1. 03 Feb, 2023 1 commit
    • Matthijs Hollemans's avatar
      [WIP] add SpeechT5 model (#18922) · e4bacf66
      Matthijs Hollemans authored
      * make SpeechT5 model by copying Wav2Vec2
      
      * add paper to docs
      
      * whoops added docs in wrong file
      
      * remove SpeechT5Tokenizer + put CTC back in the name
      
      * remove deprecated class
      
      * remove unused docstring
      
      * delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead
      
      * remove classes we don't need right now
      
      * initial stab at speech encoder prenet
      
      * add more speech encoder prenet stuff
      
      * improve SpeechEncoderPrenet
      
      * add encoder (not finished yet)
      
      * add relative position bias to self-attention
      
      * add encoder CTC layers
      
      * fix formatting
      
      * add decoder from BART, doesn't work yet
      
      * make it work with generate loop
      
      * wrap the encoder into a speech encoder class
      
      * wrap the decoder in a text decoder class
      
      * changed my mind
      
      * changed my mind again ;-)
      
      * load decoder weights, make it work
      
      * add weights for text decoder postnet
      
      * add SpeechT5ForCTC model that uses only the encoder
      
      * clean up EncoderLayer and DecoderLayer
      
      * implement _init_weights in SpeechT5PreTrainedModel
      
      * cleanup config + Encoder and Decoder
      
      * add head + cross attention masks
      
      * improve doc comments
      
      * fixup
      
      * more cleanup
      
      * more fixup
      
      * TextDecoderPrenet works now, thanks Kendall
      
      * add CTC loss
      
      * add placeholders for other pre/postnets
      
      * add type annotation
      
      * fix freeze_feature_encoder
      
      * set padding tokens to 0 in decoder attention mask
      
      * encoder attention mask downsampling
      
      * remove features_pen calculation
      
      * disable the padding tokens thing again
      
      * fixup
      
      * more fixup
      
      * code review fixes
      
      * rename encoder/decoder wrapper classes
      
      * allow checkpoints to be loaded into SpeechT5Model
      
      * put encoder into wrapper for CTC model
      
      * clean up conversion script
      
      * add encoder for TTS model
      
      * add speech decoder prenet
      
      * add speech decoder post-net
      
      * attempt to reconstruct the generation loop
      
      * add speech generation loop
      
      * clean up generate_speech
      
      * small tweaks
      
      * fix forward pass
      
      * enable always dropout on speech decoder prenet
      
      * sort declaration
      
      * rename models
      
      * fixup
      
      * fix copies
      
      * more fixup
      
      * make consistency checker happy
      
      * add Seq2SeqSpectrogramOutput class
      
      * doc comments
      
      * quick note about loss and labels
      
      * add HiFi-GAN implementation (from Speech2Speech PR)
      
