refactor bug * fix refactor bug * doc-build restyle * implement independent text config class * implement independent text model class * implement independent text model class * make style * make fix-copies * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * make style * update doc * black and isort * update doc * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * modify the model type from chinese-clip to chinese_clip * format the example comment of ChineseCLIPVisionConfig * correct the copyright comment * fix the tokenizer specification * add copied from for loss function * remove unused class * update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING * update CHINESE_CLIP_INPUTS_DOCSTRING * update doc * update doc * update code comment in config * update copied from statement * make style * rename the doc file * add copied statement * remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder * remove ChineseCLIPTextPreTrainedModel * fix bug * fix bug * fix bug * update doc * make style * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * update ChineseCLIPImageProcessor in image_processing_auto * fix config_class of chinesecliptextmodel * fix the test case * update the docs * remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class * update the testcase * final fix Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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NielsRogge
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6dc884abc8
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[Maskformer] Add MaskFormerSwin backbone (#20344)
* First draft * Fix backwards compatibility * More fixes * More fixes * Make backbone more general * Improve backbone * Improve test * Fix config checkpoint * Address comments * Use model_type * Address more comments * Fix special model names * Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init * Fix typo * Update backbone * Apply suggestion Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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0bae286de9
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[AutoBackbone] Improve API (#20407)
* Add hidden states and attentions to backbone outputs * Update ResNet * Fix more tests * Debug test * Fix test_determinism * Fix test_save_load * Remove file * Disable fx tests * Test * Add fx support for backbones Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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6b217c52e6
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Add AutoBackbone + ResNetBackbone (#20229)
* Add ResNetBackbone * Define channels and strides as property * Remove file * Add test for backbone * Update BackboneOutput class * Remove strides property * Fix docstring * Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE * Fix auto mapping name * Add sanity check for out_features * Set stage names based on depths * Update to tuple Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |