Commit Graph

69 Commits

Author SHA1 Message Date
NielsRogge
2ab790e82d
Add Donut (#18488)
* First draft

* Improve script

* Update script

* Make conversion work

* Add final_layer_norm attribute to Swin's config

* Add DonutProcessor

* Convert more models

* Improve feature extractor and convert base models

* Fix bug

* Improve integration tests

* Improve integration tests and add model to README

* Add doc test

* Add feature extractor to docs

* Fix integration tests

* Remove register_buffer

* Fix toctree and add missing attribute

* Add DonutSwin

* Make conversion script work

* Improve conversion script

* Address comment

* Fix bug

* Fix another bug

* Remove deprecated method from docs

* Make Swin and Swinv2 untouched

* Fix code examples

* Fix processor

* Update model_type to donut-swin

* Add feature extractor tests, add token2json method, improve feature extractor

* Fix failing tests, remove integration test

* Add do_thumbnail for consistency

* Improve code examples

* Add code example for document parsing

* Add DonutSwin to MODEL_NAMES_MAPPING

* Add model to appropriate place in toctree

* Update namespace to appropriate organization

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-08-12 16:40:58 +02:00
NielsRogge
f9a0008d2d
Add VideoMAE (#17821)
* First draft

* Add VideoMAEForVideoClassification

* Improve conversion script

* Add VideoMAEForPreTraining

* Add VideoMAEFeatureExtractor

* Improve VideoMAEFeatureExtractor

* Improve docs

* Add first draft of model tests

* Improve VideoMAEForPreTraining

* Fix base_model_prefix

* Make model take pixel_values of shape (B, T, C, H, W)

* Add loss computation of VideoMAEForPreTraining

* Improve tests

* Improve model testsé

* Make all tests pass

* Add VideoMAE to main README

* Add tests for VideoMAEFeatureExtractor

* Add integration test

* Improve conversion script

* Rename patch embedding class

* Remove VideoMAELayer from init

* Update design of patch embeddings

* Improve comments

* Improve conversion script

* Improve conversion script

* Add conversion of pretrained model

* Add loss verification of pretrained model

* Add loss verification of unnormalized targets

* Add integration test for pretraining model

* Apply suggestions from code review

* Fix bug to make feature extractor resize only shorter edge

* Address more comments

* Improve normalization of videos

* Add doc examples

* Move constants to dedicated script

* Remove scripts

* Transfer checkpoints, fix docs

* Update script

* Update image mean and std

* Fix doc tests

* Set return_tensors to NumPy by default

* Revert the previous change

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-08-04 18:02:55 +02:00
Ritik Nandwal
e87ac9d18b
Add swin transformer v2 (#17469)
* Add files generated using transformer-cli add-new-model-like command

* Add changes for swinv2 attention and forward method

* Add fixes

* Add modifications for weight conversion and remaining args in swin model

* Add changes for patchmerging

* Add changes for SwinV2selfattention

* Update conversion script

* Add final fixes for the swin_v2 model

* Add changes for conversion script for pretrained window size case

* Add pretrained window size value from config in SwinV2Encoder class

* Make fixup

* Add swinv2 to models_not_in_readme to utils/check_copies.py

* Modify Swinv2v2 to Swin Transformer V2

* Remove copied from, to run make fixup command

* Add updates to swinv2tf from main branch

* Add pretrained_window_size to config, to make tests pass

* Add modified weights from nandwalritik profile for swinv2

* Update model weights from swinv2 from nandwalritik profile

* Add fix for build_pr_documentation CI fix

* Add fixes for weight conversion

* Add change to make input with padding work

* Add fixes for test cases

* Add few changes from swin to swinv2 to pass test cases

* Remove tests for tensorflow as swinv2 for TF is not added yet

* Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet

* Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now.

* Update docs url for swinv2 in README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Undo changes for check_repo

* Update url in readme.md

* Remove overrided function to test pt_tf_model_equivalence

* Remove TF model imports for Swinv2 as its not implemented in this PR

* Add changes for index.mdx

* Add swinv2 papers link,abstract and contributors details

* Rename cpb_mlp to continous_position_bias_mlp

* Add tips for swinv2 model

* Update src/transformers/models/swinv2/configuration_swinv2.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/swinv2/configuration_swinv2.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fix indentation for docstring example in src/transformers/models/swinv2/configuration_swinv2.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update import order in src/transformers/models/swinv2/configuration_swinv2.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add copyright statements in weights conversion script.

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove Swinv2 from models_not_in_readme

* Reformat code

* Remove TF implementation file for swinv2

* Update start docstring.

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add changes for docstring

* Update orgname for weights to microsoft

* Remove to_2tuple function

* Add copied from statements wherever applicable

* Add copied from to Swinv2ForMaskedImageModelling class

* Reformat code.

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add unittest.skip(with reason.) for test_inputs_embeds test case.

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add updates for test_modeling_swinv2.py

* Add @unittest.skip() annotation for clarity to create_and_test_config_common_properties function

* Add continuous_position_bias_mlp parameter to conversion script

* Add test for testing masked_image_modelling for swinv2

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add suggested changes

* Add copied from to forward methods of Swinv2Stage and Swinv2Encoder

* Add push_to_hub flag to weight conversion script

* Change order or Swinv2DropPath class

* Add id2label mapping for imagenet 21k

* Add updated url for SwinV2 functions and classes used in implementation

* Update input_feature dimensions format, mentioned in comments.

Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* Add suggested changes for modeling_swin2.py

* Update docs

* Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient.

* Fix indentation.

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add changes for making Nit objects in code style

* Add suggested changes

* Add suggested changes for test_modelling_swinv2

* make fix-copies

* Update docs/source/en/model_doc/swinv2.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-07-27 11:14:47 -04:00
Lysandre
c89a592e87 Dev version 2022-07-27 17:13:57 +02:00
Alara Dirik
12d66b4701
Add OWL-ViT model for zero-shot object detection (#17938)
* add owlvit model skeleton

* add class and box predictor heads

* convert modified flax clip to pytorch

* fix box and class predictors

* add OwlViTImageTextEmbedder

* convert class and box head checkpoints

* convert image text embedder checkpoints

* add object detection head

* fix bugs

* update conversion script

* update conversion script

* fix q,v,k,out weight conversion conversion

* add owlvit object detection output

* fix bug in image embedder

* fix bugs in text embedder

* fix positional embeddings

* fix bug in inference mode vision pooling

* update docs, init tokenizer and processor files

* support batch processing

* add OwlViTProcessor

* remove merge conflicts

* readd owlvit imports

* fix bug in OwlViTProcessor imports

* fix bugs in processor

* update docs

* fix bugs in processor

* update owlvit docs

* add OwlViTFeatureExtractor

* style changes, add postprocess method to feature extractor

* add feature extractor and processor tests

* add object detection tests

* update conversion script

* update config paths

* update config paths

* fix configuration paths and bugs

* fix bugs in OwlViT tests

* add import checks to processor

* fix docs and minor issues

* fix docs and minor issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* update docs and examples

* fix bugs and issues

* update conversion script, fix positional embeddings

* process 2D input ids, update tests

* fix style and quality issues

* update docs

* update docs and imports

* update OWL-ViT index.md

* fix bug in OwlViT feature ext tests

* fix code examples, return_dict by default

* return_dict by default

* minor fixes, add tests to processor

* small fixes

* add output_attentions arg to main model

* fix bugs

* remove output_hidden_states arg from main model

* update self.config variables

* add option to return last_hidden_states

* fix bug in config variables

* fix copied from statements

* fix small issues and bugs

* fix bugs

* fix bugs, support greyscale images

* run fixup

* update repo name

* merge OwlViTImageTextEmbedder with obj detection head

* fix merge conflict

* fix merge conflict

* make fixup

* fix bugs

* fix bugs

* add additional processor test
2022-07-22 13:35:32 +03:00
Lysandre Debut
c1c79b0655
NLLB tokenizer (#18126)
* NLLB tokenizer

* Apply suggestions from code review - Thanks Stefan!