      * rename file
      
      * add vocoder to TTS model
      
      * improve vocoder
      
      * working on tokenizer
      
      * more better tokenizer
      
      * add CTC tokenizer
      
      * fix decode and batch_code in CTC tokenizer
      
      * fix processor
      
      * two processors and feature extractors
      
      * use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2
      
      * cleanup
      
      * more cleanup
      
      * even more fixup
      
      * notebooks
      
      * fix log-mel spectrograms
      
      * support reduction factor
      
      * fixup
      
      * shift spectrograms to right to create decoder inputs
      
      * return correct labels
      
      * add labels for stop token prediction
      
      * fix doc comments
      
      * fixup
      
      * remove SpeechT5ForPreTraining
      
      * more fixup
      
      * update copyright headers
      
      * add usage examples
      
      * add SpeechT5ProcessorForCTC
      
      * fixup
      
      * push unofficial checkpoints to hub
      
      * initial version of tokenizer unit tests
      
      * add slow test
      
      * fix failing tests
      
      * tests for CTC tokenizer
      
      * finish CTC tokenizer tests
      
      * processor tests
      
      * initial test for feature extractors
      
      * tests for spectrogram feature extractor
      
      * fixup
      
      * more fixup
      
      * add decorators
      
      * require speech for tests
      
      * modeling tests
      
      * more tests for ASR model
      
      * fix imports
      
      * add fake tests for the other models
      
      * fixup
      
      * remove jupyter notebooks
      
      * add missing SpeechT5Model tests
      
      * add missing tests for SpeechT5ForCTC
      
      * add missing tests for SpeechT5ForTextToSpeech
      
      * sort tests by name
      
      * fix Hi-Fi GAN tests
      
      * fixup
      
      * add speech-to-speech model
      
      * refactor duplicate speech generation code
      
      * add processor for SpeechToSpeech model
      
      * add usage example
      
      * add tests for speech-to-speech model
      
      * fixup
      
      * enable gradient checkpointing for SpeechT5FeatureEncoder
      
      * code review
      
      * push_to_hub now takes repo_id
      
      * improve doc comments for HiFi-GAN config
      
      * add missing test
      
      * add integration tests
      
      * make number of layers in speech decoder prenet configurable
      
      * rename variable
      
      * rename variables
      
      * add auto classes for TTS and S2S
      
      * REMOVE CTC!!!
      
      * S2S processor does not support save/load_pretrained
      
      * fixup
      
      * these models are now in an auto mapping
      
      * fix doc links
      
      * rename HiFiGAN to HifiGan, remove separate config file
      
      * REMOVE auto classes
      
      * there can be only one
      
      * fixup
      
      * replace assert
      
      * reformat
      
      * feature extractor can process input and target at same time
      
      * update checkpoint names
      
      * fix commit hash
      e4bacf66
  2. 31 Jan, 2023 1 commit
    • NielsRogge's avatar
      Add DETA (#20983) · 5451f889
      NielsRogge authored
      * First draft
      
      * Add initial draft of conversion script
      
      * Convert all weights
      
      * Fix config
      
      * Add image processor
      
      * Fix DetaImageProcessor
      
      * Run make fix copies
      
      * Remove timm dependency
      
      * Fix dummy objects
      
      * Improve loss function
      
      * Remove conv_encoder attribute
      
      * Update conversion scripts
      
      * Improve postprocessing + docs
      
      * Fix copied from statements
      
      * Add tests
      
      * Improve postprocessing
      
      * Improve postprocessing
      
      * Update READMEs
      
      * More improvements
      
      * Fix rebase
      
      * Add is_torchvision_available
      
      * Add torchvision dependency
      
      * Fix typo and README
      
      * Fix bug
      
      * Add copied from
      
      * Fix style
      
      * Apply suggestions
      
      * Fix thanks to @ydshieh
      
      * Fix another dependency check
      
      * Simplify image processor
      
      * Add scipy
      
      * Improve code
      
      * Add threshold argument
      
      * Fix bug
      
      * Set default threshold
      
      * Improve integration test
      
      * Add another integration test
      
      * Update setup.py
      
      * Address review
      
      * Improve deformable attention function
      
      * Improve copied from
      
      * Use relative imports
      
      * Address review
      
      * Replace assertions
      
      * Address review
      
      * Update dummies
      
      * Remove dummies
      
      * Address comments, update READMEs
      
      * Remove custom kernel code
      
      * Add image processor tests
      
      * Add requires_backends
      
      * Add minor comment
      
      * Update scripts
      
      * Update organization name
      
      * Fix defaults, add doc tests
      
      * Add id2label for object 365
      
      * Fix tests
      
      * Update task guide
      5451f889
  3. 25 Jan, 2023 1 commit
    • Anahita Bhiwandiwalla's avatar
      Add BridgeTower model (#20775) · 3a6e4a22
      Anahita Bhiwandiwalla authored
      
      
      * Commit with BTModel and latest HF code
      
      * Placeholder classes for BTForMLM and BTForITR
      
      * Importing Bert classes from transformers
      
      * Removed objectives.py and dist_utils.py
      
      * Removed swin_transformer.py
      
      * Add image normalization, BridgeTowerForImageAndTextRetrieval
      
      * Add center_crop
      
      * Removing bert tokenizer and LCI references
      
      * Tested config loading from HF transformers hub
      
      * Removed state_dict updates and added path to hub
      
      * Enable center crop
      
      * Getting image_size from config, renaming num_heads and num_layers
      
      * Handling max_length in BridgeTowerProcessor
      
      * Add BridgeTowerForMaskedLM
      
      * Add doc string for BridgeTowerConfig
      
      * Add doc strings for BT config, processor, image processor
      
      * Adding docs, removed swin
      
      * Removed convert_bridgetower_original_to_pytorch.py
      
      * Added doc files for bridgetower, removed is_vision
      
      * Add support attention_mask=None and BridgeTowerModelOutput
      
      * Fix formatting
      
      * Fixes with 'make style', 'make quality', 'make fixup'
      
