GitLab

* Fix to support fast tokenizer with `CLIPProcessor`

* Update CLIPProcessor test for fast tokenizer

* Fix Docstring Style

* Rename into meaningful Variable name in test code

* Add vision models to doc tests

* Apply suggestions from code review

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

* Enabling MaskFormer in ppipelines

No AutoModel though :(

* Ooops local file.

* finish speech doc tests

* finish

* boom

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

in the scoring (which is more correct)

* Freeze FlaxWav2Vec2 Feature Encoder

* add to all module apply

* add backprop test

* Draft

* Add test

* Update src/transformers/models/realm/modeling_realm.py

* Apply suggestion

* Add block_mask

* Update

* Update

* Add block_embedding_to

* Remove no_grad

* Use AutoTokenizer

* Remove model.to overridding

* send PyTorch inputs to the correct device

* Fix: TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update delete-dev-doc job to match build-dev-doc

* More debug info

* More debug info

* Stash if needed

* Remove the comment update

* Fix paths

* Wtf is going on..

* Fix git status test

* Try another way

* I don't understand what's happening

* Bash shell

* What's happening now...

* What's happening now...

* Try like this

* Back to trying to use bash

* And like that?

* Refine tests

* Stash after adding new files

* Stash after adding new files

* Proper commit sha and PR number

* Address review comments

* Fix reshape

* Apply suggestion from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* run sampling test on CPU to be deterministic

* input_ids on CPU

* Add TF logits wrappers 

* Add sample method

* add tests for TF logit wrappers

* TF generate sample tests now run on CPU
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Add deprecation warning

* Remove from docs and hide in kwargs

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

* 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>

* Create optimizer after model creation for SMP

* update dp_rank to rdp_rank for opt_state_dict

* update world_size and process_index for smp

* Address comments

* Lint fix
Co-authored-by: Cavdar <dcavdar@a07817b12d7e.ant.amazon.com>

* Adding timestamps for CTC with LM in ASR pipeline.

* iRemove print.

* Nit change.

* Add GPT2 TF generate sample test with all logits processor

* Add T5 generate sample test

* Add M2M100 support for ONNX export

* Delete useless imports

* Add M2M100 to tests

* Fix protobuf issue

* fix deepspeed tests

* style

* more fixes

* 📝 first draft for multilingual models

* 🖍 make style

* set python 3.7 for flax tests

* setup-python@v2

* python-dev

* install -y

* python3-dev

* install kenlm from source

* install cython

* cd to kenlm

* kenlm install

* don't install kenlm

* change flax pretrained to run flax tests

* cleanup

* remove python-dev

* Add problem_type to missing models

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

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