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Final touches

* Style :)

* Update docs/source/en/model_doc/nllb.mdx

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* PR reviews

* Auto models

Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-07-18 08:12:34 -04:00
Matthijs Hollemans
fbc7598bab
add MobileViT model (#17354)
* add MobileViT

* fixup

* Update README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* remove empty line

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* use clearer variable names

* rename to MobileViTTransformerLayer

* no longer inherit from nn.Sequential

* fixup

* fixup

* not sure why this got added twice

* rename organization for checkpoints

* fix it up

* Update src/transformers/models/mobilevit/__init__.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/configuration_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/configuration_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/configuration_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/mobilevit/test_modeling_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/modeling_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/modeling_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/modeling_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mobilevit/modeling_mobilevit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* code style improvements

* fixup

* Update docs/source/en/model_doc/mobilevit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/mobilevit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/mobilevit/configuration_mobilevit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/mobilevit/configuration_mobilevit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* download labels from hub

* rename layers

* rename more layers

* don't compute loss in separate function

* remove some nn.Sequential

* replace nn.Sequential with new MobileViTTransformer class

* replace nn.Sequential with MobileViTMobileNetLayer

* fix pruning since model structure changed

* fixup

* fix doc comment

* remove custom resize from feature extractor

* fix ONNX import

* add to doc tests

* use center_crop from image_utils

* move RGB->BGR flipping into image_utils

* fix broken tests

* wrong type hint

* small tweaks

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-06-29 16:07:51 -04:00
StevenTang1998
3cff4cc587
Add MVP model (#17787)
* Add MVP model

* Update README

* Remove useless module

* Update docs

* Fix bugs in tokenizer

* Remove useless test

* Remove useless module

* Update vocab

* Remove specifying

* Remove specifying

* Add #Copied ... statement

* Update paper link

* Remove useless TFMvp

* Add #Copied ... statement

* Fix style in test mvp model

* Fix some typos

* Fix properties of unset special tokens in non verbose mode

* Update paper link

* Update MVP doc

* Update MVP doc

* Fix README

* Fix typos in docs

* Update docs
2022-06-29 09:30:55 -04:00
Jerry Jiarui XU
6c8f4c9a93
Adding GroupViT Models (#17313)
* add group vit and fixed test (except slow)

* passing slow test

* addressed some comments

* fixed test

* fixed style

* fixed copy

* fixed segmentation output

* fixed test

* fixed relative path

* fixed copy

* add ignore non auto configured

* fixed docstring, add doc

* fixed copies

* Apply suggestions from code review

merge suggestions

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolve comment, renaming model

* delete unused attr

* use fix copies

* resolve comments

* fixed attn

* remove unused vars

* refactor tests

* resolve final comments

* add demo notebook

* fixed inconsitent default

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename stage->stages

* Create single GroupViTEncoderLayer class

* Update conversion script

* Simplify conversion script

* Remove cross-attention class in favor of GroupViTAttention

* Convert other model as well, add processor to conversion script

* addressing final comment

* fixed args

* Update src/transformers/models/groupvit/modeling_groupvit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-06-28 20:51:47 +02:00
rooa
d6b6fb9963
Add CodeGen model (#17443)
* Add CodeGen model

* Add missing key and switch order of super()

* Fix torch.ones init with uint8 instead of bool

* Address comments: copy statements and doc

* update tests

* remove old model parallel

* fix batch gen tests

* fix batch gen test

* update test_gpt2_sample_max_time

* fix codgen test and revert gpt2 test change

* Fix incorrect tie_word_embedding value, typo, URL

* Fix model order in README and styling

* Reorder model list alphabetically

* Set tie_word_embedding to False by default

* Apply suggestions from code review

* Better attn mask name & remove attn masked_bias

* add tokenizer for codegen

* quality

* doc tokenizer

* fix-copies

* add CodeGenTokenizer in converter

* make truncation optional

* add test for truncation

* add copyright

* fix-copies

* fix fast tokenizer decode

* Update src/transformers/models/codegen/tokenization_codegen.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* increase vocab_size in tests

Co-authored-by: patil-suraj <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-06-24 17:10:38 +02:00
Sijun He
7cf52a49de
Nezha Pytorch implementation (#17776)
* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

* Update src/transformers/pipelines/visual_question_answering.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* address comments

* Update src/transformers/pipelines/visual_question_answering.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* merge

* wip

* wip

* wip

* most basic tests passes

* all tests pass now

* relative embedding

* wip

* running make fixup

* remove bert changes

* fix doc

* fix doc

* fix issues

* fix doc

* address comments

* fix CI

* remove redundant copied from

* address comments

* fix broken test

Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2022-06-23 12:36:22 -04:00
Patrick von Platen
8fcbe275c3
Add UL2 (just docs) (#17740)
* Add UL2
Co-authored-by: Daniel Hesslow <Daniel.Hesslow@gmail.com>

* Correct naming

* sort better

* up

* apply sylvains suggestion
2022-06-21 10:24:50 +02:00
Sylvain Gugger
7c6ec195ad v4.21.0.dev0 2022-06-16 12:20:53 -04:00
Patrick von Platen
7f14839f55
[Wav2Vec2Conformer] Official release (#17709)
* [Wav2Vec2Conformer] Official release

* remove from not-in-readme
2022-06-15 18:34:15 +02:00
Daniel Stancl
a72f1c9f5b
Add LongT5 model (#16792)
* Initial commit

* Make some fixes

* Make PT model full forward pass

* Drop TF & Flax implementation, fix copies etc

* Add Flax model and update some corresponding stuff

* Drop some TF things

* Update config and flax local attn

* Add encoder_attention_type to config

* .

* Update docs

* Do some cleansing

* Fix some issues -> make style; add some docs

* Fix position_bias + mask addition + Update tests

* Fix repo consistency

* Fix model consistency by removing flax operation over attn_mask

* [WIP] Add PT TGlobal LongT5

* .

* [WIP] Add flax tglobal model

* [WIP] Update flax model to use the right attention type in the encoder

* Fix flax tglobal model forward pass

* Make the use of global_relative_attention_bias

* Add test suites for TGlobal model

* Fix minor bugs, clean code

* Fix pt-flax equivalence though not convinced with correctness

* Fix LocalAttn implementation to match the original impl. + update READMEs

* Few updates

* Update: [Flax] improve large model init and loading #16148

* Add ckpt conversion script accoring to #16853 + handle torch device placement

* Minor updates to conversion script.

* Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM

* gpu support + dtype fix

* Apply some suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* * Remove (de)parallelize stuff
* Edit shape comments
* Update README.md
* make fix-copies

* Remove caching logic for local & tglobal attention

* Apply another batch of suggestions from code review

* Add missing checkpoints
* Format converting scripts
* Drop (de)parallelize links from longT5 mdx

* Fix converting script + revert config file change

* Revert "Remove caching logic for local & tglobal attention"

This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46.

* Stash caching logic in Flax model

* Make side relative bias used always

* Drop caching logic in PT model

* Return side bias as it was

* Drop all remaining model parallel logic

* Remove clamp statements

* Move test files to the proper place

* Update docs with new version of hf-doc-builder

* Fix test imports

* Make some minor improvements

* Add missing checkpoints to docs
* Make TGlobal model compatible with torch.onnx.export
* Replace some np.ndarray with jnp.ndarray

* Fix TGlobal for ONNX conversion + update docs

* fix _make_global_fixed_block_ids and masked neg  value

* update flax model

* style and quality

* fix imports

* remove load_tf_weights_in_longt5 from init and fix copies

* add slow test for TGlobal model

* typo fix

* Drop obsolete is_parallelizable and one warning

* Update __init__ files to fix repo-consistency

* fix pipeline test

* Fix some device placements

* [wip]: Update tests -- need to generate summaries to update expected_summary

* Fix quality

* Update LongT5 model card

* Update (slow) summarization tests

* make style

* rename checkpoitns

* finish

* fix flax tests

Co-authored-by: phungvanduy <pvduy23@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: patil-suraj <surajp815@gmail.com>
2022-06-13 22:36:58 +02:00
Younes Belkada
ca2a55e9df
BLOOM (#17474)
* adding template

* update model

* model update

* update conf for debug model

* update conversion

* update conversion script

* update conversion script

* fix missing keys check

* add tests to test the tokenizer in the local machine

* Change variable name

* add tests on xnli dataset

* add more description

* add descriptions + clearer code

* clearer code

* adding new tests + skipping few tests because of env problems

* change comment

* add dtype on the configuration

* add test embeddings

* add hardcoded test

* fix dtype issue

* adding torch.float16 to config

* adding more metrics (min, max, mean)

* add sum

* now the test passes with almost equal

* add files for conversion - test passes on cpu  gpu

* add final changes

* cleaning code

* add new args in the docstring

* fix one liner function

* remove macros

* remove forward attention

* clean up init funtion

* add comments on the issue

* rm scale mask softmax

* do make style

* fix dtype in init

* fixing for loop on att probs

* fix style with black

* fix style + doc error

* fix and debug CI errors (docs + style)

* some updates

- change new operations
- finally add scaled softmax
- added new args in the config

* make use cache working

* add changes

- save sharded models
- final changes on the modeling script

* add changes

- comment on alibi
- add TODO on seq length

* test commit

- added a text to test the commit

Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* final changes

- attention mask change
- generation works on BS176b

Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* changes - model + conversion

* move to correct dir

* put ,

* fex fixes

* fix tokenizer autodoc

* fix minor CI issues

* fix minor CI issues

* fix minor CI issues

* fix style issue

* fix minor import issues

* fix few issues

* remove def main on the test

* add require torch

* replace decorator with 'with'

* fix style

* change to bloom

* add quick fix tokenizer

* fix tokenizer file

* fix tokenizer

- merge tests
- small fixes

* fix import issue

* add bloom to readme

* fix consistency

* Update docs/source/en/model_doc/bloom.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review

fix comment issues on file headers

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix doc issue

* small fix - modeling test

* some changes

- refactor some code
- taking into account reviews
- more tests should pass
- removed pruning tests

* remove useless division

* more tests should pass

* more tests should pass

* more tests should pass

* let's try this one

-add alibi offset
- remove all permutes to make the grad operations work
- finger crossed

* refactor

- refactor code
- style changes
- add new threshold for test

* major changes

- change BLOOM to Bloom
- add quick doc on bloom.mdx
- move embeddings test on modeling test

* modify readme

* small fixes

* small fix

- better threshold for a test

* remove old test file from fetcher

* fix small typo

* major change

- change BloomLMHead to BloomForCausalLM

* remove onnx config

* major changes

- refactor the code
- remove asserts
- change tol for test

* make style

* small change

* adding a slow test + commenting old ones for now

* make style

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make style

* fix duplicates

* cleaning comments on config

* clean a bit conversion file

* refacor a bit modeling file

* refactor tokenizer file

* fix tokenization test issue

* fix tokenization issue #2

* fix tokenization issue second try

* fix test issue

* make style + add suggestions

* change test fetcher

* try this one

- slow tests should pass
- finger crossed

* possible final changes

* make style

* try fix padding side issue

* fix side

* fix padding issue

* fix ko-readme

* fix config auto

* cleaning modeling file

* keep bloom in caps in ko

* update config docs

* remove pretraining_pp

* remove model parallel

* update config

- add correct config files

* fix duplicates

* fix fetcher

* fix refactor issue

- remove divide function

* try to remove alibi

* small fixes

- fix alibi
- remove seq length
- refactor a bit the code

* put correct values

- fix bos and eos token ids

* fix attention mask loop

Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* small fixes:

- remove skip bias add

* small fixes

- fix typo in readme
- fix typos in config

* small changes

- remove a test
- add reconstruction test
- change config

* small changes

- change Scaled Softmax to BloomScaledSoftmax

* small fixes

- fix alibi dtype

* major changes

- removing explicit dtype when loading modules
- fixing test args (torch_dtype=auto)
- add dosctring

* fix readmes

* major changes

- now bloom supports alibi shifting
- refactor a bit the code
- better test tolerance now

* refactor a bit

* refactor a bit

* put correct name on test

* change docstring

* small changes

- fix docstring modeling
- fix test tolerance

* fix small nit

- take dtype from tensors in the conversion script

* minor fix

- fix mdx issue

* minor fix

- change config docstring

* forward contrib credits from PR14084

* Apply suggestions from code review

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* apply modifications

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* resolve softmax upcast

* Apply suggestions from code review

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/models/bloom/modeling_bloom.py

Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>

* final changes modeling

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Merge commit 'd156898f3b9b2c990e5963f5030a7143d57921a2'

* merge commit

* Apply suggestions from code review

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* apply suggestions

Apply suggestions from Stas comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Fix gradient checkpointing

Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* add slow but exact

* add accelerate compatibility

Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com>

* forward contrib credits

Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com>
Co-authored-by: sgugger <sgugger@users.noreply.github.com>
Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com>
Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>
Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix torch device on tests

* make style

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix nits

Co-authored-by: patrickvonplaten<patrickvonplaten@users.noreply.github.com>

* remove final nits

* fix doc

- add more details on the doc
- add links to checkpoints

* Update src/transformers/__init__.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/bloom/modeling_bloom.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* apply suggestions

