Isaac Schifferer
61e98cb957
Add SDPA support for M2M100 ( #33309 )
...
* Add SDPA support for M2M100
* [run_slow] m2m_100, nllb
2024-09-25 18:04:42 +01:00
NielsRogge
06e27e3dc0
[Pixtral] Improve docs, rename model ( #33491 )
...
* Improve docs, rename model
* Fix style
* Update repo id
2024-09-25 13:53:12 +02:00
Yoni Gozlan
5f0c181f4e
Uniformize kwargs for image-text-to-text processors ( #32544 )
...
* uniformize FUYU processor kwargs
* Uniformize instructblip processor kwargs
* Fix processor kwargs and tests Fuyu, InstructBlip, Kosmos2
* Uniformize llava_next processor
* Fix save_load test for processor with chat_template only as extra init args
* Fix import Unpack
* Fix Fuyu Processor import
* Fix FuyuProcessor import
* Fix FuyuProcessor
* Add defaults for specific kwargs kosmos2
* Fix Udop to return BatchFeature instead of BatchEncoding and uniformize kwargs
* Add tests processor Udop
* remove Copied from in processing Udop as change of input orders caused by BatchEncoding -> BatchFeature
* Fix overwrite tests kwargs processors
* Add warnings and BC for changes in processor inputs order, change docs, add BC for text_pair as arg for Udop
* Fix processing test fuyu
* remove unnecessary pad_token check in instructblip ProcessorTest
* Fix BC tests and cleanup
* FIx imports fuyu
* Uniformize Pix2Struct
* Fix wrong name for FuyuProcessorKwargs
* Fix slow tests reversed inputs align fuyu llava-next, change udop warning
* Fix wrong logging import udop
* Add check images text input order
* Fix copies
* change text pair handling when positional arg
* rebase on main, fix imports in test_processing_common
* remove optional args and udop uniformization from this PR
* fix failing tests
* remove unnecessary test, fix processing utils and test processing common
* cleanup Unpack
* cleanup
* fix conflict grounding dino
2024-09-24 21:28:19 -04:00
jiqing-feng
11c27dd331
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 ac108c6d6b
2024-09-24 03:40:56 -06:00
amyeroberts
e71bf70e33
Pixtral update example checkpoint ( #33633 )
...
* Update pixtral example checkpoint
* Fix typo
2024-09-21 01:01:16 +01:00
Mayank Mishra
e472e077c2
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>
2024-09-21 01:43:50 +02:00
Omar Salman
653eb40425
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
2024-09-20 14:27:32 +01:00
Yoni Gozlan
f111d5b783
Uniformize kwargs for Paligemma processor and update docs ( #33571 )
...
* Uniformize paligemma processor
* nit
2024-09-19 14:14:06 -04:00
Yoach Lacombe
5af7d41e49
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>
2024-09-18 19:23:44 +02:00
Yoni Gozlan
d8500cd229
Uniformize kwargs for Pixtral processor ( #33521 )
...
* add uniformized pixtral and kwargs
* update doc
* fix _validate_images_text_input_order
* nit
2024-09-17 14:44:27 -04:00
Max Buckley
ac5a0556f1
Update chameleon.md — fix runtime type error ( #33494 )
...
Update chameleon.md
Fix error
RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same
2024-09-17 13:32:49 +02:00
Arthur
8bd2b1e8c2
Add support for Pixtral ( #33449 )
...
* initial commit
* gloups
* updates
* work
* weights match
* nits
* nits
* updates to support the tokenizer :)
* updates
* Pixtral processor (#33454 )
* rough outline
* Add in image break and end tokens
* Fix
* Udo some formatting changes
* Set patch_size default
* Fix
* Fix token expansion
* nit in conversion script
* Fix image token list creation
* done
* add expected results
* Process list of list of images (#33465 )
* updates
* working image and processor
* this is the expected format
* some fixes
* push current updated
* working mult images!
* add a small integration test
* Uodate configuration docstring
* Formatting
* Config docstring fix
* simplify model test
* fixup modeling and etests
* Return BatchMixFeature in image processor
* fix some copies
* update
* nits
* Update model docstring
* Apply suggestions from code review
* Fix up
* updates
* revert modeling changes
* update
* update
* fix load safe
* addd liscence
* update
* use pixel_values as required by the model
* skip some tests and refactor
* Add pixtral image processing tests (#33476 )
* Image processing tests
* Add processing tests
* woops
* defaults reflect pixtral image processor
* fixup post merge
* images -> pixel values
* oups sorry Mr docbuilder
* isort
* fix
* fix processor tests
* small fixes
* nit
* update
* last nits
* oups this was really breaking!
* nits
* is composition needs to be true
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-14 12:28:39 +02:00
Raushan Turganbay
2f611d30d9
Qwen2-VL: clean-up and add more tests ( #33354 )
...
* clean-up on qwen2-vl and add generation tests
* add video tests
* Update tests/models/qwen2_vl/test_processing_qwen2_vl.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix and add better tests
* Update src/transformers/models/qwen2_vl/image_processing_qwen2_vl.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* update docs and address comments
* Update docs/source/en/model_doc/qwen2_vl.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/qwen2_vl.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* update
* remove size at all
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-09-12 18:24:04 +02:00
Michael Currin
e0ff4321d1
Docs - update formatting of llama3 model card ( #33438 )
...
update formatting of llama3 content
2024-09-12 11:24:56 +02:00
Nilay Bhatnagar
eedd21b9e7
Fixed Majority of the Typos in transformers[en] Documentation ( #33350 )
...
