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85 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Aymeric Roucher
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9ad4c93536
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Add Aria (#34157)
* Add Aria --------- Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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João Marcelo
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50189e36a6
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Add I-JEPA (#33125)
* first draft * add IJepaEmbeddings class * fix copy-from for IJepa model * add weight conversion script * update attention class names in IJepa model * style changes * Add push_to_hub option to convert_ijepa_checkpoint function * add initial tests for I-JEPA * minor style changes to conversion script * make fixup related * rename conversion script * Add I-JEPA to sdpa docs * minor fixes * adjust conversion script * update conversion script * adjust sdpa docs * [run_slow] ijepa * [run-slow] ijepa * [run-slow] ijepa * [run-slow] ijepa * [run-slow] ijepa * [run-slow] ijepa * formatting issues * adjust modeling to modular code * add IJepaModel to objects to ignore in docstring checks * [run-slow] ijepa * fix formatting issues * add usage instruction snippet to docs * change pos encoding, add checkpoint for doc * add verify logits for all models * [run-slow] ijepa * update docs to include image feature extraction instructions * remove pooling layer from IJepaModel in image classification class * [run-slow] ijepa * remove pooling layer from IJepaModel constructor * update docs * [run-slow] ijepa * [run-slow] ijepa * small changes * [run-slow] ijepa * style adjustments * update copyright in init file * adjust modular ijepa * [run-slow] ijepa |
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Steven Liu
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1ed1de2fec
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[docs] Increase visibility of torch_dtype="auto" (#35067)
* auto-dtype * feedback |
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Shane A
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9121ab8fe8
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Rename OLMo November to OLMo2 (#34864)
* Rename/move OLMo Nov files to OLMo2 * Rename Olmo1124 and its variants to Olmo2 |
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Shane A
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3ee24e2208
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Add OLMo November 2024 (#34551)
* Add model skeletion with transformers-cli add-new-model-like * Convert config to modular, add rms_norm_eps, delete clip_qkv * Convert model to modular, add RMSNorm * Add flash attention with qk norm and no qkv clipping * Add decoder layer with RMSNorm after attention/feedforward layers * Add base and causal model * Add converter improvements from OLMo repo * Update weight loading in OLMo to HF converter * Set correct default for rms_norm_eps * Set correct pipeline_model_mapping in test * Run make fixup * Fix model type * Re-run modular conversion * Manually set config docs to fix build errors * Convert olmo-1124 to olmo_1124 to fix flash attention docs errors * Start updating tests * Update tests * Copy upstream test_eager_matches_sdpa_inference_1_bfloat16 changes to olmo_1124 * Rename input_layernorm and post_attention_layernorm to reflect their ops better * Use correct tokenizer * Remove test unsupported by GPT2 tokenizer * Create GenerationConfig outside of from_pretrained call * Use simpler init file structure * Add explicit __all__ to support simplified init * Make safetensor serialization the default * Update OLMo November 2024 docs |
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Raushan Turganbay
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21d5025826
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Attn implementation for composite models (#32238)
* first try * codestyle * idefics2 is happy * [run-slow] llava, llava_next, video_llava, vipllava, llava_next_video, idefics, idefics2, kosmos2, fuyu, blip, blip_2, instructblip, instructblipvideo, paligemma * fix-copies * [run-slow] llava, llava_next, video_llava, vipllava, llava_next_video, idefics, idefics2, kosmos2, fuyu, blip, blip_2, instructblip, instructblipvideo * blip-2 needs to init vision from config * when was this removed O_o * minor fix * tests * this way? * tests * model-agnostic code * codestyle * add tests for idefics * modify general test for VLMs * no generation test for vlm yet! * no generation test here also * wanr in VIT-SDPA if output attn * add more tests * user can pass dict as attn impl * repo consistency * update * muicgen * no prints * forgot speech enc-dec and clip * how many composite models we have? * musicgen meelody is same as mudicgen * +siglip * fix tests + add some more * remove idefics custom overriden code * make idefics2 automappable * nits * skip tests * doctests * Update src/transformers/models/idefics2/configuration_idefics2.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/clip/test_modeling_clip.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/idefics2/test_modeling_idefics2.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/idefics2/test_modeling_idefics2.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/configuration_utils.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * major update, no need for automap * clean up * add FA2 test * more tests * style * skip tests * why did these started failing now? * no attributes for FA2 needed * one tiny test * address comment about FA2 false warning * style * add new models and resolve conflicts * fix copies * let it be this way for now, come back tomorrow to review * some more fixes * update * more updates * update * fix copies * style and tests * another big update * fix tests * fix tests * update * another update * fix tests * fix copies * fix tests --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Cyril Vallez
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6604764007
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add Glm (#33823)
* Create modular_glm.py * Update modular_glm.py * Finalize architecture without all attentions * Add all attentions modules * Finalize modular * Update given last version * Last update * Finalize model * Finalize converter * Update convert_glm_weights_to_hf.py * style * style * Create __init__.py * Aff all inits * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Correct the rotary embeddings * Remove apply_residual_connection_post_layernorm (always false) * remove use_rms_norm (always true) * remove past_layer_norm (always true) * Update __init__.py * Update config and license * start adding tests and doc * Add doc + style * Update test_modeling_glm.py * Add dummies * Apply correct modeling * Refactor attention to follow llama * Update __init__.py * Update convert_glm_weights_to_hf.py * Correct bias * remove linear_bias and pdrop (never used) * apply modular * Simplify converter * remove dummies + style * add model_input_names * Add pretraining_tp to config for when eager attention is used * Update modular to remove all pretraining_tp * Update test_modeling_glm.py * Update the __all__ * Update __all__ * Update __init__.py * Update test_modeling_glm.py * add revisions * Add the correct repos and revisions * style * Update __init__.py * update exports * remove import of modular files * style * Apply Llama changes + refine converter * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * Update convert_glm_weights_to_hf.py * style * Use new modular converter * add pretrainedmodel to init * style * Update test_modeling_glm.py * Move config outside modular to please CI about docstrings * Add dummies to please CI * Update glm.md * Update glm.md |
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Yoach Lacombe
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9ba021ea75
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Moshi integration (#33624)
* clean mimi commit * some nits suggestions from Arthur * make fixup * first moshi WIP * converting weights working + configuration + generation configuration * finalize converting script - still missing tokenizer and FE and processor * fix saving model w/o default config * working generation * use GenerationMixin instead of inheriting * add delay pattern mask * fix right order: moshi codes then user codes * unconditional inputs + generation config * get rid of MoshiGenerationConfig * blank user inputs * update convert script:fix conversion, add tokenizer, feature extractor and bf16 * add and correct Auto classes * update modeling code, configuration and tests * make fixup * fix some copies * WIP: add integration tests * add dummy objects * propose better readiblity and code organisation * update tokenization tests * update docstrigns, eval and modeling * add .md * make fixup * add MoshiForConditionalGeneration to ignore Auto * revert mimi changes * re * further fix * Update moshi.md * correct md formating * move prepare causal mask to class * fix copies * fix depth decoder causal * fix and correct some tests * make style and update .md * correct config checkpoitn * Update tests/models/moshi/test_tokenization_moshi.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/moshi/test_tokenization_moshi.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * make style * Update src/transformers/models/moshi/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup * change firm in copyrights * udpate config with nested dict * replace einsum * make style * change split to True * add back splt=False * remove tests in convert * Update tests/models/moshi/test_modeling_moshi.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * add default config repo + add model to FA2 docstrings * remove logits float * fix some tokenization tests and ignore some others * make style tokenization tests * update modeling with sliding window + update modeling tests * [run-slow] moshi * remove prepare for generation frol CausalLM * isort * remove copied from * ignore offload tests * update causal mask and prepare 4D mask aligned with recent changes * further test refine + add back prepare_inputs_for_generation for depth decoder * correct conditional use of prepare mask * update slow integration tests * fix multi-device forward * remove previous solution to device_map * save_load is flaky * fix generate multi-devices * fix device * move tensor to int --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Marc Sun <marc@huggingface.co> |