Co-authored-by: sgugger <sgugger@users.noreply.github.com>

* put test torchscript to false

* Update src/transformers/models/bloom/modeling_bloom.py

Co-authored-by: justheuristic <justheuristic@gmail.com>

* fix alibi

- create alibi only once

* add small doc

* make quality

* replace torch.nn

* remove token type emb

* fix fused op + output bias

* add fused op

- now can control fused operation from config

* remove fused op

* make quality

* small changes

- remove unsed args on config
- removed bias gelu file
- make the model torchscriptable
- add torchscript slow tests

* Update src/transformers/models/bloom/modeling_bloom.py

* fix slow

* make style

* add accelerate support

* add bloom to deepspeed tests

* minor changes

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* minor change

* slow tests pass

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/en/model_doc/bloom.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* minor changes:

- change docstring
- add link to paper

Co-authored-by: Thomwolf <thomwolf@gmail.com>
Co-authored-by: Thomas Wolf <thomas@huggingface.co>
Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: sIncerass <sheng.s@berkeley.edu>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>
Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com>
Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com>
Co-authored-by: sgugger <sgugger@users.noreply.github.com>
Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com>
Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: justheuristic <justheuristic@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>
2022-06-09 12:00:40 +02:00
Chan Woo Kim
119e3c0fc8
M-CTC-T Model (#16402)
* added cbs to notebooks, made copy-paste error fix in generation_utils

* initial push for mctc model

* mctc feature extractor done

* added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly.

* added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly.

* passing attention, now struggling to figure out how attention masks make sense here

* works when excluding attention masks. ask later how one would integrate attention maskshere

* bizarre configuration error (model prefix comes first in config dict json and messes up the order)

* all passing but bizzarre config dict ordering issue when to_dict

* passing all major tests

* feature extraction, processor, tokenizer added & tests passing

* style & consistency & other logistical fixes

* copy paste fix

* model after feature extraction working

* commiting final feature extraction results; need to fix normalization

* feature extraction passing tests; probably should add tests on the specific flashlight-copied functions?

* delete print ; format code a bit

* fixing tests

* passing major tests

* fixing styles

* completed tokenization test with real example; not sure if these values are entirely correct.

* last test fixes from local

* reverting accidentally included custom setup configs

* remove load tf weights; fix config error

* testing couldnt import featureextractor

* fix docs

* fix docs

* resolving comments

* style fixes

* style fixes

* Update to MCTCConv1dSubSampler

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* relposemb fixes

* conv1d name issue; expecting config fail with paraentheses

* fix config issue

* fix config issue

* fix config issue

* change everything to MCTCT

* fixing naming change errors

* archive list

* copyrights and docs

* copyrights and docs

* copyrights and docs

* merge resolution

* move tests, fix to changed optionaldependency structure

* test directories changed

* fixing tests

* how to avoid tf tests?

* how to avoid tf tests?

* tests passing locally

* allow mctctprocessor imported any env

* allow mctctprocessor imported any env

* fixed second round of feedback, need to fix docs

* doc changes not being applied

* all fixed

* style fix

* feedback fixes

* fix copies and feature extraction style fix

* Update tests/models/visual_bert/test_modeling_visual_bert.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* copy paste huggingface:main visual bert

* added eof newline to visual bert; all tests are passing otherwise

* fix slow tests by adding attention mask

* change model id to speechbrain

* make fix-copies

* fix readme unwanted deletes

* fixing readmes, make fix-copies

* consistent M-CTC-T naming

* Update src/transformers/models/mctct/__init__.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* all fixed but variable naming

* adjust double quotes

* fixed variable names

* copyright and mr quilter

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* correct slow tests

* make fix-copies

* Update src/transformers/models/mctct/configuration_mctct.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/mctct/configuration_mctct.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* m-ctc-t not mctct

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-06-08 00:33:07 +02:00
Sylvain Gugger
048dd73bba
Check list of models in the main README and sort it (#17517)
* Script for README

* Fix copies

* Complete error message
2022-06-02 08:10:08 -04:00
Anugunj Naman
84aaadd8c5
Adding LeViT Model by Facebook (#17466)
* levit files

* levit tests

* weights script

* weights script

* update

* style fixes

* few minor corrections

* Added teacher model

* edit docs

* fix-copies

* style fixes

* pr error resolved

* Update README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/index.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/levit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/levit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/levit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/levit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/configuration_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/configuration_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* suggested pr changes

* style fixes

* minor bug

* update

* minor doc edit

* style

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/levit/test_modeling_levit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* residual layer readable

* style

* Update docs/source/en/model_doc/levit.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update tests/models/levit/test_feature_extraction_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* change checkpoints and style

* update

* minor changes

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/levit/modeling_levit.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-06-01 17:06:20 +02:00
Jason Phang
71e602725b
[WIP] Adding GPT-NeoX-20B (#16659)
* initial

* first try

* working 20B

* 20B tokenizers

* Docs

* Import fixes for missing classes

* Update docs, fixup

* black formatting

* isort

* flake

* dummy objects

* documentation

* Documentation yml

* more docs

* tweaks for tests

* tokenization auto

* fix neox tests

* test

* test

* einsum

* address PR feedback

* Documentation

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_neox/__init__.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_neox/configuration_gpt_neox.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove undefined LaTeX syntax

* Update to full url to avoid confusion about if that's supposed to refer to the Hub

* fix auto

* move tests

* documentation fix

* more doc fixes

* test refactor

* fix import

* fix import

* fix import

* fix import

* fix import

* style fixes

* More modeling fixes

Co-authored-by: Jason Phang <zp489@gr057.hpc.nyu.edu>
Co-authored-by: Stella Biderman <stellabiderman@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-05-24 09:31:10 -04:00
NielsRogge
31ee80d556
Add LayoutLMv3 (#17060)
* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section

Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-05-24 09:53:45 +02:00
Anugunj Naman
c86aad6110
Fix cvt docstrings (#17367) 2022-05-23 16:11:09 +02:00
NielsRogge
adc0ff2502
Add CvT (#17299)
* Adding cvt files

* Adding cvt files

* changes in init file

* Adding cvt files

* changes in init file

* Style fixes

* Address comments from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Format lists in docstring

* Fix copies

* Apply suggestion from code review

Co-authored-by: AnugunjNaman <anugunjjha@gmail.com>
Co-authored-by: Ayushman Singh <singhayushman13@protonmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-05-18 17:47:18 +02:00
Carl
d6b8e9cec7
Add trajectory transformer (#17141)
* Add trajectory transformer


Fix model init


Fix end of lines for .mdx files

Add trajectory transformer model to toctree

Add forward input docs

Fix docs, remove prints, simplify prediction test

Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update docs, more descriptive comments

Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update readme

Small comment update and add conversion script

Rebase and reformat

Fix copies

Fix rebase, remove duplicates

Fix rebase, remove duplicates

* Remove tapex

* Remove tapex

* Remove tapex
2022-05-17 19:07:43 -04:00
Younes Belkada
b971c769e8
Add OPT (#17088)
* First version - OPT model

* Final changes

- putting use cache to False

* few changes

- remove commented block

* few changes

- remove unecessary files

* fix style issues

* few changes

- remove a test file
- added the logits test

* Update src/transformers/models/auto/tokenization_auto.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add gen tests

* few changes

- rm mask filling example on docstring

* few changes

- remove useless args

* some changes

- more tests should pass now
- needs to clean more
- documentation still needs to be done