* Fixed typo: insted to instead
* Fixed typo: relase to release
* Fixed typo: nighlty to nightly
* Fixed typos: versatible, benchamarks, becnhmark to versatile, benchmark, benchmarks
* Fixed typo in comment: quantizd to quantized
* Fixed typo: architecutre to architecture
* Fixed typo: contibution to contribution
* Fixed typo: Presequities to Prerequisites
* Fixed typo: faste to faster
* Fixed typo: extendeding to extending
* Fixed typo: segmetantion_maps to segmentation_maps
* Fixed typo: Alternativelly to Alternatively
* Fixed incorrectly defined variable: output to output_disabled
* Fixed typo in library name: tranformers.onnx to transformers.onnx
* Fixed missing import: import tensorflow as tf
* Fixed incorrectly defined variable: token_tensor to tokens_tensor
* Fixed missing import: import torch
* Fixed incorrectly defined variable and typo: uromaize to uromanize
* Fixed incorrectly defined variable and typo: uromaize to uromanize
* Fixed typo in function args: numpy.ndarry to numpy.ndarray
* Fixed Inconsistent Library Name: Torchscript to TorchScript
* Fixed Inconsistent Class Name: OneformerProcessor to OneFormerProcessor
* Fixed Inconsistent Class Named Typo: TFLNetForMultipleChoice to TFXLNetForMultipleChoice
* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch
* Fixed Inconsistent Function Name Typo: captureWarning to captureWarnings
* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch
* Fixed Inconsistent Class Name Typo: TrainingArgument to TrainingArguments
* Fixed Inconsistent Model Name Typo: Swin2R to Swin2SR
* Fixed Inconsistent Model Name Typo: EART to BERT
* Fixed Inconsistent Library Name Typo: TensorFLow to TensorFlow
* Fixed Broken Link for Speech Emotion Classification with Wav2Vec2
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed Punctuation: Two commas
* Fixed Punctuation: No Space between XLM-R and is
* Fixed Punctuation: No Space between [~accelerate.Accelerator.backward] and method
* Added backticks to display model.fit() in codeblock
* Added backticks to display openai-community/gpt2 in codeblock
* Fixed Minor Typo: will to with
* Fixed Minor Typo: is to are
* Fixed Minor Typo: in to on
* Fixed Minor Typo: inhibits to exhibits
* Fixed Minor Typo: they need to it needs
* Fixed Minor Typo: cast the load the checkpoints To load the checkpoints
* Fixed Inconsistent Class Name Typo: TFCamembertForCasualLM to TFCamembertForCausalLM
* Fixed typo in attribute name: outputs.last_hidden_states to outputs.last_hidden_state
* Added missing verbosity level: fatal
* Fixed Minor Typo: take To takes
* Fixed Minor Typo: heuristic To heuristics
* Fixed Minor Typo: setting To settings
* Fixed Minor Typo: Content To Contents
* Fixed Minor Typo: millions To million
* Fixed Minor Typo: difference To differences
* Fixed Minor Typo: while extract To which extracts
* Fixed Minor Typo: Hereby To Here
* Fixed Minor Typo: addition To additional
* Fixed Minor Typo: supports To supported
* Fixed Minor Typo: so that benchmark results TO as a consequence, benchmark
* Fixed Minor Typo: a To an
* Fixed Minor Typo: a To an
* Fixed Minor Typo: Chain-of-though To Chain-of-thought
2024-09-09 10:47:24 +02:00
Niklas Muennighoff
03164ba14e
Add paper link ( #33305 )
2024-09-05 15:49:28 +02:00
Raushan Turganbay
43df47d8e7
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>
2024-09-05 14:43:20 +05:00
Niklas Muennighoff
ecd61c6286
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
2024-09-03 18:43:12 +02:00
Omar Salman
03c12d0d63
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
2024-09-03 14:01:00 +01:00
Sergio Paniego Blanco
28952248b1
Fixed typo repeated word in DETR docs ( #33250 )
2024-09-02 17:19:18 +02:00
Mayank Mishra
c35d2ccf5a
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>
2024-08-27 21:27:21 +02:00
Juan Pizarro
7591ca5bc5
🚨 Add Blip2ForImageTextRetrieval ( #29261 )
...
* add Blip2ForImageTextRetrieval
* use one line and remove unnecessary space in tests
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* use value from the config, rather than hardcoded
* change order of params in Blip2QFormerModel.forward
* update docstring
* fix style
* update test_inference_opt
* move embeddings out of Blip2QFormerModel
* remove from_vision_qformer_configs
* remove autocast float16 in Blip2QFormerModel
* rename fiels into vision_projection,text_projection,use_image_text_matching_head
* use CLIPOutput for Blip2ImageTextMatchingModelOutput
* remove past_key_values_length from Blip2TextEmbeddings
* fix small typo in the CLIPOutput docstring
* add Blip2ForImageTextRetrieval to Zero Shot Image Classification mapping
* update docstring and add require_torch_fp16
* rollback test_inference_opt
* use use_image_text_matching_head=True in convert
* skip test_model_get_set_embeddings
* fix create_rename_keys error on new itm fields
* revert to do scale after dot product between "query" and "key"
* fix ValueError on convert script for blip2-opt-2.7b
* update org of paths to Salesforce
* add is_pipeline_test_to_skip for VisualQuestionAnsweringPipelineTests
* [run_slow] blip_2
* removed Blip2ForImageTextRetrieval from IGNORE_NON_AUTO_CONFIGURED
* fix docstring of Blip2ImageTextMatchingModelOutput
* [run_slow] blip_2
* fix multi-gpu tests
* [run_slow] blip_2
* [run_slow] blip_2
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-08-27 18:50:27 +01:00
Vaibhav Srivastav
6f0ecf1049
[docs] add quick usage snippet to Whisper. ( #31289 )
...
* [docs] add quick usage snippet to Whisper.
* Apply suggestions from review.
* 💉 Fix the device for pipeline.
2024-08-27 14:11:52 +02:00
Pablo Montalvo
26f043bd4d
quickfix documentation ( #32566 )
...
* fix documentation
* update config
2024-08-26 17:49:44 +02:00
Ritik Nandwal
a378a54a57
Add changes for uroman package to handle non-Roman characters ( #32404 )
...
* Add changes for uroman package to handle non-Roman characters
* Update docs for uroman changes
* Modifying error message to warning, for backward compatibility
* Update instruction for user to install uroman
* Update docs for uroman python version dependency and backward compatibility
* Update warning message for python version compatibility with uroman
* Refine docs
2024-08-26 17:07:01 +02:00
Shijie
19e6e80e10
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>
2024-08-26 15:16:44 +02:00
Kamil Akesbi
8260cb311e
Add Descript-Audio-Codec model ( #31494 )
...