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Prakarsh Kaushik
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293e6271c6
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Add sdpa for Vivit (#33757)
* chore:add sdpa to vivit * fix:failing slow test_inference_interpolate_pos_encoding(failing on main branch too) * chore:fix nits * ci:fix repo consistency failure * chore:add info and benchmark to model doc * [run_slow] vivit * chore:revert interpolation test fix for new issue * [run_slow] vivit * [run_slow] vivit * [run_slow] vivit * chore:add fallback for output_attentions being True * [run_slow] vivit * style:make fixup * [run_slow] vivit |
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Avishai Elmakies
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a265600c60
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add sdpa to OPT (#33298)
* add sdpa to OPT
* chore: remove redundant whitespace in OPTDecoder class
* fixup
* bug fix
* add sdpa and attention generate test
* fixup
* Refactor OPTAttention forward method for improved readability and maintainability
* undo refactor for _shape and key,val states
* add OPT to doc, fixup didn't find it for some reason
* change order
* change default attn_implemntation in testing to eager
* [run-slow] opt
* change test_eager_matches_sdpa_generate to the one llama
* Update default attention implementation in testing common
* [run-slow] opt
* remove uneeded print
* [run-slow] opt
* refactor model testers to have attn_implementation="eager"
* [run-slow] opt
* convert test_eager_matches_sdpa_generate to opt-350M
* bug fix when creating mask for opt
* [run-slow] opt
* if layer head mask default to eager
* if head mask is not none fall to eager
* [run-slow] opt
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Clean up Unpack imports (#33631)
clean up Unpack imports
* Fix DPT /Dinov2 sdpa regression on main (#33660)
* fallback to eager if output attentions.
* fix copies
* handle dependency errors in check_imports (#33622)
* handle dependency errors in check_imports
* change log level to warning
* add back self.max_position_embeddings = config.max_position_embeddings (#33550)
* add back self.max_position_embeddings = config.max_position_embeddings
* fix-copies
* Fix Llava conversion for LlavaQwen2ForCausalLM with Clip vision tower (#33613)
fix llavaqwen2 model conversion
* Uniformize kwargs for Udop processor and update docs (#33628)
* Add optional kwargs and uniformize udop
* cleanup Unpack
* nit Udop
* Generation: deprecate `PreTrainedModel` inheriting from `GenerationMixin` (#33203)
* Enable BNB multi-backend support (#31098)
* enable cpu bnb path
* fix style
* fix code style
* fix 4 bit path
* Update src/transformers/utils/import_utils.py
Co-authored-by: Aarni Koskela <akx@iki.fi>
* add multi backend refactor tests
* fix style
* tweak 4bit quantizer + fix corresponding tests
* tweak 8bit quantizer + *try* fixing corresponding tests
* fix dequant bnb 8bit
* account for Intel CPU in variability of expected outputs
* enable cpu and xpu device map
* further tweaks to account for Intel CPU
* fix autocast to work with both cpu + cuda
* fix comments
* fix comments
* switch to testing_utils.torch_device
* allow for xpu in multi-gpu tests
* fix tests 4bit for CPU NF4
* fix bug with is_torch_xpu_available needing to be called as func
* avoid issue where test reports attr err due to other failure
* fix formatting
* fix typo from resolving of merge conflict
* polish based on last PR review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* fix CI
* Update src/transformers/integrations/integration_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/integrations/integration_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* fix error log
* fix error msg
* add \n in error log
* make quality
* rm bnb cuda restriction in doc
* cpu model don't need dispatch
* fix doc
* fix style
* check cuda avaliable in testing
* fix tests
* Update docs/source/en/model_doc/chameleon.md
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: Aarni Koskela <akx@iki.fi>
* Update tests/quantization/bnb/test_4bit.py
Co-authored-by: Aarni Koskela <akx@iki.fi>
* Update tests/quantization/bnb/test_4bit.py
Co-authored-by: Aarni Koskela <akx@iki.fi>
* fix doc
* fix check multibackends
* fix import sort
* remove check torch in bnb
* docs: update bitsandbytes references with multi-backend info
* docs: fix small mistakes in bnb paragraph
* run formatting
* reveret bnb check
* move bnb multi-backend check to import_utils
* Update src/transformers/utils/import_utils.py
Co-authored-by: Aarni Koskela <akx@iki.fi>
* fix bnb check
* minor fix for bnb
* check lib first
* fix code style
* Revert "run formatting"
This reverts commit
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Amit Garg
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e3775539c8
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PhiMoE (#33363)
* onboard phimoe model * removed debug code * added unit tests * updated docs * formatted * fixed unit tests * fixed test case * fixed format * refactored code * fixed expected outputs in the integration tests * Added a warning msg * Addressed comments * Addressed comments * fixed test cases * added paper link * Addressed comments * Refactored PhimoeForCausalLM forward fn * Refactored PhimoeRotaryEmbedding class * fixed test cases * fixed testcase * fixed test case * Addressed comments * fixed test cases * fixed testcases * Used cache position instead to get the seq len |
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Omar Salman
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e7c8af7f33
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Add sdpa for DistilBert (#33724)
* Add sdpa for DistilBert * [run_slow] distilbert * [run_slow] distilbert * [run_slow] distilbert * Try without slow tests * [run_slow] distilbert * [run_slow] distilbert |
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Andrés Marafioti
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f2c388e3f9
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Add Idefics 3! (#32473)
* Add Idefics 3! * fixes to make both pipelines identical * fix for quantized models * First pass at the review * remove vocab size from the main config (it's still in the text_config) * hot fix for merve * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * re-add model_type for text_config * remove support for old_cache * remove hidden_size from main config * rename idefics3 HF repo * few changes suggested in the PR * fix to input_data_format computation * remove overwrite of _autoset_attn_implementation following @zucchini-nlp suggestion * improve example * few improvements from amy's review * big change to enable processing input images as numpy arrays * Changes to the code to uniformize processor kwargs * image processing tests * image processing tests fixes and some bugs they discovered * addressed review comments from Yoni * fix modeling tests * remove special tokens that are not special * fixes tests * skip failing tests - they also fail for idefics2 * added paper and readded the tests with multi gpu, who knows * Update docs/source/en/model_doc/idefics3.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> * review amy until image_processing_idefics3 * last comments from Amy * review amy * Update src/transformers/models/idefics3/image_processing_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/idefics3/modeling_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/idefics3.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * doc improvement - amy review * fix runtime error during fine-tuning * amy's review * Update src/transformers/models/idefics3/image_processing_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/idefics3/image_processing_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/idefics3/modeling_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * ruff * amy's comment on the order * ruff ruff * fix copies * square images when they are not splitted * ruff :( * Update src/transformers/models/idefics3/image_processing_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/idefics3/test_processing_idefics3.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix small bug introduced in refactor * amy's image processing changes * fixes peft tests and ruff * modify to_pil_image from transformers. and review from emanuele. * add modified to_pil_image --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Arthur
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19d58d31f1
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Add MLLama (#33703)
* current changes
* nit
* Add cross_attenttion_mask to processor
* multi-image fixed
* Add cross_attenttion_mask to processor
* cross attn works in all cases
* WIP refactoring function for image processor
* WIP refactoring image processor functions
* Refactor preprocess to use global loops instead of list nested list comps
* Docstrings
* Add channels unification
* fix dtype issues
* Update docsrings and format
* Consistent max_image_tiles
* current script
* updates
* Add convert to rgb
* Add image processor tests
* updates!