* fix code quality

* major changes

- change attention architecture to BART-like
- modify some tests
- style fix

* rm useless classes

- remove opt for:
- QA
- cond generation
- seq classif

* Removed autodoc calls to non-existant classes

TOkenizers are not implemented

* Update src/transformers/__init__.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/modeling_tf_auto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Replaced OPTTokeniser with GPT2 tokenizer

* added GPT2Tokenizer.from_pretrained("patrickvonplaten/opt_gpt2_tokenizer")

* Removed OPTTokenizer

* make style

* Make style replaces

``` ...).unsqueeze(```
by
``` >>>).unsqueeze(```

* make repo consistency

* Removed PretrainedOPTModel

* fix opt.mdx removed other heads

* fix init, removed 3 heads

* removed heads

* finished cleaning head

* removed seauence classif and question answering

* removed unused imports

* removed useless dummy object for QA, SC and CG

* removed tests for removed useless dummy object for QA, SC and CG

* Removed head_mask using encoder layers which don't exist

* fixed test

* fix line

* added OPT to toctree

* Updated model path with pushed weigths

* fix model path

* fixed code quality

* fixed embeddings and generation tests

* update paths

* clean comments

* removed OPTClassificationHead for sentence classification

* renamed hidden layer

* renamed num layers to standard num_hidden_layers

* num_attention_heads fix

* changes for 125m

* add first version for 125m

* add first version - flax

* add new version

* causal LM output

* replace output type with BaseModelOutputWithPastAndCrossAttentions

* revert working config from 150m to 350m

* clean

* removed decoder input ids

* fixed embed dim

* more embed_dim issues

* make style + removed enc_dec test

* update falx model

* removed troublesome copy

* added is_encoder_decoder=False to config

* added set_input emb fuinction to model class

* requires torch on embed test

* use head mask instead of decoder head mask input param solves a test

* 8 test remaining, update

* Updated create_and_check_decoder_model_past_large_inputs

* Make style

* update op tokenizer with condition

* make style

* See if I can push

* some clean up

* remove linear head hack

* save intermediate

* save correct attention

* add copied from from bart

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix part of the reviewss
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* same changes in naming / conversion

* correct mask

* more fixes

* delete FlaxOPT and TfOPT

* clean traces of Flax and Tf

* fix mask

* fixed positionnal embedding length when past key value is provoded

* get 125m, 6.7b to work

* Added do_layer_norm

* solved mismatch in load dictionnary

* clean up preapre opt input dict

* fixed past key value as bool

* fix previus

* fixed return dict False tuple issue

* All tests are passing

* Make style

* Ignore OPTDecoder non tested

* make fix-copies

* make repo consistency

* small fix

* removed uselss @torch.no_grad decorator

* make styl;e

* fix previous opt test

* style

* make style

* added opt documentation

* update OPT_PRETRAINED_MODEL_ARCHIVE_LIST

* up

* more fixes

* model & config work

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* added comment on padding hack (+2)

* cleaup

* review update

* docstring for missing arg

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/__init__.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update pretrained map

* update path and tests

* make style

* styling

* make consistency

* add gpt2 tok new

* more tok fixes

* Update src/transformers/models/auto/tokenization_auto.py

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/en/model_doc/opt.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/opt/test_modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/opt/modeling_opt.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update based on reviews

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make style

* make tokenizer auto tests pass

* apply Lysandre suggestion

* finish tests

* add some good tokenizer tests

* improve docs slighly

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
2022-05-12 12:24:35 +02:00
Amanpreet Singh
a10f61834d
[feat] Add FLAVA model (#16654)
* [WIP] Add FLAVA model

This PR aims to add [FLAVA](ihttps://arxiv.org/abs/2112.04482) model to the transformers repo.

Following checklist delineates the list of things to be done for this PR
to be complete:

[x] Flava init
[x] Flava base models
[x] Flava layers
[x] Flava Configs
[x] Flava encoders
[x] Flava pretraining models
[ ] Flava classification/retrieval models (To be added in a separate PR)
[x] Documentation updates 
[x] Imports updates 
[x] Argstring updates
[x] Flava pretrained checkpoints 
[x] Flava tests
[x] Flava processors 
[x] Sanity check
[x] Lint
2022-05-11 14:56:48 -07:00
NielsRogge
1ac698744c
Add YOLOS (#16848)
* First draft

* Add YolosForObjectDetection

* Make forward pass work

* Add mid position embeddings

* Add interpolation of position encodings

* Add expected values

* Add YOLOS to tests

* Add integration test

* Support tiny model as well

* Support all models in conversion script

* Remove mid_pe_size attribute

* Make more tests pass

* Add model to README and fix config

* Add copied from statements

* Rename base_model_prefix to vit

* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP

* Apply suggestions from code review

* Apply more suggestions from code review

* Convert remaining checkpoints

* Improve docstrings

* Add YolosFeatureExtractor

* Add feature extractor to docs

* Add corresponding tests

* Fix style

* Fix docs

* Apply suggestion from code review

* Fix bad rebase

* Fix some more bad rebase

* Fix missing character

* Improve docs and variable names

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-05-02 18:30:55 +02:00
Sylvain Gugger
e6f00a11d7
Update README to latest release (#16997) 2022-04-28 14:17:44 -04:00
NielsRogge
4ef0abb738
Add TAPEX (#16473)
* Add TapexTokenizer

* Improve docstrings and provide option to provide answer

* Remove option for pretokenized inputs

* Add TAPEX to README

* Fix copies

* Remove option for pretokenized inputs

* Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification.

* - Draft a README file for running the script and introducing some background.
- Remove unused code lines in tabfact script.
- Disable the deafult `pad_to_max_length` option which is memory-consuming.

* * Support `as_target_tokenizer` function for TapexTokenizer.
* Fix the do_lower_case behaviour of TapexTokenizer.
* Add unit tests for target scenarios and cased/uncased scenarios for both source and target.

* * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function.
* Fix typos in tapex example README.

* * fix the evaluation script - remove the property `task_name`

* * Make the label space more clear for tabfact tasks

* * Using a new fine-tuning script for tapex-base on tabfact.

* * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case
* Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql

* * Remove the default tokenizer_name option.
* Provide evaluation command.

* * Support for WikiTableQuestion dataset.

* Fix a typo in README.