      * Remove downstream tasks from BridgeTowerModel
      
      * Formatting fixes, add return_dict to BT models
      
      * Clean up after doc_test
      
      * Update BTModelOutput return type, fix todo in doc
      
      * Remove loss_names from init
      
      * implement tests and update tuples returned by models
      
      * Add image reference to bridgetower.mdx
      
      * after make fix-copies, make fixup, make style, make quality, make repo-consistency
      
      * Rename class names with BridgeTower prefix
      
      * Fix for image_size in BTImageProcessor
      
      * implement feature extraction bridgetower tests
      
      * Update image_mean and image_std to be list
      
      * remove unused import
      
      * Removed old comments
      
      * Rework CLIP
      
      * update config in tests followed config update
      
      * Formatting fixes
      
      * Add copied from for BridgeTowerPredictionHeadTransform
      
      * Update bridgetower.mdx
      
      * Update test_feature_extraction_bridgetower.py
      
      * Update bridgetower.mdx
      
      * BridgeTowerForMaskedLM is conditioned on image too
      
      * Add BridgeTowerForMaskedLM
      
      * Fixes
      
      * Call post_init to init weights
      
      * Move freeze layers into method
      
      * Remove BTFeatureExtractor, add BT under multimodal models
      
      * Remove BTFeatureExtractor, add BT under multimodal models
      
      * Code review feedback - cleanup
      
      * Rename variables
      
      * Formatting and style to PR review feedback
      
      * Move center crop after resize
      
      * Use named parameters
      
      * Style fix for modeling_bridgetower.py
      
      * Update docs/source/en/model_doc/bridgetower.mdx
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Update docs/source/en/model_doc/bridgetower.mdx
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Update docs/source/en/model_doc/bridgetower.mdx
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Update src/transformers/models/bridgetower/modeling_bridgetower.py
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Update src/transformers/models/bridgetower/modeling_bridgetower.py
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Update docs/source/en/model_doc/bridgetower.mdx
      Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
      
      * Update src/transformers/models/bridgetower/modeling_bridgetower.py
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Rename config params, copy BERT classes, clean comments
      
      * Cleanup irtr
      
      * Replace Roberta imports, add BTTextConfig and Model
      
      * Update docs, add visionconfig, consistent arg names
      
      * make fixup
      
      * Comments for forward in BTModel and make fixup
      
      * correct tests
      
      * Remove inconsistent roberta copied from
      
      * Add BridgeTowerTextModel to dummy_pt_objects.py
      
      * Add BridgeTowerTextModel to IGNORE_NON_TESTED
      
      * Update docs for BT Text and Vision Configs
      
      * Treat BridgeTowerTextModel as a private model
      
      * BridgeTowerTextModel as private
      
      * Run make fix-copies
      
      * Adding BTTextModel to PRIVATE_MODELS
      
      * Fix for issue with BT Text and Image configs
      
      * make style changes
      
      * Update README_ja.md
      
      Add 銇嬨倝 to BridgeTower's description
      
      * Clean up config, .mdx and arg names
      
      * Fix init_weights. Remove nn.Sequential
      
      * Formatting and style fixes
      
      * Re-add tie_word_embeddings in config
      
      * update test implementation
      
      * update style
      
      * remove commented out
      
      * fix style
      
      * Update README with abs for BridgeTower
      
      * fix style
      
      * fix mdx file
      
      * Update bridgetower.mdx
      
      * Update img src in bridgetower.mdx
      
      * Update README.md
      
      * Update README.md
      
      * resolve style failed
      
      * Update _toctree.yml
      
      * Update README_ja.md
      
      * Removed mlp_ratio, rename feats, rename BTCLIPModel
      
      * Replace BTCLIP with BTVisionModel,pass in vision_config to BTVisionModel
      
      * Add test_initialization support
      
      * Add support for output_hidden_states
      
      * Update support for output_hidden_states
      
      * Add support for output_attentions
      
      * Add docstring for output_hidden_states
      
      * update tests
      
      * add bridgetowervisionmodel as private model
      
      * rerun the PR test
      
      * Remove model_type, pass configs to classes, renames
      
      * Change self.device to use weight device
      
      * Remove image_size
      
      * Style check fixes
      
      * Add hidden_size and num_hidden_layers to BridgeTowerTransformer
      
      * Update device setting
      
      * cosmetic update
      
      * trigger test again
      
      * trigger tests again
      
      * Update test_modeling_bridgetower.py
      
      trigger tests again
      
      * Update test_modeling_bridgetower.py
      
      * minor update
      
      * re-trigger tests
      
      * Update docs/source/en/model_doc/bridgetower.mdx
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * Remove pad, update max_text_len, doc cleanup, pass eps to LayerNorm
      