* update
* god damn it I am dumb sometimes
* Precompute aspect ratios
* now this works, full match
* fix 😉
* nits
* style
* fix model and conversion
* nit
* nit
* kinda works
* hack for sdpa non-contiguous bias
* nits here and there
* latest c hanges
* merge?
* run forward
* Add aspect_ratio_mask
* vision attention mask
* update script and config variable names
* nit
* nits
* be able to load
* style
* nits
* there
* nits
* make forward run
* small update
* enable generation multi-turn
* nit
* nit
* Clean up a bit for errors and typos
* A bit more constant fixes
* 90B keys and shapes match
* Fix for 11B model
* Fixup, remove debug part
* Docs
* Make max_aspect_ratio_id to be minimal
* Update image processing code to match new implementation
* Adjust conversion for final checkpoint state
* Change dim in repeat_interleave (accordig to meta code)
* tmp fix for num_tiles
* Fix for conversion (gate<->up, q/k_proj rope permute)
* nits
* codestyle
* Vision encoder fixes
* pass cross attn mask further
* Refactor aspect ratio mask
* Disable text-only generation
* Fix cross attention layers order, remove q/k norm rotation for cross atention layers
* Refactor gated position embeddings
* fix bugs but needs test with new weights
* rope scaling should be llama3
* Fix rope scaling name
* Remove debug for linear layer
* fix copies
* Make mask prepare private func
* Remove linear patch embed
* Make precomputed embeddings as nn.Embedding module
* MllamaPrecomputedAspectRatioEmbedding with config init
* Remove unused self.output_dim
* nit, intermediate layers
* Rename ln and pos_embed
* vision_chunk_size -> image_size
* return_intermediate -> intermediate_layers_indices
* vision_input_dim -> hidden_size
* Fix copied from statements
* fix most tests
* Fix more copied from
* layer_id->layer_idx
* Comment
* Fix tests for processor
* Copied from for _prepare_4d_causal_attention_mask_with_cache_position
* Style fix
* Add MllamaForCausalLM
* WIP fixing tests
* Remove duplicated layers
* Remove dummy file
* Fix style
* Fix consistency
* Fix some TODOs
* fix language_model instantiation, add docstring
* Move docstring, remove todos for precomputed embeds (we cannot init them properly)
* Add initial docstrings
* Fix
* fix some tests
* lets skip these
* nits, remove print, style
* Add one more copied from
* Improve test message
* Make validate func private
* Fix dummy objects
* Refactor `data_format` a bit + add comment
* typos/nits
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* fix dummy objects and imports
* Add chat template config json
* remove num_kv_heads from vision attention
* fix
* move some commits and add more tests
* fix test
* Remove `update_key_name` from modeling utils
* remove num-kv-heads again
* some prelimiary docs
* Update chat template + tests
* nit, conversion script max_num_tiles from params
* Fix warning for text-only generation
* Update conversion script for instruct models
* Update chat template in converstion + test
* add tests for CausalLM model
* model_max_length, avoid null chat_template
* Refactor conversion script
* Fix forward
* Fix integration tests
* Refactor vision config + docs
* Fix default
* Refactor text config
* Doc fixes
* Remove unused args, fix docs example
* Squashed commit of the following:
commit b51ce5a2efffbecdefbf6fc92ee87372ec9d8830
Author: qubvel <qubvel@gmail.com>
Date: Wed Sep 18 13:39:15 2024 +0000
Move model + add output hidden states and output attentions
* Fix num_channels
* Add mllama text and mllama vision models
* Fixing repo consistency
* Style fix
* Fixing repo consistency
* Fixing unused config params
* Fix failed tests after refactoring
* hidden_activation -> hidden_act for text mlp
* Remove from_pretrained from sub-configs
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/mllama/convert_mllama_weights_to_hf.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Reuse lambda in conversion script
* Remove run.py
* Update docs/source/en/model_doc/mllama.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/mllama/processing_mllama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Remove unused LlamaTokenizerFast
* Fix logging
* Refactor gating
* Remove cycle for collecting intermediate states
* Refactor text-only check, add integration test for text-only
* Revert from pretrained to configs
* Fix example
* Add auto `bos_token` adding in processor
* Fix tips
* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Enable supports_gradient_checkpointing model flag
* add eager/sdpa options
* don't skip attn tests and bring back GC skips (did i really remove those?)
* Fix signature, but get error with None gradient
* Fix output attention tests
* Disable GC back
* Change no split modules
* Fix dropout
* Style
* Add Mllama to sdpa list
* Add post init for vision model
* Refine config for MllamaForCausalLMModelTest and skipped tests for CausalLM model
* if skipped, say it, don't pass
* Clean vision tester config
* Doc for args
* Update tests/models/mllama/test_modeling_mllama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Add cross_attention_mask to test
* typehint
* Remove todo
* Enable gradient checkpointing
* Docstring
* Style
* Fixing and skipping some tests for new cache
* Mark flaky test
* Skip `test_sdpa_can_compile_dynamic` test
* Fixing some offload tests
* Add direct GenerationMixin inheritance
* Remove unused code
* Add initializer_range to vision config
* update the test to make sure we show if split
* fix gc?
* Fix repo consistency
* Undo modeling utils debug changes
* Fix link
* mllama -> Mllama
* [mllama] -> [Mllama]
* Enable compile test for CausalLM model (text-only)
* Fix TextModel prefix
* Update doc
* Docs for forward, type hints, and vision model prefix
* make sure to reset
* fix init
* small script refactor and styling
* nit
* updates!