* * Fix the datasets's key name in WikiTableQuestions

* Run make fixup and move test to folder

* Fix quality

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply some more suggestions from code review

* Improve docstrings

* Overwrite failing test

* Improve comment in example scripts

* Fix rebase

* Add TAPEX to Auto mapping

* Add TAPEX to auto config mappings

* Put TAPEX higher than BART in auto mapping

* Add TAPEX to doc tests

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: SivilTaram <qianlxc@outlook.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-04-08 10:57:51 +02:00
Francesco Saverio Zuppichini
af14c61973
RegNet (#16188)
* base model done

* make style

* done

* added files

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Trigger doc build

* resolved conversations

* resolved conversations

* seer models

* minor changes

* minor changes

* make fixup

* glob variables

* minor changes

* fix copies

* config when possibile

* resolved conflicts

* resolved conflicts

* resolved conflicts

* CI

* conversion script for 10b param

* fixed for 10b model

* minor updates in the doc + make style

* removed unused code

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* removed unused code

* removed unused code

* updated modeling_utils from main

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
2022-04-07 21:58:00 +02:00
NielsRogge
979b039c89
Add DPT (#15991)
* First draft

* More improvements

* Add fusion blocks

* Make conversion script work for dpt_large

* Make conversion script work

* Improve implementation

* Improve conversion script

* Add DPTForSemanticSegmentation

* Make conversion work for semantic segmentation

* Add tests

* Remove print statements

* First draft

* Redesign neck

* Improve tests

* Improve implementation some more

* Make neck output list of tensors

* Improve neck and feature extractor

* Fix integration tests

* Make more tests pass

* Make all tests pass

* Add missing config archive map

* Add in_index attribute to make heads accept list of tensors

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply some more suggestions

* Add copied from statements

* Remove assert

* Apply suggestions from code review

* Apply suggestions from code review

* Remove DPTInterpolate in favor of nn.Upsample

* Add comments

* Apply suggestions from code review

* Apply suggestions from code review

* Add proposed design

* Update design

* Add DPTReassembleLayer

* Add DPTFeatureFusionStage

* Apply more suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* Fix rebase

* Update in_index and out_indices

* Fix conversion script

* Fix code quality

* Add model to toctree and use DepthEstimatorOutput

* Fix rebase

* Fix code examples

* Improve code

* Fix copied from statements

* Apply suggestions from code review

* Remove compute_loss method

* Apply suggestions from code review

* Fix documentation tests file

* Remove test.py file

* Improve doc example

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
2022-03-28 16:28:10 +02:00
Sylvain Gugger
3a0f1684c3
Fix readme links and add CI check (#16392)
* Fix doc links in README

* Fix name

* Fix links in READMEs and doc index

* Error if there is something wrong so the CI knows
2022-03-24 11:59:09 -04:00
Edward Beeching
aff9bc405a
Decision transformer gym (#15845)
* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Add type hints for Pegasus (#16324)

* Funnel type hints (#16323)

* add pt funnel type hints

* add tf funnel type hints

* Add type hints for ProphetNet PyTorch (#16272)

* [GLPN] Improve docs (#16331)

* Add link to notebook

* Add link

* Fix bug

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Added type hints for Pytorch Marian calls (#16200)

* Added type hinting for forward functions in pytorch marian

* typo correction

* Removed type hints on functions from BART per Suraj Patil request

* fix import pb

* fix typo

* corrected tuple call

* ran black

* after fix-copies
Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List

* Fixing copies to roformer and pegasus

Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* done (#16340)

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add type annotations for Rembert/Splinter and copies (#16338)

* undo black autoformat

* minor fix to rembert forward with default

* make fix-copies, make quality

* Adding types to template model

* Removing List from the template types

* Remove `Optional` from a couple of types that don't accept `None`

Co-authored-by: matt <rocketknight1@gmail.com>

* [Bug template] Shift responsibilities for long-range (#16344)

* Fix code repetition in serialization guide (#16346)

* Adopt framework-specific blocks for content (#16342)

*  refactor code samples with framework-specific blocks

*  update training.mdx

* 🖍 apply feedback

* Updates the default branch from master to main (#16326)

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Updated copies, config auto, and readme files.

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com>
Co-authored-by: Adam Montgomerie <adam@avanssion.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com>
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com>
Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
2022-03-23 16:18:43 -04:00
Lysandre Debut
eca77f4719
Updates the default branch from master to main (#16326)
* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-03-23 03:46:59 -04:00
NielsRogge
0c55d47cde
Add GLPN (#16199)
* First draft

* Fix logits calculation

* Improve tests

* Add copied from statements

* Fix base_model_prefix

* Improve implementation, upload new models

* Update design

* Fix integration test

* Add model to README and toctree

* Add document image

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add decoder_hidden_size attribute

* Update design of decoder

* Add DepthEstimatorOutput class

* Rename in_index to head_in_index and add feature extractor tests

* Apply suggestions from code review

* Apply suggestions from code review

* Update pretrained model name and add to doc tests

* Remove test.py script

* Update copied from statements and clean up

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-03-22 08:51:13 +01:00
Li-Huai (Allan) Lin
7e0d04bed1
Fix readmes (#16217) 2022-03-17 07:47:01 -04:00
Francesco Saverio Zuppichini
0a057201a9
Visual Attention Network (VAN) (#16027)
* encoder works

* addded files

* norm in stage

* convertion script

* tests

* fix copies

* make fix-copies

* fixed __init__

* make fix-copies

* fix

* shapiro test needed

* make fix-copie

* minor changes

* make style + quality

* minor refactor conversion script

* rebase + tests

* removed unused variables

* updated doc

* toctree

* CI

* doc

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolved conversations

* make fixup

* config passed to modules

* config passed to modules

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* conversations

* conversations

* copyrights

* normal test

* tests

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2022-03-15 08:47:12 +01:00
Francesco Saverio Zuppichini
e3008c679f
[WIP] Resnet (#15770)
* first commit

* ResNet model correctly implemented.

basic modeling + weights conversion is done

removed unused doc

mdx file

doc and conversion script

added feature_extractor to auto

test

minor changes + style + quality

doc

test

Delete process.yml

A left over from my attempt of running circleci locally

* minor changes

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* new test format

* minor changes from conversations

* minor changes from conversations

* make style + quality

* readded the tests

* test + README

* minor changes from conversations

* error in README

* make fix-copies

* removed regression for classification head

* make quality

* fixed loss control flow

* fixed loss control flow

* resolved conversations

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* READMEs

* index.mdx

* minor changes

* updated tests and models

* unused import

* outputs

* Update docs/source/model_doc/resnet.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added embeddings_size

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* conversation

* added push to hub

* test

* embedding_size

* make fix-copies

* resolved conversations

* CI

* changed organization

* minor changes

* CI

* minor changes

* conversations

* conversation

* doc

* tests

* removed unused docstring

* conversation

* removed unused outputs

* CI

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2022-03-14 19:57:55 +01:00
NielsRogge
0835119bf3
Add Document Image Transformer (DiT) (#15984)
* Add conversion script

* Improve script

* Fix bug

* Add option to push to hub

* Add support for classification models

* Update model name

* Upload feature extractor files first

* Remove hash checking

* Fix config

* Add id2label

* Add import

* Fix id2label file name

* Fix expected shape

* Add model to README

* Improve docs

* Add integration test and fix CI

* Fix code style

* Add missing init

* Add model to SPECIAL_MODULE_TO_TEST_MAP

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-03-10 11:34:44 +01:00
Francesco Saverio Zuppichini
d83d22f578
Maskformer (#15682)
* maskformer

* conflicts

* conflicts

* minor fixes

* feature extractor test fix

refactor MaskFormerLoss following conversation

MaskFormer related types should not trigger a module time import error

missed one

removed all the types that are not used

update config mapping

minor updates in the doc

resolved conversation that doesn't need a discussion

minor changes

resolved conversations

fixed DetrDecoder

* minor changes

minor changes

fixed mdx file

test feature_extractor return types

functional losses -> classes

removed the return type test for the feature extractor

minor changes + style + quality

* conflicts?

