GitLab

* Fixing bug that appears when using distilation (and potentially other uses).
During backward pass Pytorch complains with:
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
This happens because the QA model code modifies the start_positions and end_positions input tensors, using clamp_ function: as a consequence the teacher and the student both modifies the inputs, and backward pass fails.

* Fixing all models QA clamp_ bug.

* fix_torch_device_generate_test

* remove @

* bump up jax lib

* Fixed Typo in modeling_bart.py - Issue #11895

* Fixed Typo in modeling_bart.py

* format and sort __repr__, add __str__

* typo

* use __str__ directly

* alias __repr__ = __str__

* wip

* add mismatch validation + test

* renames

* Update docs/source/main_classes/deepspeed.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* fix_torch_device_generate_test

* remove @

* finish refactor
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Fix weight decay masking in `run_flax_glue.py`

Issues with the previous implementation:
- The `dict` from `traverse_util.flatten_dict` has keys which are tuples of strings, not one long string with the path separated by periods.
- `optax.masked` applies the transformation wherever the mask is True, so the masks are flipped.
- Flax's LayerNorm calls the scale parameter `scale` not `weight`

* Fix formatting with black

* adapt results
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* add nvme skip rule

* fix

* move code and docs

* style

* moved

* restore

Make it clear that the `forward` method now returns a dict instead of tuple.

Fix style

* fix xref to generate

* do the same for search methods

* style

* style

* Init VisualBERT

* Add cookie-cutter, Config, and Embeddings

* Add preliminary Model

* Add Bert analogous classes

* Add basic code for NLVR, VQA, Flickr

* Update Init

* Fix VisualBert Downstream Models

* Rename classifier to cls

* Comment position_ids buffer

* Remove sentence image predictor output

* Update output dicts

* Remove unnecessary files

* Fix Auto Modeling

* Fix transformers init

* Add conversion script

* Add conversion script

* Fix docs

* Update visualbert modelling

* Update configuration

* Style fixes

* Add model and integration tests

* Add all tests

* Update model mapping

* Add simple detector from original repository

* Update docs and configs

* Fix style

* Fix style

* Update docs

* Fix style

* Fix import issues in style

* Fix style

* Add changes from review

* Fix style

* Fix style

* Update docs

* Fix style

* Fix style

* Update docs/source/model_doc/visual_bert.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Update tests/test_modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

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

* Add changes from review

* Remove convert run script

* Add changes from review

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

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

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

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

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

* Add changes from review

* Add changes from review

* Add visual embedding example in docs

* Fix "copied from" comments

* Add changes from review

* Fix error, style, checkpoints

* Update docs

* Fix integration tests

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

* fix_torch_device_generate_test

* remove @

* fix rag from pretrained loading

* add test

* uplaod

* finish

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.8 to 1.26.5.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.25.8...1.26.5

)

---
updated-dependencies:
- dependency-name: urllib3
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* add train loss and flops metrics reports

* consistency

* add train_loss to skip keys

* restore on_train_end call timing

* decouple DeepSpeedConfigHF from Trainer

* add LoggingLevel ctx manager; add new test

* cleanup

* add docs

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

* implemented suggested renames

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

* allow tf to use uneven num of layers

* add tokenizer

* finish docs

* finish docs

* Apply suggestions from code review

* include in index

* finish

* Update docs/source/model_doc/byt5.rst
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* apply sylvais suggestions

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

* typo correction

* type corrections

* deepspeed docs

* cleanup

* cleanup

An option that turns on neptune.ai logging
--report_to 'neptune'

Additional ENV variables:
	NEPTUNE_PROJECT
	NEPTUNE_API_TOKEN
	NEPTUNE_RUN_NAME (optional)
	NEPTUNE_STOP_TIMEOUT (optional)

* add test_vocab_size for sentencepiece tok.

* add test_get_vocab for sentencepiece tok.

* add test_convert_token_and_id for sentencepiece tok.

* add test_tokenize_and_convert_tokens_to_string for all tok.

* improve test_tokenize_and_convert_tokens_to_string for sp. tok.

* add common tokenizer integration tests
- for albert
- for barthez

* add tokenizer integration tests to bert gen.

* add most tokenizer integration tests

* fix camembert tokenizer integration test

* add tokenizer integration test to marian

* add tokenizer integration test to reformer

* add typing and doc to tokenizer_integration_test_util

* fix tokenizer integration test of reformer

* improve test_sentencepiece_tokenize_and_convert_tokens_to_string

* empty commit to trigger CI

* fix tokenizer integration test of reformer

* remove code not needed anymore

* empty commit to trigger CI

* empty commit to trigger CI

modified according to:
https://pytorch.org/xla/release/1.8.1/_modules/torch_xla/core/xla_model.html

* modify qa-trainer

* fix flax model

* initial

* code quality test

* code quality

* added test functions in test_modeling_rag.py and test_retrieval_rag.py to test end2end retreiver

* minor change in test_modeling_rag

* fixed tests

* Update examples/research_projects/rag-end2end-retriever/README.md

typo corrected as suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update examples/research_projects/rag-end2end-retriever/finetune_rag.py

type change suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update src/transformers/models/rag/retrieval_rag.py

Adding this change as mentioned by lhoestq.
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* completed the minor changes suggested by the reviewers
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* add flax CLIP

* default input_shape

* add tests

* fix test

* fix name

* fix docs

* fix shapes

* attend at least 1 token

* flax conv to torch conv

* return floats

* fix equivalence tests

* fix import

* return attention_weights and update tests

* fix dosctrings

* address patricks comments

* input_shape arg

* add tests for get_image_features and get_text_features methods

* fix tests

* Add MT5ForConditionalGeneration as supported arch.

* Update README.md

* Remove redundant `nn.log_softmax` in `run_flax_glue.py`

`optax.softmax_cross_entropy` expects unnormalized logits, and so it already calls `nn.log_softmax`, so I believe it is not needed here. `nn.log_softmax` is idempotent so mathematically it shouldn't have made a difference.

* Remove unused 'flax.linen' import

* Added logic to return attention from flax-bert model and added test cases to check that

* Added new line at the end of file to test_modeling_flax_common.py

* fixing code style

* Fixing Roberta and Elextra models too from cpoying bert

* Added temporary hack to not run test_attention_outputs for FlaxGPT2

* Returning attention weights from GPT2 and changed the tests accordingly.

* last fixes

* bump flax dependency
Co-authored-by: jayendra <jayendra@infocusp.in>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* seq classification changes

* fix tests

* Adding new argument `max_new_tokens` for generate.

This is a proposal to add a new argument `max_new_tokens` to `generate`.
This include a `MaxNewTokensCriteria` that enables callers that don't
know about the token length ahead (like pipelines callers) to manage
more easily the length of their generated output.

* Adding a test for the user warning when both`max_length` and
`max_new_tokens` are used together.

* Removed redundant `no_grad`.