* Add a TF in-graph tokenizer for BERT
* Add from_pretrained
* Add proper truncation, option handling to match other tokenizers
* Add proper imports and guards
* Add test, fix all the bugs exposed by said test
* Fix truncation of paired texts in graph mode, more test updates
* Small fixes, add a (very careful) test for savedmodel
* Add tensorflow-text dependency, make fixup
* Update documentation
* Update documentation
* make fixup
* Slight changes to tests
* Add some docstring examples
* Update tests
* Update tests and add proper lowercasing/normalization
* make fixup
* Add docstring for padding!
* Mark slow tests
* make fixup
* Fall back to BertTokenizerFast if BertTokenizer is unavailable
* Fall back to BertTokenizerFast if BertTokenizer is unavailable
* make fixup
* Properly handle tensorflow-text dummies
* Migrate HFDeepSpeedConfig from trfrs to accelerate
* add `accelerate` to testing dep
* addressing comments
* addressing comments
Using `_shared_state` and avoiding object creation. This is necessary as `notebook_launcher` in `launcers.py` checks `len(AcceleratorState._shared_state)>0` to throw an error.
* resolving comments
1. Use simple API from accelerate to manage the deepspeed config integration
2. Update the related documentation
* reverting changes and addressing comments
* docstring correction
* addressing nits
* addressing nits
* addressing nits 3
* bumping up the accelerate version to 0.10.0
* resolving import
* update setup.py to include deepspeed dependencies
* Update dependency_versions_table.py
* fixing imports
* reverting changes to CI dependencies for "run_tests_pipelines_tf*" tests
These changes didn't help with resolving the failures and I believe this needs to be addressed in another PR.
* removing `accelerate` as hard dependency
Resolves issues related to CI Tests
* adding `accelerate` as dependency for building docs
resolves failure in Build PR Documentation test
* adding `accelerate` as dependency in "dev" to resolve doc build issue
* resolving comments
1. adding `accelerate` to extras["all"]
2. Including check for accelerate too before import HFDeepSpeedConfig from there
Co-Authored-By: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* resolving comments
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* 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>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
- Adds auto_batch_size finder
- Moves training loop to an inner training loop
* [trainer / deepspeed] fix hyperparameter_search
* require optuna
* style
* oops
* add dep in the right place
* create deepspeed-testing dep group
* Trigger CI
* 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>
* Add PT + TF automatic builds
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Wrap up
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Very big changes concerning the tokenizer fast of CLIP which did not correspond to the tokenizer slow of CLIP
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [deepspeed] saving checkpoint fallback when fp16 weights aren't saved
* Bump required deepspeed version to match usage when saving checkpoints
* update version
Co-authored-by: Mihai Balint <balint.mihai@gmail.com>