* dac model
* original dac works
* add dac model
* dac can be instatiated
* add forward pass
* load weights
* all weights are used
* convert checkpoint script ready
* test
* add feature extractor
* up
* make style
* apply cookicutter
* fix tests
* iterate on FeatureExtractor
* nit
* update dac doc
* replace nn.Sequential with nn.ModuleList
* nit
* apply review suggestions 1/2
* Update src/transformers/models/dac/modeling_dac.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* up
* apply review suggestions 2/2
* update padding in FeatureExtractor
* apply review suggestions
* iterate on design and tests
* add integration tests
* feature extractor tests
* make style
* all tests pass
* make style
* fixup
* apply review suggestions
* fix-copies
* apply review suggestions
* apply review suggestions
* Update docs/source/en/model_doc/dac.md
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* Update docs/source/en/model_doc/dac.md
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* anticipate transfer weights to descript
* up
* make style
* apply review suggestions
* update slow test values
* update slow tests
* update test values
* update with CI values
* update with vorace values
* update test with slice
* make style
---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
2024-08-19 10:21:51 +01:00
MAHIR DAIYAN
843e5e20ca
Add Flax Dinov2 ( #31960 )
...
* tfmsenv restored in main
* installed flax
* forward pass done and all tests passed
* make fix-copies and cleaning the scripts
* fixup attempt 1
* fixup attempt 2
* fixup third attempt
* fixup attempt 4
* fixup attempt 5
* dinov2 doc fixed
* FlaxDinov2Model + ForImageClassification added to OBJECTS_TO_IGNORE
* external pos_encoding layer removed
* fixup attempt 6
* fixed integration test values
* fixup attempt 7
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* comments removed
* comment removed from the test
* fixup
* Update src/transformers/models/dinov2/modeling_flax_dinov2.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* new fixes 1
* interpolate_pos_encoding function removed
* droppath rng fixed, pretrained beit copied-from still not working
* modeling_flax_dinov2.py reformatted
* Update tests/models/dinov2/test_modeling_flax_dinov2.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* added Copied from, to the tests
* copied from statements removed from tests
* fixed copied from statements in the tests
* [run_slow] dinov2
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
2024-08-19 09:28:13 +01:00
Yangshen⚡Deng
a27182b7fc
Fix AutoConfig and AutoModel support for Llava-Next-Video ( #32844 )
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* Fix: fix all model_type of Llava-Next-Video to llava_next_video
* Fix doc for llava_next_video
* * Fix formatting issues
* Change llava-next-video.md file name into llava_next_video.md to make it compatible with implementation
* Fix docs TOC for llava-next-video
2024-08-16 12:41:05 +01:00
Quentin Gallouédec
f1c8542ff7
"to be not" -> "not to be" ( #32636 )
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* "to be not" -> "not to be"
* Update sam.md
* Update trainer.py
* Update modeling_utils.py
* Update test_modeling_utils.py
* Update test_modeling_utils.py
2024-08-12 20:20:17 +01:00
Younes Belkada
7c11491208
Add new model ( #32615 )
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* v1 - working version
* fix
* fix
* fix
* fix
* rename to correct name
* fix title
* fixup
* rename files
* fix
* add copied from on tests
* rename to `FalconMamba` everywhere and fix bugs
* fix quantization + accelerate
* fix copies
* add `torch.compile` support
* fix tests
* fix tests and add slow tests
* copies on config
* merge the latest changes
* fix tests
* add few lines about instruct
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* fix
* fix tests
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-12 08:22:47 +02:00
Yunfei Chu
16ed0640be
Add Qwen2-Audio ( #32137 )
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* 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>
2024-08-08 15:47:24 +02:00
Raushan Turganbay
7ad784ae9d
Gemma2: add cache warning ( #32279 )
...
* gemma2 fallback to dynamic cache
* Update src/transformers/models/gemma2/modeling_gemma2.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/gemma2/modeling_gemma2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* raise error and dont fallback to dynamic cache
* prev will break most forward calls/tests
* Update src/transformers/models/gemma2/modeling_gemma2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* update
* fix copies
---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-07 10:03:05 +05:00
Chris Toukmaji
50c3ba889a
Documentation: BOS token_id deprecation change for NLLB ( #32443 )
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Update nllb.md
2024-08-06 09:22:08 -07:00
Pablo Montalvo
80b90e7b2f
Add codestral mamba2 ( #32080 )
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* add new model like
* draft cuda forward - mismatched keys (sharding on conv1)
* match keys successfully
* fix split
* get generation/forward running (wrong gens, norm?)
* :update
* some refactoring
* fixes
* works up until copy to cache
* fix
* update
* NON WORKING VERSION
* version that work?
* nit
* fix config
* fix conversion script
* working cuda forward
* nit
* update
* simplifcation
* make mamba slow simple work
* no einops
* todo
* fix style
* no einops
* update fix no einsum
* nit
* remove einops
* bug: scan_output differs strongly
* add rms norm option
* fix fast + slow generation with and w/o cache ✔️
* draft integration tests
* remove a big chunk of the einsum
* fix slow, fast generations, without any einsum
* fix copies
* fix structure
* fix up modeling and tests
* fix tests
* clamping is indeed worse
* recover mamba2 cache test
* fix copies
* no cache position (yet)
* fix tf tests
* fix matmul for generate
* fixup
* skip cache tests for now
* [run-slow]mamba2
* tune out hidden states for padding
* test batched generation
* propagate attention mask changes
* fix past length
* fix integration test
* style
* address comments
* update readme
* add mamba2 version check
* fix tests
* [run-slow]mamba2
* skip edge tests
* [run-slow]mamba2
* last fixup
* [run-slow]mamba2
* update README
---------
Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
2024-08-06 16:39:52 +02:00
Ao Tang
6a03942db7
Add Nemotron HF Support ( #31699 )
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* 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
2024-08-06 15:42:05 +02:00
Francisco Kurucz
13dc6b0853
Fix documentation links and code reference to model llava-next ( #32434 )
2024-08-05 15:14:50 -07:00
Raushan Turganbay
2af199c42b
Update docs ( #32368 )
...
nits
2024-08-02 09:54:16 +05:00
Sanchit Gandhi
e234061cdd
[whisper] compile compatibility with long-form decoding ( #31772 )
...
* [whisper] compile compatibility with long-form decoding
* clarify comment
* fix after rebase
* finalise
* fix bsz
* fix cache split
* remove contiguous
* style
* finish
* update doc
* prevent cuda graph trace
2024-08-01 18:10:56 +08:00
Pavel Iakubovskii
9d6c0641c4
Fix code snippet for Grounding DINO ( #32229 )
...
Fix code snippet for grounding-dino
2024-07-25 19:20:47 +01:00
Dr. Artificial曾小健
5f4ee98a7a
Update qwen2.md ( #32108 )
...
