GitLab

* Initial work

* More or less finished with first draft

* Update src/transformers/modeling_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix randomly initialized weights

* Update src/transformers/modeling_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Rename DeepSpeed folder to temporarily fix the test issue?

* Revert to try if Accelerate fix works

* Use latest Accelerate release

* Quality and fixes

* Style

* Quality

* Add doc

* Test + fix

* More blocks
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Fix torch.jit.script and pickling issues

* Fix get_attr issues

* Fix import in function

* Fix GPT-J and T5 tracing for torch=1.11

* Gate graph surgery on torch version

* Modeling minor changes to enable TorchScripting

* Model serialization / deserialization test

* Remove _assert_is_none users

* up

* up

* [Draft] fix transition probs

* up

* up

* up

* make it work

* fix

* finish

* update

* [OPT] Run test only in half precision

* up

* up

* up

* up

* finish

* fix on GPU

* Update tests/models/opt/test_modeling_opt.py

* [BC] Fixing usage of text pairs

The BC is actually preventing users from misusing the pipeline since
users could have been willing to send text pairs and the pipeline would
instead understand the thing as a batch returning bogus results.

The correct usage of text pairs is preserved in this PR even when that
makes the code clunky.

Adds support for {"text":..,, "text_pair": ...} inputs for both dataset
iteration and more explicit usage to pairs.

* Updating the doc.

* Update src/transformers/pipelines/text_classification.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/pipelines/text_classification.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_text_classification.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* quality.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* [tests] fix copy-n-paste error

* fix

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

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* 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>

* Accepting real pytorch device as arguments.

* is_torch_available.

* 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

* Add SplinterForSpanSelection for pre-training recurring span selection.

* Formatting.

* Rename SplinterForSpanSelection to SplinterForPreTraining.

* Ensure repo consistency

* Fixup changes

* Address SplinterForPreTraining PR comments

* Incorporate feedback and derive multiple question tokens per example.

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Jean Vancoppenole <jean.vancoppenolle@retresco.de>
Co-authored-by: Tobias Günther <tobias.guenther@retresco.de>
Co-authored-by: Tobias Günther <github@tobigue.de>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [Test] Fix W2V-Conformer integration test

* correct w2v2

* up

* Initial commit

* Better label renaming

* Remove breakpoint before pushing (this is your job)

* Test a lot more in the Keras fit() test

* make fixup

* Clarify the case where we flatten y dicts into tensors

* Clarify the case where we flatten y dicts into tensors

* Extract label name remapping to a method

* Fix tests of mixed precision now that experimental is deprecated

* Fix mixed precision in training_args_tf.py too

* save intermediate

* add wav2vec2 conformer

* add more code

* more

* first test passes

* make all checkpoints work

* update

* up

* more clean ups

* save clean-up

* save clean-up

* save more

* remove bogus

* finalize design conformer

* remove vision

* finish all tests

* more changes

* finish code

* add doc tests

* add slow tests

* fix autoconfig test

* up

* correct docstring

* up

* update

* fix

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

* Update docs/source/en/model_doc/wav2vec2-conformer.mdx

* upload

* save copied from

* correct configs

* fix model outputs

* add to docs

* fix imports

* finish

* finish code

* correct copied from

* correct again

* correct make fix

* improve make fix copies

* save

* correct fix copy from

* correct init structure

* correct

* fix import

* apply suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Fix test_model_parallelization

* Modify

* fix opt tests

* remove unused tok

* make style

* make flake8 happy

* Update tests/models/opt/test_modeling_opt.py

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

* Automatically sort auto mappings

* Better class extraction

* Some auto class magic

* Adapt test and underlying behavior

* Remove re-used config

* Quality

* update push ci

* install git-python

* update comment

* update deepspeed jobs

* fix report

* skip 2 more tests that require fairscale

* Fix changes in test_fetcher.py (to deal with `setup.py` is changed)

* set RUN_PT_TF_CROSS_TESTS=1 and final clean-up

* remove SIGOPT_API_TOKEN

* remove echo "$matrix_folders"
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* correct some stuff

* fix doc tests

* make style

* try fixes

* Revert "try fixes"

This reverts commit a8ad75ef69d4fc03a402ef61bd034b018aa8555e.

* add correct shape

* add correct path

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* Add test to ensure models can take int64 inputs

* is_integer is an attribute, not a method

* Fix test when some inputs aren't tensors

* Add casts to blenderbot and blenderbot-small

* Add casts to the other failing models

* 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>

* Support tracing for ViT

* Swin support

* Fix copies

* Fix type annotation issue

* Removed unused import

* [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

* Ensure tensors are at least 1d for pad and concat

* Compatibility

* Fix

* Fix

* Add test

* Retrigger CI

* Consistency with master

* Retrigger CI

* Remove unneeded columns for IterableDataset

* Add test

* Update trainer tests

* Edit docstring

* Lint

* Apply feedback

* Apply feedback

* Create RetriBERT tests folder

* Add missing RetriBERT tokenizer test file

* Apply style corrections

* Add non-english filter

* Update tests/retribert/test_tokenization_retribert.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* Update tests/retribert/test_tokenization_retribert.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* Move test files to new directory

* Update import path for testing utils to new test file structure
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

Co-authored-by: kuanwee.heng <kuanwee.heng@aaqua.live>

* unhardcode pretrained model path, make it a class var

* add tests for mobilebert tokenizer

* allow tempfiles for vocab & merge similarity test to autodelete

* add explanatory comments

* remove unused imports, let make style do its.. thing

* remove inheritance and use BERT tok tests for MobileBERT

* Update tests/mobilebert/test_tokenization_mobilebert.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* amend class names, remove unused import, add fix for mobilebert's hub pathname

* unhardcode pretrained model path, make it a class var

* add tests for mobilebert tokenizer

* allow tempfiles for vocab & merge similarity test to autodelete

* add explanatory comments

* remove unused imports, let make style do its.. thing

* remove inheritance and use BERT tok tests for MobileBERT

* Update tests/mobilebert/test_tokenization_mobilebert.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* amend class names, remove unused import, add fix for mobilebert's hub pathname

* amend paths for model tests being in models/ subdir of /tests

* explicitly rm test from prev path
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>