* some nits
* Interpolate embeddings for 560 size and update integration tests
* nit
* does not suppor static cache!
* update
* fix
* nit2
* this?
* Fix conversion
* Style
* 4x memory improvement with image cache AFAIK
* Token decorator for tests
* Skip failing tests
* update processor errors
* fix split issues
* style
* weird
* style
* fix failing tests
* update
* nit fixing the whisper tests
* fix path
* update
---------
Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: pavel <ubuntu@ip-10-90-0-11.ec2.internal>
Co-authored-by: qubvel <qubvel@gmail.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
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Isaac Schifferer
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61e98cb957
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Add SDPA support for M2M100 (#33309)
* Add SDPA support for M2M100 * [run_slow] m2m_100, nllb |
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Avishai Elmakies
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78b2929c05
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Sdpa dino v2 (#33403)
* add sdpa to dinov2 * fixup * add dinov2 to sdpa doc * update doc order * [run-slow] dinov2 * common to eager * [run-slow] dinov2 * update attn implementation in common * update test_modeling_dinov2 to have mask_ration, num_masks and mask_length similar to vit * [run-slow] dinov2 --------- Co-authored-by: Avishai Elmakies <avishai.elma@cs.huji.ac.il> |
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Mayank Mishra
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e472e077c2
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Granitemoe (#33207)
* first commit * drop tokenizer * drop tokenizer * drop tokenizer * drop convert * granite * drop tokenization test * mup * fix * reformat * reformat * reformat * fix docs * stop checking for checkpoint * update support * attention multiplier * update model * tiny drop * saibo drop * skip test * fix test * fix test * drop * drop useless imports * update docs * drop flash function * copied from * drop pretraining tp * drop pretraining tp * drop pretraining tp * drop unused import * drop code path * change name * softmax scale * head dim * drop legacy cache * rename params * cleanup * fix copies * comments * add back legacy cache * multipliers * multipliers * multipliers * text fix * fix copies * merge * multipliers * attention multiplier * drop unused imports * add granitemoe * add decoration * remove moe from sequenceclassification * fix test * fix * fix * fix * move rope? * merge * drop bias * drop bias * Update src/transformers/models/granite/configuration_granite.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * Update src/transformers/models/granite/modeling_granite.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * fix * fix * fix * drop * drop * fix * fix * cleanup * cleanup * fix * fix granite tests * fp32 test * fix * drop jitter * fix * rename * rename * fix config * add gen test --------- Co-authored-by: Yikang Shen <yikang.shn@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Omar Salman
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653eb40425
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Add sdpa for BioGpt (#33592)
* Add sdpa for BioGpt * Updates * Add the docs * [run_slow] biogpt * Use the copy mechanism to ensure consistency * [run_slow] biogpt |
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Yoach Lacombe
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5af7d41e49
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Codec integration (#33565)
* clean mimi commit * some nits suggestions from Arthur * make fixup * rename repo id + change readme * Update docs/source/en/model_doc/mimi.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add flaky flag to batching equivalence due to audio_codes failing sometimes --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Nicholas Broad
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66bc4def95
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add sdpa mbart (#32033)
* add sdpa mbart useful for donut * update sdpa docs * formatting * add self._use_sdpa in mbartencoder * use self.config to check attn * retrigger checks * [run-slow] mbart |
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Raushan Turganbay
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43df47d8e7
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Llava Onevision: add model (#32673)
* working version * fix copies * update * tests * update docs * codestyle * add more tests * add returns for docs * clean up * Update src/transformers/models/llava_onevision/processing_llava_onevision.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * updates * codestyle * style * shouldn't be reversed * [run-slow] llava_onevision * [run-slow] llava_onevision * add pooling in videos * [run-slow] llava_onevision * num-logits-to-keep * [run-slow] llava_onevision * [run-slow] llava_onevision * Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * video matched orig impl * fix tests * chat template was modified * Update docs/source/en/model_doc/llava_onevision.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add morer info in the doc page --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Niklas Muennighoff
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ecd61c6286
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Add OLMoE (#32406)
* Add OLMoE * Add OLMoE * Updates * Make norm optional; add keys * Add output * Add * Fix dtype * Fix eos config * Update * Add OLMoE * Fix OLMoE path * Format * Format * Rmv copy statement * Rmv copy statement * Format * Add copies * Cp rotary * Fix aming * Fix naming * Update RoPE integration; num_logits_to_keep; Add copy statements * Add eps to config * Format * Add aux loss * Adapt router_aux_loss_coef * Update md * Adapt * adapt tests |
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Omar Salman
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03c12d0d63
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Add sdpa support for Albert (#32092)
* Add sdpa support for Albert * [run_slow] albert * Add benchmarks and PR suggestion * Fix quality * Fix * [run_slow] albert |
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JB (Don)
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f1a385b1de
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[RoBERTa-based] Add support for sdpa (#30510)
* Adding SDPA support for RoBERTa-based models * add not is_cross_attention * fix copies * fix test * add minimal test for camembert and xlm_roberta as their test class does not inherit from ModelTesterMixin * address some review comments * use copied from * style * consistency * fix lists --------- Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Mayank Mishra
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c35d2ccf5a
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Granite language models (#31502)
* first commit * drop tokenizer * drop tokenizer * drop tokenizer * drop convert * granite * drop tokenization test * mup * fix * reformat * reformat * reformat * fix docs * stop checking for checkpoint * update support * attention multiplier * update model * tiny drop * saibo drop * skip test * fix test * fix test * drop * drop useless imports * update docs * drop flash function * copied from * drop pretraining tp * drop pretraining tp * drop pretraining tp * drop unused import * drop code path * change name * softmax scale * head dim * drop legacy cache * rename params * cleanup * fix copies * comments * add back legacy cache * multipliers * multipliers * multipliers * text fix * fix copies * merge * multipliers * attention multiplier * drop unused imports * fix * fix * fix * move rope? * Update src/transformers/models/granite/configuration_granite.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * Update src/transformers/models/granite/modeling_granite.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * fix * fix * fix * fix-copies * torch rmsnorm * add authors * change model path * fix * test * drop static cache test * uupdate readme * drop non-causal * readme * drop useless imports * Update docs/source/en/model_doc/granite.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/granite.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/granite.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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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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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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Wonseok Lee (Jack)
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e28784f821
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Change Phi3 _supports_sdpa to True (#32457)
* Change `_supports_sdpa` to True * add phi3 to sdpa support list |
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Ao Tang
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6a03942db7
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Add Nemotron HF Support (#31699)
* Add nemotron support * fix inference * add unit test * add layernorm1p as a class to avoid meta device mismatch * test fixed * Add copied_from statements * remove pretraining_tp args * remove nemotronlayernorm * force LN computation done in FP32 * remove nemotrontokenizer and use llamatokenizer * license update * add option for kv_channels for minitron8b * remove assert * o_proj fixed * o_proj reshape * add gated_proj option * typo * remove todos * fix broken test after merging latest main * remove nezha/nat after meging main * chnage default config to 15b model * add nemo conversion script * rename conversion script * remove gate_proj option * pr comment resolved * fix unit test * rename kv_channels to head_dim * resolve PR issue * add nemotron md * fix broken tests * refactor rope for nemotron * test fix * remove linearscaling * whitespace and import * fix some copied-from * code style fix * reformatted * add position_embedding to nemotronattention * rope refactor to only use config, copied-from fix * format * Run make fix-copies * nemotron md with autodoc * doc fix * fix order * pass check_config_docstrings.py * fix config_attributes * remove all llama BC related code * Use PreTrainedTokenizerFast * ruff check examples * conversion script update * add nemotron to toctree |
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Pavel Iakubovskii
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1c37e8c1a6
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Add sdpa and FA2 for CLIP (#31940)
* Squashed commit of the following:
commit 102842cd477219b9f9bcb23a0bca3a8b92bd732f
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date: Fri Jul 12 18:23:52 2024 +0000
Add model-specific sdpa tests
commit 60e4c88581abf89ec098da84ed8e92aa904c997d
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date: Fri Jul 12 18:20:53 2024 +0000
Add fallback to eager (expensive operation)
commit c29033d30e7ffde4327e8a15cbbc6bee37546f80
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date: Thu Jul 11 17:09:55 2024 +0000
Fix attn_implementation propagation
commit 783aed05f0f38cb2f99e758f81db6838ac55b9f8
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 09:05:27 2024 +0530
style
commit e77e703ca75d00447cda277eca6b886cd32bddc0
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 09:04:57 2024 +0530
add comment to explain why I had to touch forbidden codebase.
