GitLab

* Replace -100s in predictions by the pad token

* Style

* Try to catch them all

* Update run_speech_recognition_ctc.py

Make sure all processes wait until data is saved before loading the processor from the output_dit

* Make sure all processes wait until data is saved before loading the processor from the output_dit

* Update run_speech_recognition_ctc.py

* Update run_speech_recognition_seq2seq.py

Add id2label and label2id to config in run_xnil

Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.5.3 to 4.5.4.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.5.3...v4.5.4

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Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.1.4 to 4.5.3.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.1.4...v4.5.3

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* Add initial remote hardware auto-setup docs

* Fix a few typos and clarify some language

* Add missing dependency

* Update self-hosted launch script with Sylvain's comments.

* Formatting.

* Trigger CI

* Style

* Pin tensorflow-text to go with tensorflow

* Make it more convenient to pin TensorFlow

* setup don't like f-strings

allow only test_file in pytorch and flax summarization

* add low_cpu_mem_usage option in run_clm.py example which will benefit LLM loading
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update all the example and README under language-modeling
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Add specaugment to run_speech_recognition_seq2seq.py

* Remove useless argument: text_column

* Fix quality

* Update return_attention_mask condition

* Update specaugment arguments only for whisper models

* Remove SpecAugment arguments from ModelArguments, only leave default values for simplicity

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update apply_spec_augment only for whisper models

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Rename return_attention_mask to forward_attention_mask to avoid confusion with wav2vec2 models

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Stop requiring Torch for our TF examples!

* Slight tweak to logging in the example itself

* Initial commit

* stash commit

* Add model checkpointing and pushing

* Fix model name inference

* Update README

* Update README

* Remove a couple of Torch references

* Update copyright date

* make fixup

* Update PushToHubCallback args!

* Remove the torch summary

* Add strategy.scope

* Add check for different embedding types in examples

* Correctly update summarization example

* Override the decoding parameters of Seq2SeqTrainer

* Fix quality

* Fix max_length parameter

* Fix quality

* Remove redundant parameter max_length

* Separate the preprocess of train and validation to use different max_target_length

* [Examples] Generalise run audio classification for log-mel models

* batch feature extractor

* make style

* Respect documentation on passive log level

* Fix test and set log level in examples

* Add doc

pin pytorch lightning requirement

Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 2.0.3 to 2.2.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/2.0.3...2.2.3

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Bump ipython in /examples/research_projects/decision_transformer

Bumps [ipython](https://github.com/ipython/ipython) from 8.1.1 to 8.10.0.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](https://github.com/ipython/ipython/compare/8.1.1...8.10.0

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Update run_mae.py

Update run_speech_recognition_ctc.py

There should be `# limitations under the License` line at the end of the documentation section.

docs: fix some references in PyTorch text classification readme

Bump cryptography from 36.0.2 to 39.0.1 in /examples/research_projects/decision_transformer (#21507)

Bump cryptography in /examples/research_projects/decision_transformer

Bumps [cryptography](https://github.com/pyca/cryptography) from 36.0.2 to 39.0.1.
- [Release notes](https://github.com/pyca/cryptography/releases)
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/36.0.2...39.0.1

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* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

Bump oauthlib in /examples/research_projects/decision_transformer

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.2.1 to 3.2.2.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.2.1...v3.2.2

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* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* do not use prefix="val" for test

The dummy example fails when test_epoch_end is called. The prefix="test" should be dynamic in the log metrics too.

* Create test.source

* Create test.target

* Add VQGAN-CLIP research project

* fixed style issues

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/requirements.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/README.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/VQGAN_CLIP.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/research_projects/vqgan-clip/loaders.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* replace CLIPProcessor with tokenizer, change asserts to exceptions

* rm unused import

* remove large files (jupyter notebook linked in readme, imgs migrated to hf dataset)

* add tokenizers dependency

* Remove comment
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* rm model checkpoints

---------
Co-authored-by: Erwann Millon <erwann@Erwanns-MacBook-Air.local>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>