      * Added copied to, some more review feedback
      
      * make fixup
      
      * Use BridgeTowerVisionEmbeddings
      
      * Code cleanup
      
      * Fixes for BridgeTowerVisionEmbeddings
      
      * style checks
      
      * re-tests
      
      * fix embedding
      
      * address comment on init file
      
      * retrigger tests
      
      * update import prepare_image_inputs
      
      * update test_image_processing_bridgetower.py to reflect test_image_processing_common.py
      
      * retrigger tests
      Co-authored-by: default avatarShaoyen Tseng <shao-yen.tseng@intel.com>
      Co-authored-by: default avatarTiep Le <tiep.le@intel.com>
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
      Co-authored-by: default avatarTiep Le <97980157+tileintel@users.noreply.github.com>
      3a6e4a22
  4. 20 Jan, 2023 1 commit
  5. 19 Jan, 2023 2 commits
    • Cl茅mentine Fourrier's avatar
      Graphormer model for Graph Classification (#20968) · 87208a05
      Cl茅mentine Fourrier authored
      
      
      * [FT] First commit for graphormer architecture.
      
      The model has no tokenizer, as it uses a collator and preprocessing function for its input management.
      Architecture to be tested against original one.
      The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read.
      TODO: doc
      
      * [FIX] removed test model
      
      * [FIX] import error
      
      * [FIX] black and flake
      
      * [DOC] added paper refs
      
      * [FIX] [DOC]
      
      * [FIX] black
      
      * [DOC] Updated READMEs
      
      * [FIX] Order of imports + rm Tokenizer calls
      
      * [FIX] Moved assert in class to prevent doc build failure
      
      * [FIX] make fix-copies
      
      * [Doc] update from code review
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * [FIX] Removed Graphormer from Sequence classification model list
      
      * [DOC] Added HF copyright to Cython file
      
      * [DOC] Fixed comments
      
      * [FIX] typos in class doc + removed config classes.
      
      Todo: update doc from paper definitions
      
      * [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management
      
      * [FIX] Homogeneized initialization of weights to pretrained constructor
      
      * [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation
      
      * [DOC] Relevant parameter description in the configuration file
      
      * [DOC] Updated doc and comments in main graphormer file
      
      * [FIX] make style and quality checks
      
      * [DOC] Fix doc format
      
      * [FIX] [WIP] Updated part of the tests, though still a wip
      
      * [FIX] [WIP]
      
      * [FIX] repo consistency
      
      * [FIX] Changed input names for more understandability
      
      * [FIX] [BUG] updated num_classes params for propagation in the model
      
      * simplified collator
      
      * [FIX] Updated tests to follow new naming pattern
      
      * [TESTS] Updated test suite along with model
      
      * |FIX] rm tokenizer import
      
      * [DOC] add link to graphormerdoc
      
      * Changed section in doc from text model to graph model
      
      * Apply suggestions from code review
      
      Spacing, inits
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * [DOC] Explain algos_graphormer functions
      
      * Cython soft import protection
      
      * Rm call to Callable in configuration graphormer
      
      * [FIX] replaced asserts with Exceptions
      
      * Add org to graphormer checkpoints
      
      * Prefixed classes with Graphormer
      
      * Management of init functions
      
      * format
      
      * fixes
      
      * fix length file
      
      * update indent
      
      * relaunching ci
      
      * Errors for missing cython imports
      
      * fix style
      
      * fix style doc
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      87208a05
    • Jitesh Jain's avatar
      Add OneFormer Model (#20577) · 5b949623
      Jitesh Jain authored
      * Add Oneformer Model
      