* Update qwen2.md
outdated description
* Update qwen2.md
amended
* Update qwen2.md
Update
* Update qwen2.md
fix wrong version code, now good to go
2024-07-24 11:54:41 +01:00
Raushan Turganbay
3aefb4ec7f
LLaVaNeXT: pad on right if training ( #32134 )
...
* pad on right if training
* docs
* add tests
2024-07-23 10:23:55 +05:00
James Thewlis
251a2409c6
Add llama3-llava-next-8b to llava_next conversion script ( #31395 )
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* Add llama3-llava-next-8b to llava_next conversion script
Adds support for the lmms-lab/llama3-llava-next-8b model to the
convert_llava_next_weights_to_hf.py script, along with an example
prompt generated from the llava_llama_3 conv_template in the LLaVA-NeXT
repo.
* Exclude <|begin_of_text|> from prompt example
This token gets added automatically, so it should not be included in the
prompt example.
* Add llava-next-72b and llava-next-110b
Adds the Qwen-based LLaVA-Next models to the conversion script, along
with changes to load the models on multiple GPUs for inference.
* Add llama3 and qwen prompt formats to docs
* Chat prompt and padding side left for llama3 batched
* update
* Update src/transformers/models/llava_next/convert_llava_next_weights_to_hf.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/llava_next/convert_llava_next_weights_to_hf.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* remove code
* better naming
---------
Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-23 10:12:16 +05:00
Bertrand Thia
7987710696
[RoBERTa] Minor clarifications to model doc ( #31949 )
...
* minor edits and clarifications
* address comment
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-07-22 10:08:27 -07:00
Lucain
f2a1e3ca68
Mention model_info.id instead of model_info.modelId ( #32106 )
2024-07-22 14:14:47 +01:00
Raushan Turganbay
fe008d6ebe
Chameleon: not supported with fast load ( #32091 )
...
fixes
2024-07-19 19:21:45 +05:00
Merve Noyan
4bd8f12972
Fixes to chameleon docs ( #32078 )
...
* Fixes
* Let's not use auto
2024-07-19 12:50:34 +01:00
Raushan Turganbay
e316c5214f
VideoLLaVa: fix chat format in docs ( #32083 )
...
fix chat format
2024-07-19 15:38:01 +05:00
NielsRogge
56a7745704
[Chameleon, Hiera] Improve docs ( #32038 )
...
* Improve docs
* Fix docs
* Fix code snippet
2024-07-19 11:20:03 +03:00
Raushan Turganbay
b873234cb6
Llava: add default chat templates ( #31691 )
...
* add default chat templates
* Update src/transformers/models/llava/processing_llava.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/llava_next/processing_llava_next.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* more clear docstring and docs
* Update docs/source/en/model_doc/llava.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update docs/source/en/model_doc/vipllava.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* add tests
* remove default templates (see #31733 )
* load chat template from another file
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* revert some changes in docs
* forgot vipllava
* chat template file is not temporary hack
* warn if loading from processor
* not that file
* similarly modify `save_pretrained`
* Update tests/models/llava_next/test_processor_llava_next.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/vipllava/test_processor_vipllava.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/vipllava.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/processing_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/processing_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/vipllava.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/llava.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/llava.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/processing_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2024-07-19 10:08:56 +05:00
Raushan Turganbay
673d30b826
Chameleon: minor fixes after shipping ( #32037 )
...
* fix merging
* make chameleon conditional
2024-07-18 16:54:07 +05:00
Pavel Iakubovskii
1c37e8c1a6
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 dc123e71ef37a1cb35b8
2024-07-18 10:30:37 +05:30
Raushan Turganbay
24cfcc2114
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>
2024-07-17 10:41:43 +05:00
Naman Garg
c1e139c2b0
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>
2024-07-11 22:13:56 +01:00
NielsRogge
ec03d97b27
[RT-DETR] Add resources ( #31815 )
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* Add resources
* Address comments
2024-07-10 16:34:53 +01:00
Raushan Turganbay
97aa3e2905
Add conversion for interleave llava ( #31858 )
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* add conversion for interleave llava
* remove debug lines
* remove unused imports
* Update src/transformers/models/llava/convert_llava_weights_to_hf.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* small changes + docs
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-10 12:12:21 +05:00
hatti
350aed7076
chore: remove duplicate words ( #31853 )
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remove duplicate words
2024-07-09 10:38:29 +01:00
Pavel Iakubovskii
a177821b24
Add FA2 and sdpa support for SigLIP ( #31499 )
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* 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
2024-07-08 11:10:02 +01:00
NielsRogge
06fd7972ac
Add ZoeDepth ( #30136 )
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* First draft
* Add docs
* Clean up code
* Convert model
* Add image processor
* Convert Zoe_K
* More improvements
* Improve variable names and docstrings
* Improve variable names
* Improve variable names
* Replace nn.sequential
* More improvements
* Convert ZoeD_NK
* Fix most tests
* Verify pixel values
* Verify pixel values
* Add squeeze
* Update beit to support arbitrary window sizes
* Improve image processor
* Improve docstring
* Improve beit
* Improve model outputs
* Add figure
* Fix beit
* Update checkpoint
* Fix repo id
* Add _keys_to_ignore_on_load_unexpected
* More improvements
* Address comments
* Address comments
* Address comments
* Address comments
* Rename variable name
* Add backbone_hidden_size
* Vectorize
* Vectorize more
* Address comments
* Clarify docstring
* Remove backbone_hidden_size
* Fix image processor
* Remove print statements
* Remove print statement
* Add integration test
* Address comments
* Address comments
* Address comments
* Address comments
* Add requires_backends
* Clean up
* Simplify conversion script
* Simplify more
* Simplify more
* Simplify more
* Clean up
* Make sure beit is loaded correctly
* Address comment
* Address bin_configurations
* Use bin_configurations
* Convert models, add integration tests
* Fix doc test
* Address comments
* Unify regressor classes
* Clarify arguments
* Improve resize_image
* Add num_relative_features
* Address comment
* [run-slow]beit,data2vec,zoedepth
* [run-slow]beit,data2vec,zoedepth
* Address comments
* Address comment
* Address comment
* Replace nn.TransformerEncoderLayer and nn.TransformerEncoder
* Replace nn.MultiheadAttention
* Add attributes for patch transformer to config
* Add tests for ensure_multiple_of
* Update organization
* Add tests
* [run-slow] beit data2vec
* Update ruff
* [run-slow] beit data2vec
* Add comment
* Improve docstrings, add test
* Fix interpolate_pos_encoding
* Fix slow tests
* Add docstring
* Update src/transformers/models/zoedepth/image_processing_zoedepth.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/zoedepth/image_processing_zoedepth.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Improve tests and docstrings
* Use run_common_tests
* Improve docstrings
* Improve docstrings
* Improve tests
* Improve tests
* Remove print statements
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-08 11:43:33 +02:00
Pedro Cuenca
1082361a19
Depth Anything: update conversion script for V2 ( #31522 )
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* Depth Anything: update conversion script for V2
* Update docs
* Style
* Revert "Update docs"
This reverts commit be0ca47ea1https://github.com/huggingface/transformers/pull/19892/files
* Add tip in original docs
2024-07-05 19:28:41 +01:00
Billy Cao
1d3eaa6f7e
Add training support for SigLIP ( #31495 )
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* Add siglip loss function
* Update docs
* Enable training tests
[experimental] enable GC training tests as it has worked for my own data
* Remove test_training* overrides to enable training tests
[run_slow] siglip
* Skip training tests for Siglip text model and ImageClassificationModel
[run_slow] siglip
* Skip GC training tests for SiglipForImageClassification
* Explicitly skip training tests for SiglipVisionModel
Add skip reason for training tests for SiglipTextModel
* Remove copied from to fix CI
2024-07-05 14:50:39 +01:00
Jörg Bornschein
f91c16d270
Fix documentation for Gemma2. ( #31682 )
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* Fix documentation for Gemma2.
