GitLab

* Remove all uses of six

* fix quality

* generalize decay_mask_fn to find all layernorm params

* fixup

* generalising decay_mask_fn

- put gelu before 4h to h

* Fixes torch jit tracing for LayoutLMv2 model.
Pytorch seems to reuse memory for input_shape which caused a mismatch in shapes later in the forward pass.

* Fixed code quality

* avoid unneeded allocation of vector for shape

* add info about megatron training

* upload models and datasets from CodeParrot organization

* upload models and datasets from CodeParrot organization

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* fix typo and add comment about codeparrot vs megatron
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

Signed-off-by: Seunghwan Hong <seunghwan@scatterlab.co.kr>

* Improve docs

* Improve docs of speech one as well

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

Removes a duplicated instantiation of device. I removed the second instance of the line to maintain code alignment with the GPT-J implementation of forward.

* Improve doc test

* Improve code example of segmentation model

* Apply suggestion

* Update src/transformers/models/detr/modeling_detr.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add import

* format

* Fix Sylvain's nits on the original PR

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

* Re-add "optional" to docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Update index

* Translate to Spanish two sections from custom_models

* Translate to Spanish custom models documentation

* Fixing typos and grammatical errors

* Add requested changes from reviewer

* work in progress: custom_models

* Update custom_models.mdx

* Update custom_models.mdx

* Update _toctree.yml

* Update _toctree.yml

* Update custom_models.mdx

* Update custom_models.mdx

* Update _toctree.yml

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

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

* Add Italian translation of converting_tensorflow_models.mdx

* Update _toctree.yml

* Update converting_tensorflow_models.mdx

* Update docs/source/it/_toctree.yml
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Raise a TF-specific error when importing Torch classes

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

* Add an inverse error for PyTorch users
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* [ fast_tokenizers.mdx ] - Added translation to portuguese to tutorial

* Delete docs/source/pt-br directory

* [ fast_tokenizers.mdx ] - Continuing work on file

* [ fast_tokenizers.mdx ] - Continuing work on file

* Add fast tokenizers to _toctree.yml

* Eliminated config and toctree.yml

* Nits in fast_tokenizers.mdx

* Finishing create_a_model

* [ create_a_model.mdx ] finishing create a model in pt-br

* [ Changing _toctree.yml ] adding create a model in pt
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>

* Update translation.mdx

* update translation.mdx by running make style

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

* Ensure value and attn weights have the same dtype

* Remove prints

* Modify decision transformers copied from gpt2

* Nit device
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix style
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* provide classifier only text hidden states

* add test_for_token_classification

* Update src/transformers/models/vilt/modeling_vilt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add test_for_token_classification
Co-authored-by: gfuchs <gfuchs@ebay.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix docs and add owlvit docs test

* fix minor bug in post_process, add to processor

* improve owlvit code examples

* fix hardcoded image size

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

* Fix command of doc tests for local testing

* Fix command for after running doc tests locally

* Fix bad words filter in XLA generation

* Remove my cool debug breakpoints (again)

* Allows `KerasMetricCallback` to use XLA generation

* make fixup

* Slightly reword docstring

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

* Add serving_output and serving methods to some vision models

* Add serving outputs for DeiT

* Don't convert hidden states - differing shapes

* Make saveable

* Fix up

* Make swin saveable

* Add in tests

* Fix funnel tests (can't convert to tensor)

* Fix numpy call

* Tidy up a bit

* Add in hidden states - resnet

* Remove numpy

* Fix failing tests - tensor shape and skipping tests

* Remove duplicated function

* PR comments - formatting and var names

* PR comments
Add suggestions made by Joao Gante:
* Use tf.shape instead of shape_list
* Use @tooslow decorator on tests
* Simplify some of the logic

* PR comments
Address Yih-Dar Sheih comments - making tensor names consistent and make types float

* Types consistent with docs; disable test on swin (slow)

* CI trigger

* Change input_features to float32

* Add serving_output for segformer

* Fixup
Co-authored-by: Amy Roberts <amyeroberts@users.noreply.github.com>

* Change how `take_along_axis` is computed in DeBERTa to stop confusing XLA

* Greatly simplify take_along_axis() since the code wasn't using most of it

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