commit ab9d8849758e7773a31778ccba71588d18552623
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 09:03:02 2024 +0530
fix: flax attribute access.
commit c570fc0abf9d1bd58c291aae3c7e384f995996d2
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 08:23:54 2024 +0530
fix tensorflow attribute name.
commit 32c812871cfdb268d8a6e3e2c61c5c925c8ed47e
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 07:57:10 2024 +0530
fix attribute access.
commit 4f41a0138b6c417aed9c9332278f8bcd979cb7c2
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Sat May 25 07:44:02 2024 +0530
_from_config.
commit 35aed64ff602422adcf41d7f677a0a24bd9eccae
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 24 18:46:52 2024 +0530
propagation of attn_implementation.
commit 4c25c19845438b1dc1d35a5adf9436151c8c5940
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 24 09:24:36 2024 +0530
style again
commit 5f7dc5c5015c0f8116408f737e8c318d1802c80c
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 24 09:19:05 2024 +0530
use from_config.
commit b70c409956d0359fa6ae5372275d2a20ba7e3389
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 24 09:13:43 2024 +0530
quality
commit a7b63beff53d0fc754c6564e2a7b51731ddee49d
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 10 14:35:10 2024 +0200
add benchmark numbers
commit 455b0eaea50862b8458c8f422b60fe60ae40fdcb
Author: sayakpaul <spsayakpaul@gmail.com>
Date: Fri May 10 13:50:16 2024 +0200
Revert "reflect feedback more"
This reverts commit
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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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Pavel Iakubovskii
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a177821b24
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Add FA2 and sdpa support for SigLIP (#31499)
* Rebase to main * Fix attention implementation autoset for tex and vision configs * Fixup * Minor fixes * Fix copies * Fix attention_mask for FA2 * Add eqvivalence tests for siglip * Remove right padding test * Uncomment flaky * Fix import * Add to docs * Fix test message * Add sdpa * Add sdpa equivalence test * Add siglip sdpa to docs * Fix typing for attention output * Add sdpa tests * Fix signature of FA2 * Autoset attn_implementation in config * Rename bsz -> batch_size * Move back autoset attn method * Mark as flaky * Correct attention mask padding * [run-slow] siglip * Add FA2 and sdpa docs * Style fix * Remove flaky for FA2 test * Change attention implementation set * Change attn_implementaiton propogation * Fix typos * Add modality to assert message * Add more sdpa backends in test * [run slow] siglip * Add math sdpa backend for all options * [run slow] siglip |
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Arthur
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75a6319864
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Fix post gemma merge (#31660)
* nit * toctree issue * protect gemma2 tests as well * sdpa supported |
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Raushan Turganbay
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e71f2863d7
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Add LLaVa NeXT Video (#31252)
* squash into single commit * run diff once more * docstring * tests * minor chnages and ready to go * Update src/transformers/models/llava_next_video/processing_llava_next_video.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/vipllava/test_modeling_vipllava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * [run-slow] llava-next-video * [run-slow] llava-next-video * [run-slow] llava_next_video * fix two tests * fix slow tests * remove logit checks due to numeric errors * run test once more * [run-slow] llava_next_video * final try to pass the test * [run-slow] llava_next_video * [run-slow] llava_next_video * [run-slow] llava_next_video * style * fix * style --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Anton Vlasjuk
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b07770c5eb
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[GPT-NeoX] Add SDPA support (#31031)
* starting support for sdpa in `gptneox` models * small comment on tests * fix dropout * documentation and style * clarify concrete paths for reference * generalise attn projections and rope application added head mask check to sdpa mask creation handle sdpa memory backend bug via own version flag * update docs and style * move dtype casting outside of general attn_projection_and_rope function fix flash_attn_2 stuff * more generic attn warning if output_attns or head_mask * simplify head mask check by moving head mask creation to a later point * remove copied llama artifact * remove padding_mask from attention function signature * removing unnecessary comments, only "save" attn implementation once * [run_slow] gpt_neox |
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Anton Vlasjuk
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b275a41005
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[GPT2] Add SDPA support (#31172)
* `gpt2` sdpa support * fix (at least) one test, style, repo consistency * fix sdpa mask in forward --> fixes generation * test * test2 * test3 * test4 * simplify shapes for attn mask creation and small comments * hub fail test * benchmarks * flash attn 2 mask should not be inverted on enc-dec setup * fix comment * apply some suggestion from code review - only save _attn_implentation once - remove unnecessary comment * change elif logic * [run-slow] gpt2 * modify `test_gpt2_sample_max_time` to follow previous assertion patterns |
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Younes Belkada
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f5590deaa8
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Docs / Quantization: Replace all occurences of load_in_8bit with bnb config (#31136)
Replace all occurences of `load_in_8bit` with bnb config |
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hyenal
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1c21f48a50
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add sdpa to ViT [follow up of #29325] (#30555)
remove blank line (+1 squashed commit) Squashed commits: [24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits) Squashed commits: [08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder [ec96a8db3] [run-slow]vit_msn [ead817eca] fix vit msn multi gpu [d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [3fdbfa88f] doc [a3ff33e4a] finish implementation [e20b7b7fb] Update test_modeling_common.py [e290c5810] Update test_modeling_flax_common.py [d3af86f46] comment [ff7dd32d8] more comments [59b137889] suggestion [7e2ba6d67] attn_implementation as attribute of the class [fe66ab71f] minor [38642b568] Apply suggestions from code review Accept comments Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [22cde7d52] Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [48e137cc6] Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [99f4c679f] Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [96cf20a6d] Update src/transformers/models/vit_msn/modeling_vit_msn.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [c59377d23] Update src/transformers/models/vit_mae/modeling_vit_mae.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [b70a47259] Update tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> [00c84d216] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [61f00ebb0] all tests are passing locally [e9e0b82b7] vision encoder/decoder [4d5076b56] test-vision (+20 squashed commits) Squashed commits: [d1add8db9] yolo [9fde65716] fix flax [986566c28] minor [ca2f21d1f] vit [3333efd7a] easy models change [ebfc21402] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [b8b8603ed] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos [48ecc7e26] all tests are passing locally [bff7fc366] minor [62f88306f] fix yolo and text_encoder tests [121507555] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [1064cae0a] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos [b7f52ff3a] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [cffaa10dd] fix-copies [ef6c511c4] test vit hybrid [7d4ba8644] vit hybrid [66f919033] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [1fcc0a031] fixes [cfde6eb21] fixup [e77df1ed3] all except yolo end encoder decoder (+17 squashed commits) Squashed commits: [602913e22] vit + vit_mae are working [547f6c4cc] RUN_SLOW=1 pytest tests/models/audio_spectrogram_transformer/ tests/models/deit/ tests/models/videomae/ passes [61a97dfa9] it s the complete opposite... [aefab37d4] fix more tests [71802a1b9] fix all torch tests [40b12eb58] encoder - decoder tests [941552b69] slow decorator where appropriate [14d055d80] has_attentions to yolo and msn [3381fa19f] add correct name [e261316a7] repo consistency [31c6d0c08] fixup [9d214276c] minor fix [11ed2e1b7] chore [eca6644c4] add sdpa to vit-based models [cffbf390b] make fix-copies result [6468319b0] fix style [d324cd02a] add sdpa for vit Co-authored-by: Liubov Yaronskaya <luba.yaronskaya@gmail.com> |