      * Add OneFormer Tests
      
      * Add UNIVERSAL_SEGMENTATION_MAPPING
      
      * Fix config
      
      * 馃悰 Fix error encountered while writing tests
      
      * 馃敤 Fix instance segmentation post processing
      
      * Format Files and Add Documentation
      
      * Add Documentation mdx file
      
      * Run make fixup
      
      * Run make fix-copies
      
      * Remove unnecessary code
      
      * Format modeling_oneformer.py
      
      * Add OneFormer to ImageSegmentationPipeline
      
      * Format files
      
      * Add Demo link to Readme
      
      * Fix fomatting errors
      
      * Fix test failures
      
      * Update Table in index.mdx
      
      * Fix version
      
      * Fix style
      
      * Remove OneFormer from TF
      
      * Fix Imports
      
      * Fix dummy objects
      
      * Fix tests
      
      * Add newline
      
      * Remove OneFormerFeatureExtractor
      
      * Remove CUDA Kernels
      
      * Use AutoBackbone for Swin
      
      * Fix description
      
      * Use Image Processor
      
      * Fix copies
      
      * Fix formatting
      
      * Fix import order
      
      * Fix flake8 errors
      
      * Fix doc errors
      
      * Add Hindi Readme entry
      
      * Update supported backbones
      
      * Update supported backbones
      
      * Undo Changes
      
      * Fix type of config
      
      * Fix isort
      
      * Fix auto.mdx
      
      * Fix swin config
      
      * Replace DinatBackbone with AutoBackbone
      
      * Use SwinBackbone
      
      * Use SwinBackbone
      
      * Fix conversion script
      
      * Fix arguments
      
      * Add argument description
      
      * Fix style
      
      * Add OneFormerProcessor
      
      * Fix OneFormerProcessor Tests
      
      * Fix mapping
      
      * Fix imports
      
      * Fix inits
      
      * Fix style
      
      * Fix comment
      
      * Fix docstring
      
      * Move OneFormer to MultiModal
      
      * Fix Copies
      
      * Remove size divisor
      
      * Fix check_repo.py
      
      * Fix copies
      
      * Add Processor for Testing Pipeline
      
      * Fix padding for tokens
      
      * Fix variables
      
      * Fix formatting with correct black version
      
      * Add Image Processor Test
      
      * Apply suggestions
      
      * Revert common modeling
      
      * Add check for task
      
      * Fix conversion script
      
      * Fix initialization order
      
      * Fix tests
      
      * Undo Pipeline Changes
      
      * Fix layers in MLP
      
      * Fix copies
      
      * Update image paths
      
      * Fix copies
      
      * Apply suggestions
      5b949623
  6. 16 Jan, 2023 2 commits
    • Alara Dirik's avatar
    • NielsRogge's avatar
      Add UperNet (#20648) · 4ed89d48
      NielsRogge authored
      
      
      * First draft
      
      * More improvements
      
      * Add convnext backbone
      
      * Add conversion script
      
      * Add more improvements
      
      * Comment out to_dict
      
      * Add to_dict method
      
      * Add default config
      
      * Fix config
      
      * Fix backbone
      
      * Fix backbone some more
      
      * Add docs, auto mapping, tests
      
      * Fix some tests
      
      * Fix more tests
      
      * Fix more tests
      
      * Add conversion script
      
      * Improve conversion script
      
      * Add support for getting reshaped undownsampled hidden states
      
      * Fix forward pass
      
      * Add print statements
      
      * Comment out set_shift_and_window_size
      
      * More improvements
      
      * Correct downsampling layers conversion
      
      * Fix style
      
      * First draft
      
      * Fix conversion script
      
      * Remove config attribute
      
      * Fix more tests
      
      * Update READMEs
      
      * Update ConvNextBackbone
      
      * Fix ConvNext tests
      
      * Align ConvNext with Swin
      
      * Remove files
      
      * Fix index
      
      * Improve docs
      
      * Add output_attentions to model forward
      
      * Add backbone mixin, improve tests
      
      * More improvements
      
      * Update init_weights
      
      * Fix interpolation of logits
      
      * Add UperNetImageProcessor
      
      * Improve image processor
      
      * Fix image processor
      
      * Remove print statements
      
      * Remove script
      
      * Update import
      
      * Add image processor tests
      
      * Remove print statements
      
      * Fix test
      
      * Add integration test
      
      * Add convnext integration test
      
      * Update docstring
      
      * Fix README
      
      * Simplify config
      
      * Apply suggestions
      
      * Improve docs
      
      * Rename class
      
      * Fix test_initialization
      
      * Fix import
      
      * Address review
      
      * Fix confg
      
      * Convert all checkpoints
      
      * Fix default backbone
      
      * Usage same processor as segformer
      
      * Apply suggestions
      
      * Fix init_weights, update conversion scripts
      
      * Improve config
      
      * Use Auto API instead of creating a new image processor
      
      * Fix docs
      
      * Add doctests
      
      * Remove ResNetConfig dependency
      
      * Add always_partition argument
      
      * Fix rebase茅
      
      * Improve docs
      
      * Convert checkpoints
      Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MBP.localdomain>
      4ed89d48
  7. 04 Jan, 2023 1 commit
  8. 03 Jan, 2023 1 commit
    • NielsRogge's avatar
      Add GIT (GenerativeImage2Text) (#20295) · 9c6f7485
      NielsRogge authored
      