Model sizes and Blog post URL are wrong in the documentation.
* Update docs/source/en/model_doc/gemma2.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-02 23:04:53 +01:00
Sanchit Gandhi
a9701953ff
[whisper] static kv cache ( #31166 )
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* make work with cache abstraction
* correct for static cache
* hacks for compile
* make fast
* fix
* fix pos ids
* generate
* fix sdpa
* fix sdpa cache pos
* fix fa2
* clean fa2
* integrate cache into generate
* make style
* copies
* more copies
* update eager
* update sdpa
* update fa2
* simplify
* use cache pos
* always compute cross-cache for debug
* avoid recompiles
Co-authored-by: Arthur Zucker <arthur@huggingface.co>
* fix fix
* fix fix fix
* more fix
* try encoder-decoder cache (too messy)
* revert encoder-decoder cache
* check cross-attn cache
* use enc-dec dataclass
* use richer enc-dec dataclass
* clean-up
* revert static cache changes
* small fixes
* revert to cpu flag
* fix copies
* add static slow test
* past k/v docstring
* more docstrings
* cache_position docstrings
* add to docs
* add enc-dec cache to docs
* make style
* fix after rebase
* fix beam
* style
* fix generation strategies
* fix most decoder-only tests
* style
* skip test
* more clean up
* small docstrings
* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* add todo
* only crop self-attn
* check cache in mixin
* style
* fix re-compile after rebase
* move `is_updated` logic to enc-dec wrapper
* revert back
* revert cache back
* finalise design
* fix
* fix fix
* style
* Update src/transformers/cache_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* deprecate
* updates
* final updates
* style
* style
---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-07-02 13:24:15 +01:00
Steven Liu
464aa74659
[docs] Llama3 ( #31662 )
...
quick usage to top
2024-06-27 10:32:51 -07:00
Arthur
0cf60f13ab
Add gemma 2 ( #31659 )
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* inital commit
* Add doc
* protect?
* fixup stuffs
* update tests
* fix build documentation
* mmmmmmm config attributes
* style
* nit
* uodate
* nit
* Fix docs
* protect some stuff
---------
Co-authored-by: Lysandre <lysandre@huggingface.co>
2024-06-27 17:36:19 +02:00
Raushan Turganbay
e71f2863d7
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>
2024-06-26 21:52:28 +05:00
Pavel Iakubovskii
ac52084bf2
Update RT-DETR code snippet ( #31631 )
...
Update code snippet
2024-06-26 14:42:20 +01:00
Anton Vlasjuk
b07770c5eb
[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
2024-06-26 13:56:36 +01:00
Raushan Turganbay
fc689d75a0
Add video modality for InstrucBLIP ( #30182 )
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* 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
2024-06-25 15:45:39 +05:00
Sangbum Daniel Choi
74a207404e
New model support RTDETR ( #29077 )
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* fill out docs string in configuration
75dcd3a0e8 (r1506391856)https://github.com/huggingface/transformers/pull/29077#discussion_r1516657790
* simple typo
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* intermediate fix
* fix with load_backbone format
* remove unused configuration
* 3 fix test left
* make style
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: Sounak Dey <dey.sounak@gmail.com>
* change last_hidden_state to first index
* all pass fix
TO DO: minor update in comments
* make fix-copies
* remove deepcopy
* pr_document fix
* revert deepcopy due to the issue of unexpceted behavior in decoderlayer
* add atol in final
* add no_split_module
* _no_split_modules = None
* device transfer for model parallelism
* minor fix
* make fix-copies
* fix typo
* add test_image_processor with post_processing
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add config in RTDETRPredictionHead
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* set lru_cache with max_size 32
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add lru_cache import and configuration change
* change the order of definition
* make fix-copies
* add docs and change config error
* revert strange make-fix
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* test pass
* fix get_clones related and remove deepcopy
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* nit for paper section
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* rename denoising related parameters
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* check the image transformation logic
* make style
* make style
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* pe_encoding -> positional_encoding_temperature
* remove TODO
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* remove eval_idx since transformer DETR is giving all decoder output
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* change variable name
* make style and docs import update
* Revert "Update src/transformers/models/rt_detr/image_processing_rt_detr.py"
This reverts commit 74aa3e1de0ccb7a34051d136225cd3
2024-06-21 17:50:08 +01:00
Billy Cao
cd5f7c1790
Add docs on zeroshot image classification prompt templates ( #31343 )
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* Add docs on pipeline templates
* Fix example and comments
Update usage tips
* Update docs/source/en/tasks/zero_shot_image_classification.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/model_doc/siglip.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Trigger CI
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-06-19 11:11:44 +01:00
Anton Vlasjuk
b275a41005
[GPT2] Add SDPA support ( #31172 )
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* `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
2024-06-19 09:40:57 +02:00
amyeroberts
f53fe35b29
Fast image processor ( #28847 )
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* Draft fast image processors
* Draft working fast version
* py3.8 compatible cache
* Enable loading fast image processors through auto
* Tidy up; rescale behaviour based on input type
* Enable tests for fast image processors
* Smarter rescaling
* Don't default to Fast
* Safer imports
* Add necessary Pillow requirement
* Woops
* Add AutoImageProcessor test
* Fix up
* Fix test for imagegpt
* Fix test
* Review comments
* Add warning for TF and JAX input types
* Rearrange
* Return transforms
* NumpyToTensor transformation
* Rebase - include changes from upstream in ImageProcessingMixin
* Safe typing
* Fix up
* convert mean/std to tesnor to rescale
* Don't store transforms in state
* Fix up
* Update src/transformers/image_processing_utils_fast.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Warn if fast image processor available
* Update src/transformers/models/vit/image_processing_vit_fast.py
* Transpose incoming numpy images to be in CHW format
* Update mapping names based on packages, auto set fast to None
* Fix up
* Fix
* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test