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Raushan Turganbay
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bd9f4d7951
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Add Video Llava (#29733)
* add model draft * update docstring * add tests * support image and video as input * update for better handling of mixed input and clean-up a bit * bug when mixed inputs & add tests * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Merge remote-tracking branch 'upstream/main' into video_llava * link to abstract of paper in README * fix test * fix-copies * make tests happy * skip docstest for now * do not run doctest for now * Update src/transformers/models/video_llava/processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * address review comments * failing tests * Fix vocab_size in common tests for VLMs * codestyle * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/processing_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * PR suggestions * fix-copies * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add full example in docs * clean-up with new model-id * [run-slow] video_llava * update docstring * [run-slow] video_llava * remove all achive maps * fix some tests * test was supposed to be skipped for llava :) --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Pablo Montalvo
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1360801a69
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Add PaliGemma (#30814)
* add new model like * add state dict slicing + new model config * update palma config and weights, passes vision activations * fix * update * reorder loading/unpacking * clean up * add debug statements * change device * fix * debugging * fix noncausal mask * fixup sdpa + causal mask * fix activation function * remove debug before changing modeling file * add variants * debug attention mask in generate * revert to non-debug sdpa * revert gemma modifications * add custom language modeling * use Processor * add language modeling file to init * try thin wrapper around generate * Update * update mask * breakpoints galore * remove conflict * switch to left-padding * add incomplete model doc * add paligemma global files * batch rename paligemma * make generation match outputs and captioning * style * style * remove copied from + doc * remove more copied from * remove copy from projector * minor fix * update config and style * add readme - dummy * CORRECT image captioning * moving to args * add siglip proper + fix merging image + text features * take update_causal_mask from upstream * remove breakpoint * leverage AutoModel * fix input_ids slicing * make siglip head conditional * remove encoder_decoder value * remove unneeded modeling file * add commented 4d attention mask * FIXED generation with 4D mask * Update src/transformers/models/siglip/modeling_siglip.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix left padding detection * shuffle order of verifications * fix missing labels for training * fix * vectorize merging of features, improve slicing * improve testing before conversion * handle merging in processor * image token index depends on checkpoint * add variants, save processor too * save processors, base tokenizer off spm file * expand model embeddings due to additional image token * pass image processing args * add convert rgb to siglip processor * add \n token separately * fix tokenizer and prompts * fix docstrings * change to camel * fix casing * debug pos_ids and sdpa * pass and use cache_position * add flag for newline tokenization * Update src/transformers/models/paligemma/processing_paligemma.py Co-authored-by: Merve Noyan <merveenoyan@gmail.com> * simplify conversion script * add copied from * add precision to conversion script * Update src/transformers/models/paligemma/modeling_paligemma.py Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * clean up * Shift attention mask from `1:` After discussion with @molbap * add docs, fix quality * quality, tied weights inheritance, and logits/label alignment * fix more tests * pass attn_implementation to language model correctly * add SiglipVisionTransformer to no split modules * skip paligemma test for sdpa dispatch to flash * skip incompatible tests * quality * [broken archive maps] * Apply suggestions - remove archive lists - style - take shape of inputs_embeds for batch Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/utils/dummy_pt_objects.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * simplify conversion script * add suggestions * add suggestions * add copied from * fix * move labels out * revert * fix * remove placeholder labels if None * use cache_position * fix quality + docstrings * fix quality * fix paligemma 4d gemma mask incompatibility * fix config docstring * fix query and attn_mask dtype --------- Co-authored-by: ArthurZucker <arthur.zucker@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Merve Noyan <merveenoyan@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> |
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Yikang Shen
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ccdabc5642
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Add JetMoE model (#30005)
* init jetmoe code * update archive maps * remove flax import * fix import error * update README * ruff fix * update readme * fix * update config * fix issue * merge files * fix model bug * fix test * auto fix * model size * add comments * fix form * add flash attention support * fix attention head number * fix init * fix support list * sort auto mapping * fix test * fix docs * update test * fix test * fix test * change variable name * fix config * fix init * update format * clean code * fix config * fix config * change default config * update config * fix issues * update formate * update config argument * update format * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * change to mixtral aux loss * change to cache_position * debug * fix bugs * debug * fix format * fix format * fix copy * fix format * fix format * fix sort * fix sort * fix sort * add copy comment * add copy from * remove debug code * revert readme update * add copy * debug * remove debug code * fix flash attention * add comments * clean code * clean format * fix format * fix format * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * change variable name * add copied from * fix variable name * remove deprecated functinos * sync to llama implementation * fix format * fix copy * fix format * update format * remove repr * add comment for moe weight * fix copy * Update src/transformers/models/jetmoe/configuration_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * add comments and reformat config * fix format * fix format * fix format * update test * update doc string in config * Update src/transformers/models/jetmoe/modeling_jetmoe.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * update config doc * update attention cache * fix format * fix copy --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> |
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fxmarty
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37bba2a32d
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CI: update to ROCm 6.0.2 and test MI300 (#30266)