      
      * First draft
      
      * Make model instantiation work
      
      * Fix copied from statement
      
      * More fixes
      
      * Add correct output head
      
      * Improve configuration
      
      * Add conversion script
      
      * Improve conversion script
      
      * Remove token_type_ids
      
      * Fix conversion of projection layers
      
      * Convert all weights
      
      * Use cats image
      
      * Make logits match
      
      * Generate caption on cats image
      
      * Add GITProcessor
      
      * Update conversion script
      
      * Add support for more checkpoints
      
      * Fix conversion script
      
      * Add initial tests
      
      * Remove cross-attention
      
      * More improvements
      
      * Remove is_decoder
      
      * Improve model tests
      
      * Improve tests
      
      * Improve model outputs
      
      * Fix model outputs equivalence
      
      * Fix more tests
      
      * Remove unused code
      
      * Use generate to generate text, no use of cache for now
      
      * Use generate more appropriately
      
      * Fix config tests
      
      * Fix style
      
      * Add support for use_cache
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * Fix style
      
      * Fix GIT vision encoder
      
      * Update README
      
      * Fix integration test
      
      * Set bos and eos token ids
      
      * Improve docs
      
      * Improve code
      
      * Add support for provided attention_mask
      
      * Add copied from statement
      
      * Fix gradient checkpointing test
      
      * Set model_input_names
      
      * Investigate model_input_names
      
      * Remove script
      
      * Fix model inputs
      
      * Fix docstring
      
      * Rename GIT to Git
      
      * Support more models
      
      * Add support for textvqa model
      
      * Add video support
      
      * Extend conversion script for video
      
      * Add support for large variant
      
      * Add support for more models
      
      * Fix config archive map
      
      * Update integration test
      
      * Fix README
      
      * Fix CLIP mean and std
      
      * Update processor
      
      * Fix use_cache for video, thanks @gante
      
      * Remove print statements
      
      * Remove assertion
      
      * Add processor tests
      
      * Fix model_input_names
      
      * Use Auto API for processor
      
      * Fix processor tests
      
      * Fix integration test
      
      * Fix pipeline test
      
      * Make tests faster
      
      * Update conversion script
      
      * Update conversion script
      
      * Convert more checkpoints
      
      * Update conversion script
      
      * Fix typo
      
      * Update docstrings
      
      * Improve code snippets
      
      * Fix doc tests
      
      * Add more code examples茅
      
      * Fix doc tests
      
      * Add integration tests
      
      * Fix unused variable
      
      * revert
      
      * Add GIT to Japanese README
      Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      9c6f7485
  9. 21 Dec, 2022 1 commit
  10. 19 Dec, 2022 1 commit
  11. 16 Dec, 2022 1 commit
    • NielsRogge's avatar
      Add Swin2SR (#19784) · 26dd041c
      NielsRogge authored
      