* Update src/transformers/models/vit/image_processing_vit_fast.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Add equivalence and speed tests
* Fix up
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
2024-06-11 15:47:38 +01:00
Pavel Iakubovskii
517df566f5
Decorators for deprecation and named arguments validation ( #30799 )
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* Fix do_reduce_labels for maskformer image processor
* Deprecate reduce_labels in favor to do_reduce_labels
* Deprecate reduce_labels in favor to do_reduce_labels (segformer)
* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)
* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)
* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)
* Fix typo
* Update mask2former test
* fixup
* Update segmentation examples
* Update docs
* Fixup
* Imports fixup
* Add deprecation decorator draft
* Add deprecation decorator
* Fixup
* Add deprecate_kwarg decorator
* Validate kwargs decorator
* Kwargs validation (beit)
* fixup
* Kwargs validation (mask2former)
* Kwargs validation (maskformer)
* Kwargs validation (oneformer)
* Kwargs validation (segformer)
* Better message
* Fix oneformer processor save-load test
* Update src/transformers/utils/deprecation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* Better handle classmethod warning
* Fix typo, remove warn
* Add header
* Docs and `additional_message`
* Move to filter decorator ot generic
* Proper deprecation for semantic segm scripts
* Add to __init__ and update import
* Basic tests for filter decorator
* Fix doc
* Override `to_dict()` to pop depracated `_max_size`
* Pop unused parameters
* Fix trailing whitespace
* Add test for deprecation
* Add deprecation warning control parameter
* Update generic test
* Fixup deprecation tests
* Introduce init service kwargs
* Revert popping unused params
* Revert oneformer test
* Allow "metadata" to pass
* Better docs
* Fix test
* Add notion in docstring
* Fix notification for both names
* Add func name to warning message
* Fixup
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
2024-06-10 12:35:10 +01:00
Vaibhav Srivastav
4a6024921f
doc: add info about wav2vec2 bert in older wav2vec2 models. ( #31120 )
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* doc: add info about wav2vec2 bert in older wav2vec2 models.
* apply suggestions from review.
* forward contrib credits from review
---------
Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.github.com>
2024-06-05 11:56:11 +01:00
Younes Belkada
485d913dfb
Blip: Deprecate BlipModel ( #31235 )
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* deprecate blip
* mention deprecation on docs
2024-06-04 18:29:45 +02:00
Pavel Iakubovskii
cdc813113a
Instance segmentation examples ( #31084 )
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* Initial setup
* Metrics
* Overfit on two batches
* Train 40 epochs
* Memory leak debugging
* Trainer fine-tuning
* Draft
* Fixup
* Trained end-to-end
* Add requirements
* Rewrite evaluator
* nits
* Add readme
* Add instance-segmentation to the table
* Support void masks
* Remove sh
* Update docs
* Add pytorch test
* Add accelerate test
* Update examples/pytorch/instance-segmentation/README.md
* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py
* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py
* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py
* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py
* Fix consistency oneformer
* Fix imports
* Fix imports sort
* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update examples/pytorch/instance-segmentation/run_instance_segmentation.py
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
* Add resources to docs
* Update examples/pytorch/instance-segmentation/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update examples/pytorch/instance-segmentation/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Remove explicit model_type argument
* Fix tests
* Update readme
* Note about other models
---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-31 16:56:17 +01:00
Asif Ajrof
bd9d1ddf41
Update sam.md ( #31130 )
...
`mask` variable is not defined. probably a writing mistake. it should be `segmentation_map`. `segmentation_map` should be a `1` channel image rather than `RGB`.
[on a different note, the `mask_url` is the same as `raw_image`. could provide a better example.
2024-05-31 12:34:29 +02:00
amyeroberts
a564d10afe
Deprecate low use models ( #30781 )
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* Deprecate models
- graphormer
- time_series_transformer
- xlm_prophetnet
- qdqbert
- nat
- ernie_m
- tvlt
- nezha
- mega
- jukebox
- vit_hybrid
- x_clip
- deta
- speech_to_text_2
- efficientformer
- realm
- gptsan_japanese
* Fix up
* Fix speech2text2 imports
* Make sure message isn't indented
* Fix docstrings
* Correctly map for deprecated models from model_type
* Uncomment out
* Add back time series transformer and x-clip
* Import fix and fix-up
* Fix up with updated ruff
2024-05-28 18:07:07 +01:00
NielsRogge
90da0b1c9f
[SuperPoint, PaliGemma] Update docs ( #31025 )
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* Update docs
* Add PaliGemma resources
* Address comment
* Update docs
2024-05-28 13:22:06 +02:00
Eitan Turok
0a064dc0fc
Follow up: Fix link in dbrx.md ( #30514 )
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* Fix link in dbrx.md
* remove "though this may not be up to date"
---------
Co-authored-by: Lysandre Debut <hi@lysand.re>
2024-05-27 14:57:43 +02:00
Aritra Roy Gosthipaty
965e98dc54
[Port] TensorFlow implementation of Mistral ( #29708 )
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* chore: initial commit
* chore: adding imports and inits
* chore: adding the causal and classification code
* chore: adding names to the layers
* chore: using single self attn layer
* chore: built the model and layers
* chore: start with testing
* chore: docstring change, transpose fix
* fix: rotary embedding
* chore: adding cache implementation
* remove unused torch
* chore: fixing the indexing issue
* make fix-copies
* Use modeling_tf_utils.keras
* make fixup
* chore: fixing tests
* chore: adding past key value logic
* chore: adding multi label classfication test
* fix: switching on the built parameters in the layers
* fixing repo consistency
* ruff formats
* style changes
* fix: tf and pt equivalence
* removing returns from docstrings
* fix docstrings
* fix docstrings
* removing todos
* fix copies
* fix docstring
* fix docstring
* chore: using easier rotate_half
* adding integration tests
* chore: addressing review related to rotary embedding layer
* review changes
* [run-slow] mistral
* skip: test save load after resize token embedding
* style
---------
Co-authored-by: Matt <rocketknight1@gmail.com>
2024-05-23 17:48:49 +01:00
Vaibhav Srivastav
24d2a5e1a3
[doc] Add references to the fine-tuning blog and distil-whisper to Whisper. ( #30938 )
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[doc] Add references to the fine-tuning blog and distil-whisper to Whisper doc.