* update to ROCm 6.0.2 and test MI300 * add callers for mi300 * update dockerfile * fix trainer tests * remove apex * style * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * update to torch 2.3 * add workflow dispatch target * we may need branches: mi300-ci after all * nit * fix docker build * nit * add check runner * remove docker-gpu * fix issues * fix --------- Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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amyeroberts
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e7d52a10d7
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Fix GroundingDINO, DPR after BERT SDPA update (#30506)
Fix GroundingDINO, DPR after BET SDPA update |
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JB (Don)
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dfa7b580e9
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[BERT] Add support for sdpa (#28802)
* Adding SDPA support for BERT * Using the proper input name for testing model input in inference() * Adding documentation for SDPA in BERT model page * Use the stable link for the documentation * Adding a gate to only call .contiguous() for torch < 2.2.0 * Additions and fixes to the documentation * Minor updates to documentation * Adding extra requirements needed for the contiguous() bug * Adding "Adapted from" in plcae of the "Copied from" * Add benchmark speedup tables to the documentation * Minor fixes to the documentation * Use ClapText as a replacemenet for Bert in the Copied-From * Some more fixes for the fix-copies references * Overriding the test_eager_matches_sdpa_generate in bert tests to not load with low_cpu_mem_usage [test all] * Undo changes to separate test * Refactored SDPA self attention code for KV projections * Change use_sdpa to attn_implementation * Fix test_sdpa_can_dispatch_on_flash by preparing input (required for MultipleChoice models) |
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Gustavo de Rosa
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c9693db2fc
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Phi-3 (#30423)
* chore(root): Initial commit of Phi-3 files. * fix(root): Fixes Phi-3 missing on readme. * fix(root): Ensures files are consistent. * fix(phi3): Fixes unit tests. * fix(tests): Fixes style of phi-3 test file. * chore(tests): Adds integration tests for Phi-3. * fix(phi3): Removes additional flash-attention usage, .e.g, swiglu and rmsnorm. * fix(phi3): Fixes incorrect docstrings. * fix(phi3): Fixes docstring typos. * fix(phi3): Adds support for Su and Yarn embeddings. * fix(phi3): Improves according first batch of reviews. * fix(phi3): Uses up_states instead of y in Phi3MLP. * fix(phi3): Uses gemma rotary embedding to support torch.compile. * fix(phi3): Improves how rotary embedding classes are defined. * fix(phi3): Fixes inv_freq not being re-computed for extended RoPE. * fix(phi3): Adds last suggestions to modeling file. * fix(phi3): Splits inv_freq calculation in two lines. |
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Kamil Akesbi
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569743f510
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Add sdpa and fa2 the Wav2vec2 family. (#30121)
* add sdpa to wav2vec. Co-authored-by: kamilakesbi <kamil@huggingface.co> Co-authored-by: jp1924 <jp42maru@gmail.com> * add fa2 to wav2vec2 * add tests * fix attention_mask compatibility with fa2 * minor dtype fix * replace fa2 slow test * fix fa2 slow test * apply code review + add fa2 batch test * add sdpa and fa2 to hubert * sdpa and fa2 to data2vec_audio * sdpa and fa2 to Sew * sdpa to unispeech + unispeech sat * small fix * attention mask in tests Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add_speedup_benchmark_to_doc --------- Co-authored-by: kamil@huggingface.co <kamil.akesbi@gmail.com> Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Abhi Venigalla
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005b957fb8
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Add DBRX Model (#29921)
* wip * fix __init__.py * add docs * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * address comments 1 * work on make fixup * pass configs down * add sdpa attention * remove DbrxBlock * add to configuration_auto * docstring now passes formatting test * fix style * update READMEs * add dbrx to modeling_auto * make fix-copies generated this * add DBRX_PRETRAINED_CONFIG_ARCHIVE_MAP * config docstring passes formatting test * rename moe_loss_weight to router_aux_loss_coef * add to flash-attn documentation * fix model-path in tests * Explicitly make `"suli"` the default `ffn_act_fn` Co-authored-by: Wing Lian <wing.lian@gmail.com> * default to using router_aux_loss_coef over ffn_config[moe_loss_weight] * fix _flash_attn_uses_top_left_mask and is_causal * fix tests path * don't use token type IDs * follow Llama and remove token_type_ids from test * init ConfigTester differently so tests pass * remove multiple choice test * remove question + answer test * remove sequence classification test * remove token classification test * copy Llama tests and remove token_type_ids from test inputs * do not test pruning or headmasking; style code * add _tied_weights_keys parameter to pass test * add type hints * fix type check * update config tester * remove masked_lm test * remove encoder tests * initialize DbrxModelTester with correct params * style * torch_dtype does not rely on torch * run make fixup, fix-copies * use https://huggingface.co/v2ray/dbrx-base-fixed/blob/main/modeling_dbrx.py * add copyright info * fix imports and DbrxRotaryEmbedding * update DbrxModel docstring * use copies * change model path in docstring * use config in DbrxFFN * fix flashattention2, sdpaattention * input config to DbrXAttention, DbrxNormAttentionNorm * more fixes * fix * fix again! * add informative comment * fix ruff? * remove print statement + style * change doc-test * fix doc-test * fix docstring * delete commented out text * make defaults match dbrx-instruct * replace `router_aux_loss_coef` with `moe_loss_weight` * is_decoder=True * remove is_decoder from configtester * implement sdpa properly * make is_decoder pass tests * start on the GenerationTesterMixin tests * add dbrx to sdpa documentation * skip weight typing test * style * initialize smaller model Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * Add DBRX to toctree * skip test_new_cache_format * make config defaults smaller again * add pad_token_id * remove pad_token_id from config * Remove all references to DBRX_PRETRAINED_CONFIG_ARCHIVE_MAP * Update src/transformers/models/dbrx/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/dbrx/modeling_dbrx.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/dbrx.md Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * Update src/transformers/models/dbrx/configuration_dbrx.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/dbrx.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix typo * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * update docs, fix configuration_auto.py * address pr comments * remove is_decoder flag * slice * fix requires grad * remove grad * disconnect differently * remove grad * enable grads * patch * detach expert * nissan al ghaib * Update modeling_dbrx.py * Update src/transformers/models/dbrx/modeling_dbrx.py Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * replace "Gemma" with "Dbrx" * remove # type: ignore * don't hardcode vocab_size * remove ToDo * Re-add removed idefics2 line * Update test to use tiny-random! * Remove TODO * Remove one more case of loading the entire dbrx-instruct in the tests * Update src/transformers/models/dbrx/modeling_dbrx.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * address some comments * small model * add dbrx to tokenization_auto * More docstrings with add_start_docstrings * Dbrx for now * add PipelineTesterMixin * Update src/transformers/models/dbrx/configuration_dbrx.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * remove flash-attn2 import error * fix docstring Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add useage example * put on one line Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix ffn_act_fn Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * change "dbrx" to "DBRX" for display purposes. * fix __init__.py? * fix __init__.py * fix README * return the aux_loss * remove extra spaces * fix configuration_auto.py * fix format in tokenization_auto * remove new line * add more useage examples --------- Co-authored-by: Abhi Venigalla <abhi.venigalla@databricks.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Eitan Turok <eitan.turok@databricks.com> Co-authored-by: Eitan Turok <150733043+eitanturok@users.noreply.github.com> Co-authored-by: Wing Lian <wing.lian@gmail.com> Co-authored-by: Eitan Turok <eitanturok@gmail.com> Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> Co-authored-by: Matt <rocketknight1@gmail.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: Mihir Patel <mihir.v.patel7@gmail.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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tomeras91