      
      * First draft
      
      * Add more improvements
      
      * Improve forward pass
      
      * Fix layernorm
      
      * Add upscaler
      
      * More improvements
      
      * More improvements
      
      * More improvements
      
      * Improve conversion script
      
      * Add preprocessing
      
      * Make output match original implementation
      
      * Add additional attributes
      
      * Add support for more models
      
      * Support more models
      
      * Add support for real world sr
      
      * Add initial Swin2SRFeatureExtractor
      
      * Add ImageSuperResolutionOutput
      
      * Make more tests pass
      
      * Use BaseModelOutput
      
      * Fix one more test
      
      * Fix more tests
      
      * Fix another test
      
      * Fix all tests
      
      * Rename to Swin2SRImageProcessor
      
      * Fix toctree
      
      * Fix toctree
      
      * Fix rebase
      
      * Improve Swin2SRImageProcessor
      
      * Remove feature extractor file
      
      * Improve model
      
      * Improve conversion script
      
      * Fix integration test
      
      * Fix init
      
      * Fix conversion script
      
      * Address comments
      
      * Improve upsampler
      
      * Add NearestConvUpsampler
      
      * Improve pixel shuffle upsampler
      
      * Improve auxiliary upsampler
      
      * Improve conversion script
      
      * Rename conv_last to final_convolution
      
      * Fix rebase
      
      * Improve upsample module
      
      * Add padding to image processor
      
      * Fix bug
      
      * Update padding
      
      * Remove print statement and fix integration test
      
      * Improve docs
      
      * Add image processor tests
      
      * Convert all checkpoints, fix tests茅
      
      * Remove print statements
      
      * Fix import
      Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      26dd041c
  12. 12 Dec, 2022 1 commit
    • Ariel Ekgren's avatar
      Add gpt-sw3 model to transformers (#20209) · 5f94855d
      Ariel Ekgren authored
      
      
      * Add templates for gpt-sw3
      
      * Add templates for gpt-sw3
      
      * Added sentencepiece tokenizer
      
      * intermediate commit with many changes
      
      * fixed conflicts
      
      * Init commit for tokenization port
      
      * Tokenization progress
      
      * Remove fast tokenizer
      
      * Clean up and rename spm.model -> spiece.model
      
      * Remove TF -> PT conversion script template, Clean up Megatron -> PT script
      
      * Optimize encode & decode performance
      
      * added new attention
      
      * added new attention
      
      * attention for gpt-sw3 working
      
      * attention good
      
      * Cache is now working
      
      * fixed attention mask so that it works with causal attention
      
      * fixed badbmm bug for cpu and caching
      
      * updated config with correct parameters
      
      * Refactor and leave optimizations as separate functions to avoid breaking expected functionality
      
      * Fix special tokens mapping for both tokenizers
      
      * cleaning up of code and comments
      
      * HF compatible attention outputs
      
      * Tokenizer now passing tests, add documentation
      
      * Update documentation
      
      * reverted back to base implementation after checking that it is identical to pretrained model
      
      * updated gpt-sw3 config
      
      * updated conversion script
      
      * aligned parameters with gpt-sw3 config
      
      * changed default scale_attn_by_inverse_layer_idx to true
      
      * removed flag from conversion script
      
      * added temporary model path
      
      * reverted back to functioning convert script
      
      * small changes to default config
      
      * updated tests for gpt-sw3
      
      * make style, make quality, minor cleanup
      
      * Change local paths to testing online repository
      
      * Change name: GptSw3 -> GPTSw3
      
      * Remove GPTSw3TokenizerFast references
      
      * Use official model repository and add more model sizes
      
      * Added reference to 6.7b model
      
      * Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel
      
      * Remove pointers to non-existing TFGPTSw3
      
      * Add GPTSw3 to docs/_toctree.yml
      
      * Remove TF artifacts from GPTSw3 in __init__ files
      
      * Update README:s with 'make fix-copies'
      
      * Add 20b model to archive list
      
      * Add documentation for GPT-Sw3
      
      * Fix typo in documentation for GPT-Sw3
      
      * Do 'make fix-copies' again after having updated docs
      
      * Fix some typos in docs
      
      * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/__init__.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/__init__.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Resolve comments from PR feedback
      
      * Resolve more comments from PR feedback, also set use_cache=True in convert script
      
      * Add '# Copied from' comments for GPTSw3 modeling
      
      * Set 'is_parallelizable = False'
      
      * Remove '# Copied from' where code was modified and add 'with x->y' when appropriate
      
      * Remove parallelize in mdx
      
      * make style, make quality
      
      * Update GPTSw3Config default values and corresponding documentation
      
      * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/__init__.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available
      
      * Make style, make quality
      
      * Add dummy object for GPTSw3Tokenizer via 'make fix-copies'
      
      * make fix-copies
      
      * Remove GPTSw3 modeling classes
      
      * make style, make quality
      
      * Add GPTSw3 auto-mappings for other GPT2 heads
      
      * Update docs/source/en/model_doc/gpt-sw3.mdx
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Remove old TODO-comment
      
      * Add example usage to GPTSw3Tokenizer docstring
      
      * make style, make quality
      
      * Add implementation details and example usage to gpt-sw3.mdx
      Co-authored-by: default avatarJoeyOhman <joeyoh@kth.se>
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      5f94855d
  13. 07 Dec, 2022 1 commit
  14. 06 Dec, 2022 1 commit
  15. 05 Dec, 2022 1 commit