2024-05-22 14:06:09 +01:00
Raushan Turganbay
934e1b84e9
Update video-llava docs ( #30935 )
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* update video-llava
* Update docs/source/en/model_doc/video_llava.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-22 16:56:41 +05:00
NielsRogge
60bb571e99
🚨 [Idefics2] Update ignore index ( #30898 )
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* Update ignore index
* Update docs
* Update docs
2024-05-21 19:38:02 +02:00
Raushan Turganbay
5d0bf59b4d
LLaVa-Next: Update docs with batched inference ( #30857 )
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* update docs with batch ex
* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* accept nested list of img
---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2024-05-20 13:45:56 +05:00
Joseph Enguehard
07bf2dff78
Add TokenClassification for Mistral, Mixtral and Qwen2 ( #29878 )
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* Add MistralForTokenClassification
* Add tests and docs
* Add token classification for Mixtral and Qwen2
* Save llma for token classification draft
* Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2
* Formatting
* Add token classification support for Qwen2Moe model
* Add dropout layer to each ForTokenClassification model
* Add copied from in tests
* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
* Propagate suggested changes
* Style
---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-05-20 10:06:57 +02:00
Raushan Turganbay
95b3c3814d
Video-LLaVa: Fix docs ( #30855 )
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fix model id in docs
2024-05-16 17:23:01 +05:00
NielsRogge
17cc71e149
[Idefics2] Improve docs, add resources ( #30717 )
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* Add resources
* Address comment
* Address comments
* Update docs/source/en/model_doc/idefics2.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update figure
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-16 12:22:13 +02:00
hyenal
1c21f48a50
add sdpa to ViT [follow up of #29325 ] ( #30555 )
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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>
2024-05-16 10:56:11 +01:00
Raushan Turganbay
bd9f4d7951
Add Video Llava ( #29733 )
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* 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>
2024-05-15 16:42:29 +05:00
Pablo Montalvo
1360801a69
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>
2024-05-14 22:07:15 +02:00
Yikang Shen
ccdabc5642
Add JetMoE model ( #30005 )
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* 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>
2024-05-14 16:32:01 +02:00
Jacky Lee
449894d2e5
Fix OWLv2 Doc ( #30794 )
...
fix: owlv2 doc
2024-05-14 08:36:11 +02:00
Alazar
94306352f4
Port IDEFICS to tensorflow ( #26870 )
...
* Initial commit
* Just a copy of modeling_idefics.py that will be ported to TF
* - Prepend TF to the name of all classes
- Convert pytorch ops to TF (not all operations are converted yet)
* Add TF imports
* Add autotranslated files
* Add TF classes to model_tf_auto.py
* Add the TF classes in model_doc
* include auto-translated code
* Adopted from auto-translated version
* Add a forgotten super().build
* Add test code for TF version.
* Fix indentation and load pytorch weights for now
* Some fixes. Many tests are still failing but some are passing now.
- I have added TODO's for some of the hacks I made to unblock me
and I will address them soon
- I have the processing_idefics.py hacked in my view to support TF temporarily
* Add ALL_LAYERNORM_LAYERS to match pytorch
* Revert "Add ALL_LAYERNORM_LAYERS to match pytorch"
This reverts commit 7e0a35119b4d7a6284d04d8c543fba1b29e573c9 as it
is not needed in the tf implementation.
* Fix freeze_relevant_params()
* Some more fixes
* Fix test_attention_outputs
* Add tf stuff to processing_idefics.py
processing_idefics.py supports both pytorch and tf now.
test_processor_idefics.py for pytorch is passing, so i didn't break anything
but still some issues with tf. I also need to add tf tests in
test_processor_idefics.py.
* Pass return_tensors to image processing code and fix test
* Pass return_tensors to the image processor __init__
* Fix several test cases
- Make input to some of the forward pass of type `TFModelInputType`
- Decorate main layer forward pass with `@unpack_inputs`
- Decorate main layer with `@keras_serializable`
- Pass `inputs` to TFIdeficsModel
* Some more fixes forgotten in last commit
* Fix processing code and vision_tf.py
* Fix perceiver bug
* Import from
* Auto-add build() methods + style pass
* Fix build() errors due to `None` being passed as shape to some layers
* Change name in TFIdeficsForVisionText2Text to attribute in IdeficsForVisionText2Text
* Fix pytorch weights load for tf2
There were a lot of `name=` missing in weight initialization code.
* Attempt to fix CI
* Add back accidently removed line
* Remove torch-specific stuff from the TF test file
* make fix-copies, make style, remove autotranslated files
* Fixes to imports/docstrings
* Let's try the from future import in desperation
* Fix the core random_attention_mask fn to match the torch/flax behaviour
* Clean random_attention_mask up correctly
* Remove torch-only test
* Fix loss shape, couple of nits
* make style
* Don't test for OOB embeddings because IDEFICS uses those deliberately
* Fix loss computation to handle masking
* Fix test failures when flattening
* Fix some test failures
- Add cross attention gate which was missing and wasn't being passed arround
- Fix overwriting of image_attention_mask due to hack I had for dummy inputs
* Add a proper stateless scaled_dot_product_attention
* make style
* Adding missing attribute from the PyTorch version
* Small cleanups to decoupledlinearlayer in case that helps
* Pass epsilon to LayerNormalization
* Attemp to fix pytorch weight cross-loading for TFIdeficsEmbedding
* Fix a bug in TFIdeficsGatedCrossAttentionLayer
* Patching up build() methods
* Constant self.inv_freq
* Constant self.inv_freq
* First working version
The TF implementation works now, there was a bug in the TFIdeficsDecoupledLinear
where the weights were mis-intialized (in_features,out_features)
when it should be: (out_features, in_features)
I have tested this so far with tiny-random and idefics-9b-instruct
and gives correct output.