* rebase master

* readme

* added missing files

* deleded poolformers test that where in the wrong palce

* CI

* minor changes

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* resolved conversations

* minor changes

* conversations

[Unispeech] Fix slow tests (#15818)

* remove soundfile old way of loading audio

* Adapt slow test

[Barthez Tokenizer] Fix saving (#15815)

[TFXLNet] Correct tf xlnet generate (#15822)

* [TFXLNet] Correct tf xlnet

* adapt test comment

Fix the push run (#15807)

Fix semantic segmentation pipeline test (#15826)

Fix dummy_inputs() to dummy_inputs in symbolic_trace doc (#15776)

Add model specific output classes to PoolFormer model docs (#15746)

* Added model specific output classes to poolformer docs

* Fixed Segformer typo in Poolformer docs

Adding the option to return_timestamps on pure CTC ASR models. (#15792)

* Adding the option to return_timestamps on pure CTC ASR models.

* Remove `math.prod` which was introduced in Python 3.8

* int are not floats.

* Reworking the PR to support "char" vs "word" output.

* Fixup!

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines/automatic_speech_recognition.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Quality.

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

HFTracer.trace should use/return self.graph to be compatible with torch.fx.Tracer (#15824)

Fix tf.concatenate + test past_key_values for TF models (#15774)

* fix wrong method name tf.concatenate

* add tests related to causal LM / decoder

* make style and quality

* clean-up

* Fix TFBertModel's extended_attention_mask when past_key_values is provided

* Fix tests

* fix copies

* More tf.int8 -> tf.int32 in TF test template

* clean-up

* Update TF test template

* revert the previous commit + update the TF test template

* Fix TF template extended_attention_mask when past_key_values is provided

* Fix some styles manually

* clean-up

* Fix ValueError: too many values to unpack in the test

* Fix more: too many values to unpack in the test

* Add a comment for extended_attention_mask when there is past_key_values

* Fix TFElectra extended_attention_mask when past_key_values is provided

* Add tests to other TF models

* Fix for TF Electra test: add prepare_config_and_inputs_for_decoder

* Fix not passing training arg to lm_head in TFRobertaForCausalLM

* Fix tests (with past) for TF Roberta

* add testing for pask_key_values for TFElectra model

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

[examples/summarization and translation] fix readme (#15833)

Add ONNX Runtime quantization for text classification notebook (#15817)

Re-enable doctests for the quicktour (#15828)

* Re-enable doctests for the quicktour

* Re-enable doctests for task_summary (#15830)

* Remove &

Framework split model report (#15825)

Add TFConvNextModel (#15750)

* feat: initial implementation of convnext in tensorflow.

* fix: sample code for the classification model.

* chore: added checked for  from the classification model.

* chore: set bias initializer in the classification head.

* chore: updated license terms.

* chore: removed ununsed imports

* feat: enabled  argument during using drop_path.

* chore: replaced tf.identity with layers.Activation(linear).

* chore: edited default checkpoint.

* fix: minor bugs in the initializations.

* partial-fix: tf model errors for loading pretrained pt weights.

* partial-fix: call method updated

* partial-fix: cross loading of weights (4x3 variables to be matched)

* chore: removed unneeded comment.

* removed playground.py

* rebasing

* rebasing and removing playground.py.

* fix: renaming TFConvNextStage conv and layer norm layers

* chore: added initializers and other minor additions.

* chore: added initializers and other minor additions.

* add: tests for convnext.

* fix: integration tester class.

* fix: issues mentioned in pr feedback (round 1).

* fix: how output_hidden_states arg is propoagated inside the network.

* feat: handling of  arg for pure cnn models.

* chore: added a note on equal contribution in model docs.

* rebasing

* rebasing and removing playground.py.

* feat: encapsulation for the convnext trunk.

* Fix variable naming; Test-related corrections; Run make fixup

* chore: added Joao as a contributor to convnext.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* chore: corrected copyright year and added comment on NHWC.

* chore: fixed the black version and ran formatting.

* chore: ran make style.

* chore: removed from_pt argument from test, ran make style.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* fix: tests in the convnext subclass, ran make style.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* chore: moved convnext test to the correct location

* fix: locations for the test file of convnext.

* fix: convnext tests.

* chore: applied  sgugger's suggestion for dealing w/ output_attentions.

* chore: added comments.

* chore: applied updated quality enviornment style.

* chore: applied formatting with quality enviornment.

* chore: revert to the previous tests/test_modeling_common.py.

* chore: revert to the original test_modeling_common.py

* chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py

* fix: tests for convnext.

* chore: removed output_attentions argument from convnext config.

* chore: revert to the earlier tf utils.

* fix: output shapes of the hidden states

* chore: removed unnecessary comment

* chore: reverting to the right test_modeling_tf_common.py.

* Styling nits

Co-authored-by: ariG23498 <aritra.born2fly@gmail.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* minor changes

* doc fix in feature extractor

* doc

* typose

* removed detr logic from config

* removed detr logic from config

* removed num_labels

* small fix in the config

* auxilary -> auxiliary

* make style

* some test is failing

* fix a weird char in config prevending doc-builder

* retry to fix the doc-builder issue

* make style

* new try to fix the doc builder

* CI

* change weights to facebook

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: ariG23498 <aritra.born2fly@gmail.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
2022-03-02 15:48:20 +01:00
Eduardo Gonzalez Ponferrada
df5a4094a6
Add Data2Vec (#15507)
* Add data2vec model cloned from roberta

* Add checkpoint conversion script

* Fix copies

* Update docs

* Add checkpoint conversion script

* Remove fairseq data2vec_text script and fix format

* Add comment on where to get data2vec_text.py

* Remove mock implementation cheat.py and fix style

* Fix copies

* Remove TF and Flax classes from init

* Add back copy from fairseq data2vec_text.py and fix style

* Update model name in docs/source/index.mdx to be CamelCase

* Revert model name in table to lower-case to get check_table test to pass

* Update src/transformers/models/data2vec/__init__.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/model_doc/data2vec.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/data2vec.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/auto/configuration_auto.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update documentation

* Copy-paste Data2VecConfig from BertConfig

* Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency

* Update config special tokens to match RoBERTa

* Split multiple assertions and add individual error messages

* Rename Data2VecModel to Data2VecForTextModel

* Add Data2Vec to _toctree.yml

* Rename Data2VecEmbeddings to Data2VecForTextEmbeddings

* Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding).

* finish audio model

* finish audio file

* Update names and fix style, quality and repo consistency

* Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files.

* add inputs to logits to data2vec'

* correct autio models

* correct config auto

* correct tok auto

* Update utils/tests_fetcher.py

* delete unnecessary files

* delete unnecessary files

* further renaming

* make all tests pass

* finish

* remove useless test file

* Update tests/test_modeling_common.py

* Update utils/check_repo.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec_text.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix copies

* Update docs

* Remove fairseq data2vec_text script and fix format

* Add comment on where to get data2vec_text.py

* Remove mock implementation cheat.py and fix style

* Fix copies

* Remove TF and Flax classes from init

* Add back copy from fairseq data2vec_text.py and fix style

* Update model name in docs/source/index.mdx to be CamelCase

* Revert model name in table to lower-case to get check_table test to pass

* Update documentation

* Update src/transformers/models/data2vec/__init__.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/auto/configuration_auto.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Copy-paste Data2VecConfig from BertConfig

* Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency

* Update config special tokens to match RoBERTa

* Split multiple assertions and add individual error messages

* Rename Data2VecModel to Data2VecForTextModel

* Add Data2Vec to _toctree.yml

* Rename Data2VecEmbeddings to Data2VecForTextEmbeddings

* Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding).