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3f20877da9
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Add jamba (#29943)
* Add jamba arch * apply "make fix-copies" changes * fix link to model in JambaConfig docstring * Add n_ctx in modeling file because repo-consistency wants that * Add jamba to flash attention and sdpa documentation * mamba dt_proj quant fix now works for LoRA as well * override test_left_padding_compatibility and use a more permissive tolerance. left padding numerical difference are accentuated by mamba layers * add jamba to tokenization auto * fix comments of shape (PR #24 in the model page: https://huggingface.co/ai21labs/Jamba-v0.1/discussions/24) * simple PR fixes * remove unnecessary kwargs from JambaAttentionDecoderLayer and JambaMambaDecoderLayer * remove the LoRA hack for the mamba dt_proj bias. It was solved in huggingface/peft#1530 (https://github.com/huggingface/peft/pull/1530) * Add copied comment on JambaMLP (it's the same as MixtralMLP) * remove padding_mask warnings. It's not supported anymore * fix docstring. Float instead of int * A few more minor PR fixes * (1) lowercase names for mamba layernorms (2) remove _apply_inner_layernorms and do it directly in the forward pass * Return None attention weights from mamba layers. Append to all attentions only if not None. * remove some leftover jamba archive lists * Better separation between expert vs non-expert layers. non-expert layers return None as router_logits, and it is not concatenated to all_router_logits returned from JambaModel * no need to take router_logits at config.expert_layer_offset anymore. result.router_logits now holds results only for expert layers * Add Jamba paper on READMEs * (1) rename n_ctx -> max_position_embeddings (2) don't use it in the modeling file since it's not needed (set it as an exception to check_config_attributes) * Add copied from comment * remove the code path for apply_inner_layernorms=False. Jamba always has the inner mamba layernorms * clearer docstring for _convert_to_standard_cache * style fixes * Change calc_logits_for_entire_prompt (bool) to num_logits_to_keep (int). Adapt assisted decoding code tp use it. Also small change in low memory beam search decoding path to support this new int value in model_inputs * rename test so it still overrides what its meant to override * draft * oups * nit * remove more complexe logic * fix names used in config * fix fix fix * style * fix some more failing tests * generate did not init the cache 🙃 * more small nits * typo * config.mamba_expand * config.hidden_size for the intermediate size of the mamba shapes * fix init of pkv with torch.tensor() * empty tensor * fix some init issues * stupid changes required by generate because it does not even support it's own DynamicCache class * more fixes * fix general assisted gen cache_position bug * tests passing * Add offsets and periods as SPECIAL_CASES_TO_ALLOW in check_config_attributes.py * fix reorder_cache to reorder mamba states and override some more functions in HybridMambaAttentionDynamicCache * no need to override test_past_key_values_format() and _check_past_key_values_for_generate() in tests anymore * fix docstrings and typehints for past_key_values * style fixes * fix docs * change typehint due to copy from Mixtral * forgot import * import order * Add configuration_jamba and modeling_jamba to not_doctested because the model is too big to download (in docstring of JambaForCausalLM.forward) * Add integration test with tiny tandom Jamba model on hub * fix flash attention cache shapes * bring back forgotten hidden states * rename HybridMambaAttentionDynamicCache.seqlen_offset to has_previous_state (and make bool) and bugfix - it should be set to True after a finished forward pass of the entire model * align integration test after modeling fixes * bugfix - mamba can use precomputed states only of forward pass is on a single token * bugfix - mamba can use precomputed states only if they match the batch size * typo * remove making _prepare_4d_causal_attention_mask a leaf function * stop using past_seq_len.get_seq_length(). Use cache positions instead. Adjust test (test_decoder_model_past_with_large_inputs) accordingly --------- Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by: Joao Gante <joao@huggingface.co> |
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Alexander Visheratin
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b65df514d1
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Add Flash Attention 2 to M2M100 model (#30256)
* Added flash attention 2. * Fixes. * Fix inheritance. * Fixed init. * Remove stuff. * Added documentation. * Add FA2 to M2M100 documentation. * Add test. * Fixed documentation. * Update src/transformers/models/m2m_100/modeling_m2m_100.py Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update docs/source/en/model_doc/nllb.md Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fixed variable name. --------- Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Shane A
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e4ea19b958
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Add OLMo model family (#29890)
* Add OLMo using add-new-model-like with Llama * Fix incorrect tokenizer for OLMo * Copy-paste relevant OLMo methods and their imports * Add OLMo config * Modify OLMo config to follow HF conventions * Remove unneeded Llama code from OLMo model * Add ability for OLMo model to output attentions * Add OLMoPreTrainedModel and OLMoModel * Add OLMoForCausalLM * Minor fixes to OLMo model for style and missing functions * Implement OLMo tokenizer * Implement OLMo to HF conversion script * Add tests for OLMo model * Add tests for OLMo fast tokenizer * Add auto-generated dummy objects * Remove unimplemented OLMo classes from auto and init classes and re-format * Add README and associated auto-generated files * Use OLMo names for common properties * Run make fixup * Remove `|` from OLMo typing * Remove unneeded tokenization_olmo.py * Revert model, config and converter to add-new-model-like Llama * Move logic for adding bos/eos token into GPTNeoxTokenizerFast * Change OLMoConfig defaults to match OLMo-7B * Use GPTNeoXToknizerFast in OLMo tokenizer tests * Modify auto-generated OLMoModelTests to work for OLMo * Add non-parametric layer norm OLMoLayerNorm * Update weight conversion script for OLMo * Fix __init__ and auto structure for OLMo * Fix errors from make fixup * Remove OLMoTokenizerFast from documentation * Add missing 'Copied from' for OLMoModel._update_causal_mask * Run make fix-copies * Rearrange string replacements in OLMoForCausalLM Copied from * Move OLMo and Llama CausalLM.forward example into global constants * Fix OLMO_GENERATION_EXAMPLE doc string typo * Add option for qkv clipping to OLMo * Rearrange OLMoConfig kwargs in convert_olmo_weights_to_hf * Add clip_qkv to OLMoConfig in convert_olmo_weights_to_hf * Fix OLMo tokenization bug using conversion script * Keep model in full precision after conversion * Do not add eos token automatically * Update references to OLMo model in HF Hub * Do not add eos token during encoding by default * Fix Llama generation example * Run make fixup * OLMo 7B integration test fix * Remove unneeded special case for OLMoConfig * OLMo 7B Twin 2T integration test fix * Fix test_model_7b_greedy_generation * Remove test_compile_static_cache * Fix OLMo and Llama generation example * Run make fixup * Revert "OLMo 7B integration test fix" This reverts commit |