I also dumped the final outputs for both pytorch and TF
and they are identical.
* Fix some test failures
* remove print statement
* Fix return_tensors
* Fix CI test failure check_code_quality
* Attempt to fix CI failures by running `make fixup`
The hardcoded IDs in test_modeling_tf_idefics.py are for the integration
test and makes that file unreadable and should probably be moved to a seperate file.
* Attempt to fix tests_pr_documentation_tests
* Fix a test failure in test_image_processing_idefics.py
* Fix test test_pt_tf_model_equivalence
* Fix a few failures
* Tiny fix
* Some minor fixes
* Remove a duplicate test
* Override a few test failures for IDEFICS
- `test_keras_save_load` is passing now
- `test_compile_tf_model` is still failing
* Fix processing_idefics.py after rebase
* Guard import keras with is_tf_available
* fix check code quality
* fix check code quality
* Minor fixes
* Skip test_save_load temporarily
This test passed on my local box but fails on the CI, skipping
for now to see if there are other remaining failures on the CI.
* Run `ruff format tests src utils`
* Fix last failing test, `test_compile_tf_model`
* Add fixes for vision_tf.py
I forgot to add this file in last commit.
* Minor fixes
* Replace "<<<" with "<<" for doc tests
IDEFICS-9B is too big for doctest runner, so don't run it there
* Make code more readable
* Fix bug after code review
I added a layer_norm_eps to IdeficsConfig but I don't even need it
since the vision config has a layer_norm_eps.
* Fix after code review
Use original code tokenizer.convert_tokens_to_ids
* Keep PyTorch as the default return_tensors
* Fixes to modeling_tf after code review
* Fixes from code review
- Remove all references of `TF_IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST`
- Pass 1e-5 to LayerNormalization in perceiver
* Run ruff
* Undo a change
* Refactor processing code after Matt's suggestion
* Remove TODO's that aren't needed anymore
* For pytorch, Use original pytorch processing code from main
Since this PR is a TF port it shouldn't make any modifications
to pytorch IDEFICS code. This changes undo's the pytorch processing
modifications I made and uses original code from main.
* Update tests/models/idefics/test_modeling_idefics.py
* Update tests/models/idefics/test_modeling_tf_idefics.py
* Add missing imports for is_pt_tf_cross_test
* [DO NOT MERGE]: This is a commit for debugging and will be reverted
The cross test `test_pt_tf_model_equivalence` passes locally but
fails when running on the CI. This commit is to help debug that
and will be reverted.
* Revert "[DO NOT MERGE]: This is a commit for debugging and will be reverted"
This reverts commit 8f0d709ec5bd46685fb0b4259d914ffee794875b.
* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted
* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted
* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"
This reverts commit 998cc38b8c3d313bf5e5eb55a7f5b7b881897b89.
* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"
This reverts commit 1c695ac4219c4ae4d39b330b01744dc27deb7dd4.
* Don't skip test_save_load
IIRC test_save_load was also failing on the CI but not on my local
box, it might be easier to debug that on the CI first than the cross tests
* Debugging commit, will be reverted
* Revert "Debugging commit, will be reverted"
This reverts commit 8eafc8e41e20c4e95a3a90834f06a6e9f445e2d5.
* Override `test_save_load` and push model to save
Maybe this will help me repro this weird bug
* pass my repo_id
* add endpoint
* Pass a temp (write) token just for this CI
* Undo last few commits, still pushing to hub for model debugging
The issue seems to be with save_pretrained(), when I looked at the model saved
from the CI test failure it is basically empty and has no weights.
`self.save_weights(..)` seems to be failing in save_pretrained but needs
more debugging
* Add logging to modeling tf utils, will be reverted just for debugging
* Debugging, will revert
* Revert "Debugging, will revert"
This reverts commit 9d0d3075fb7c82d8cde3a5c76bc8f3876c5c55d3.
* Revert "Add logging to modeling tf utils, will be reverted just for debugging"
This reverts commit 774b6b7b1c17b3ce5d7634ade768f2f686cee617.
* Remove `test_save_load`
The CI failures are gone after my latest rebase, no idea why
but I was still saving the model to my hub on HF and the tf_model.h5
file now has everything.
* Run make fix-copies
* Run ruff format tests src utils
* Debugging commit, will be reverted
* Run ruff, also trigger CI run
* Run ruff again
* Undo debugging commit
---------
Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
2024-05-13 15:59:46 +01:00
Sungkyun Chang
73fcfb2861
Update llama3.md, fix typo ( #30739 )
...
Update llama3.md
fix typo again
2024-05-10 12:40:57 +01:00
Omar Sanseviero
c99d88e520
Update CodeLlama references ( #30218 )
...
* Update CodeLlama references
* Update slow_documentation_tests.txt
* Update slow_documentation_tests.txt
2024-05-09 22:57:52 +02:00
Pavel Iakubovskii
998dbe068b
Add examples for detection models finetuning ( #30422 )
...
* Training script for object detection
* Evaluation script for object detection
* Training script for object detection with eval loop outside trainer
* Trainer DETR finetuning
* No trainer DETR finetuning
* Eval script
* Refine object detection example with trainer
* Remove commented code and enable telemetry
* No trainer example
* Add requirements for object detection examples
* Add test for trainer example
* Readme draft
* Fix uploading to HUB
* Readme improvements
* Update eval script
* Adding tests for object-detection examples
* Add object-detection example
* Add object-detection resources to docs
* Update README with custom dataset instructions
* Update year
* Replace valid with validation
* Update instructions for custom dataset
* Remove eval script
* Remove use_auth_token
* Add copied from and telemetry
* Fixup
* Update readme
* Fix id2label
* Fix links in docs
* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Move description to the top
* Fix Trainer example
* Update no trainer example
* Update albumentations version
---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2024-05-08 11:42:07 +01:00
Sungkyun Chang
277db238b7
Fix typo: llama3.md ( #30653 )
...
Update llama3.md
fix typo
2024-05-06 15:54:39 +02:00
amitportnoy
801894e08c
phi3 chat_template does not support system role ( #30606 )
...
* phi3 chat_template does not support system role
* fix doc test error
2024-05-02 15:30:21 +02:00
