GitLab

* model zoo take 2

* add deberta

* new param for zero2

* doc update

* doc update

* add layoutlm

* bump deepspeed

* add deberta-v2, funnel, longformer

* new models

* style

* add t5_v1

* update TAPAS status

* reorg problematic models

* move doc to another PR

* style

* fix checkpoint check test

* making progress on more models running

* cleanup

* new version

* cleanup

* LogSumExp trick `question_answering` pipeline.

* Adding a failing test.

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

- Adds auto_batch_size finder 
- Moves training loop to an inner training loop

* update docs of length_penalty

* Revert "update docs of length_penalty"

This reverts commit 466bf4800b75ec29bd2ff75bad8e8973bd98d01c.

* add mobilebert onnx config

* address suggestions

* Update auto.mdx

* Update __init__.py

* Update features.py

LayoutLMv2Processor: ensure 1-to-1 mapping between images and samples in case of overflowing tokens (#17092)

* add get_overflowing_images function to ensure 1-to-1 mapping between samples and images in LayoutLMv2Processor

* make style

* add test for overflowing_tokens, change assert to ValueError, avoiding unrelated formatting changes

* change line length by passing --preview into black

* Add onnx configuration for bigbird-pegasus

* Modify docs

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

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

* CLIP Serving

* Add type hints per code review

* Use black, flake8, and isort

* Update src/transformers/models/clip/modeling_tf_clip.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Rollback serving_output and add TODO

* Remove irrelevant portions of failing tests

* Revert "Rollback serving_output and add TODO"

This reverts commit a4abfa6ba3b7875a13538dbc2ddc4eb17dfcca8d.

* Rollback to original test/serving_output

* Fix unused var

* Apply suggestions from code review

* Update formatting with black

* Fix style again from rebase

* Update tests/models/clip/test_modeling_tf_clip.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sean Moriarity <sean.l.moriarity.mil@army.mil>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* add utilities till TFData2VecVisionLayer.

* chore: pass window_size to attention layer.

* feat: add TFData2VecVisionRelativePositionBias.

* feat: initial implementation ready for tf data2vec.

* fix: relative position bias index, table to be fixed.

* chore: implementation added, tests remaining.

* add: tests, other PR files.

* fix: code quality.

* fix: import structure in init.

* chore: run make fix-copies.

* chore: address PR feedback (round I).

* chore: styling nit.

* fix: tests due to removal of to_2tuple().

* chore: rebase with upstream main and move the test.

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

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

* fix: layer call.

* chore: remove from_pt=True and rerun test.

* chore: remove cast and tf.divide.

* chore: minor edits to the test script.

* Update src/transformers/models/data2vec/modeling_tf_data2vec_vision.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* fix: expand() on TF tensors with broadcast_to().

* fix: test import.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Make sure telemetry arguments are not returned as unused kwargs

* Fix test

* Skip RoFormer ONNX test if rjieba not installed

* Update deps table

* Skip RoFormer serialization test

* Fix RoFormer vocab

* Add rjieba to CircleCI

* Fix RNG reload in resume training from epoch checkpoint

* Fix test

* Make Trainer compatible with sharded checkpoints

* Add doc

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [FlaxBert] Add ForCausalLM

* make style

* fix output attentions

* Add RobertaForCausalLM

* remove comment

* fix fx-to-pt model loading

* remove comment

* add modeling tests

* add enc-dec model tests

* add big_bird

* add electra

* make style

* make repo-consitency

* add to docs

* remove roberta test

* quality

* amend cookiecutter

* fix attention_mask bug in flax bert model tester

* tighten pt-fx thresholds to 1e-5

* add 'copied from' statements

* amend 'copied from' statements

* amend 'copied from' statements

* quality

* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length

* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length

* correct t5 tokenizer

* correct t5 tokenizer

* fix test

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

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

* First draft

* Add YolosForObjectDetection

* Make forward pass work

* Add mid position embeddings

* Add interpolation of position encodings

* Add expected values

* Add YOLOS to tests

* Add integration test

* Support tiny model as well

* Support all models in conversion script

* Remove mid_pe_size attribute

* Make more tests pass

* Add model to README and fix config

* Add copied from statements

* Rename base_model_prefix to vit

* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP

* Apply suggestions from code review

* Apply more suggestions from code review

* Convert remaining checkpoints

* Improve docstrings

* Add YolosFeatureExtractor

* Add feature extractor to docs

* Add corresponding tests

* Fix style

* Fix docs

* Apply suggestion from code review

* Fix bad rebase

* Fix some more bad rebase

* Fix missing character

* Improve docs and variable names
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Clean up tests

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

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

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

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

* add roformer onnx config

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

* added deit onnx config

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* XLA min len, forced eos, and forced bos
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* add torch.cuda.empty_cache in some PT RAG tests

* torch.cuda.empty_cache in tearDownModule()

* tearDown()

* add gc.collect()
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* add OnnxConfig for ConvBert
Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* Temporary commit witht the long QA fix.

* Adding slow tests covering this fix.

* Removing fast test as it doesn't fail anyway.

* Fixing return type tensor with `num_return_sequences>1`.

* Nit.

Co-authored-by: alcinos <carion.nicolas@gmail.com>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
Co-authored-by: Nicolas Carion <carion.nicolas@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add initial BNB integration

* fixup! Add initial BNB integration

* Add bnb test decorator

* Update Adamw8bit option name

* Use the full bnb package name

* Overide bnb for all embedding layers

* Fix package name

* Formatting

* Remove unnecessary import

* Update src/transformers/trainer.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename AdamwBNB optimizer option

* Add training test checking that bnb memory utilization is lower

* fix merge

* fix merge; fix + extend new test

* cleanup

* expand bnb

* move all require_* candidates to testing_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>