* finish audio model

* finish audio file

* add inputs to logits to data2vec'

* Update names and fix style, quality and repo consistency

* Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files.

* correct autio models

* correct config auto

* correct tok auto

* delete unnecessary files

* delete unnecessary files

* Update utils/tests_fetcher.py

* further renaming

* make all tests pass

* finish

* remove useless test file

* Update tests/test_modeling_common.py

* Update utils/check_repo.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec_text.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Move data2vec tests to new structure

* Fix test imports for text tests

* Remove fairseq files

* Change paper link to arxiv

* Modify Data2Vec documentation to reflect that the encoder is not shared across the audio and text models in the current implementation.

* Update text model checkpoint to be facebook/data2vec-text-base

* Add 'Copy from' statements and update paper links and docs

* fix copy from statements

* improve copied from

* correct more copied from statements

* finish copied from stuff

* make style

* add model to README

* add to master

Co-authored-by: Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-03-01 11:09:20 +01:00
Gunjan Chhablani
2c2a31ffbc
Add missing PLBart entry in README (#15721)
* Add missing PLBart entry in index

* Fix README

* Fix README

* Fix style

* Change to master model doc
2022-02-18 21:11:42 +01:00
Yih-Dar
92a537d938
Minor fix on README.md (#15688)
* fix README

* fix more arxiv links

* make fix-copies

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-02-17 08:38:32 -05:00
Tanay Mehta
f84e0dbd2a
Add PoolFormer (#15531)
* Added all files, PoolFormerFeatureExtractor still failing tests

* Fixed PoolFormerFeatureExtractor not being able to import

* Completed Poolformer doc

* Applied Suggested fixes

* Fixed errors in modeling_auto.py

* Fix feature extractor, convert docs to Markdown, styling of code

* Remove PoolFormer from check_repo and fix integration test

* Remove Poolformer from check_repo

* Fixed configuration_poolformer.py docs and removed inference.py from poolformer

* Ran with black v22

* Added PoolFormer to _toctree.yml

* Updated poolformer doc

* Applied suggested fixes and added on README.md

* Did make fixup and make fix-copies, tests should pass now

* Changed PoolFormer weights conversion script name and fixed README

* Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py

* Added PoolFormerFeatureExtractor to AutoFeatureExtractor API

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
2022-02-17 13:16:37 +01:00
NielsRogge
84eec9e6ba
Add ConvNeXT (#15277)
* First draft

* Add conversion script

* Improve conversion script

* Improve docs and implement tests

* Define model output class

* Fix tests

* Fix more tests

* Add model to README

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply more suggestions from code review

* Apply suggestions from code review

* Rename dims to hidden_sizes

* Fix equivalence test

* Rename gamma to gamma_parameter

* Clean up conversion script

* Add ConvNextFeatureExtractor

* Add corresponding tests

* Implement feature extractor correctly

* Make implementation cleaner

* Add ConvNextStem class

* Improve design

* Update design to also include encoder

* Fix gamma parameter

* Use sample docstrings

* Finish conversion, add center cropping

* Replace nielsr by facebook, make feature extractor tests smaller

* Fix integration test

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-02-07 16:11:37 +01:00
Soonhwan-Kwon
e09473a817
Add support for XLM-R XL and XXL models by modeling_xlm_roberta_xl.py (#13727)
* add xlm roberta xl

* add convert xlm xl fairseq checkpoint to pytorch

* fix init and documents for xlm-roberta-xl

* fix indention

* add test for XLM-R xl,xxl

* fix model hub name

* fix some stuff

* up

* correct init

* fix more

* fix as suggestions

* add torch_device

* fix default values of doc strings

* fix leftovers

* merge to master

* up

* correct hub names

* fix docs

* fix model

* up

* finalize

* last fix

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add copied from

* make style

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-01-29 13:42:37 +01:00
Suraj Patil
d25e25ee2b
Add XGLM models (#14876)
* add xglm

* update vocab size

* fix model name

* style and tokenizer

* typo

* no mask token

* fix pos embed compute

* fix args

* fix tokenizer

* fix positions

* fix tokenization

* style and dic fixes

* fix imports

* add fast tokenizer

* update names

* add pt tests

* fix tokenizer

* fix typo

* fix tokenizer import

* fix fast tokenizer

* fix tokenizer

* fix converter

* add tokenizer test

* update checkpoint names

* fix tokenizer tests

* fix slow tests

* add copied from comments

* rst -> mdx

* flax model

* update flax tests

* quality

* style

* doc

* update index and readme

* fix copies

* fix doc

* update toctrr

* fix indent

* minor fixes

* fix config doc

* don't save embed_pos weights

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* address Sylvains commnets, few doc fixes

* fix check_repo

* align order of arguments

* fix copies

* fix labels

* remove unnecessary mapping

* fix saving tokenizer

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-01-28 18:55:23 +01:00
Lysandre
f87db5e412 Release: v4.16.0 2022-01-27 13:06:33 -05:00
novice
99a2771189
Add YOSO (#15091)
* Add cookiecutter files

* Add cuda kernels and cpp files

* Update modeling_yoso.py

* Add .h files

* Update configuration_yoso.py

* Updates

* Remove tokenizer

* Code quality

* Update modeling_yoso.py

* Update modeling_yoso.py

* Fix failing test

* Update modeling_yoso.py

* Fix code quality

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review and fix integration tests

* Update src/transformers/models/yoso/modeling_yoso.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply suggestions from code review

* Fix copied from statement

* Fix docstring

* Fix code quality

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions and fix mask

* Apply suggestions from code review

* Fix code quality

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix docstrings

* Fix code quality

* Remove trailing whitespace

* Update yoso.mdx

* Move kernel loading to YosoEncoder

* make style

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/yoso/modeling_yoso.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add short summary to docs

* Update docs/source/model_doc/yoso.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update yoso.mdx

* Update docs/source/model_doc/yoso.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove CausalLM model and add copied from

* Remove autoregressive code

* Remove unused imports

* add copied from for embeddings

* Fix code quality

* Update docs/source/model_doc/yoso.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestion from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-01-26 19:18:29 +01:00
novice
d43e308e7f
Add Swin Transformer (#15085)
* Add all files

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Updates

* Apply suggestions from review

* Fix failing tests

* Update __init__.py

* Update configuration_swin.py

* Update auto_factory.py

* Fix pytests

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fix tests and default checkpoint

* Fix Recursion error

* Code quality

* Remove copied from

* Update modeling_swin.py

* Code quality

* Update modeling_swin.py

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

* Fix feature extractor

* Fix code quality

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

* Update configuration_swin.py

* Update default checkpoint

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/model_doc/swin.mdx

Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>

* Update conversion script

* Reformat conversion script

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>
2022-01-21 12:10:41 +01:00