GitLab

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

* update ruff version

* fix research projects

* Empty

* Fix errors

---------
Co-authored-by: Lysandre <lysandre@huggingface.co>

* device agnostic models testing

* add decorator `require_torch_fp16`

* make style

* apply review suggestion

* Oops, the fp16 decorator was misused

* adds agnostic decorators and availability fns

* renaming decorators and fixing imports

* updating some representative example tests
bloom, opt, and reformer for now

* wip device agnostic functions

* lru cache to device checking functions

* adds `TRANSFORMERS_TEST_DEVICE_SPEC`
if present, imports the target file and updates device to function
mappings

* comments `TRANSFORMERS_TEST_DEVICE_SPEC` code

* extra checks on device name

* `make style; make quality`

* updates default functions for agnostic calls

* applies suggestions from review

* adds `is_torch_available` guard

* Add spec file to docs, rename function dispatch names to backend_*

* add backend import to docs example for spec file

* change instances of  to

* Move register backend to before device check as per @statelesshz changes

* make style

* make opt test require fp16 to run

---------
Co-authored-by: arsalanu <arsalanu@graphcore.ai>
Co-authored-by: arsalanu <hzji210@gmail.com>

* Replaces calls to `.cuda` with `.to(torch_device)` in tests
`torch.Tensor.cuda()` is a pre-0.4 solution to changing a tensor's device. It is recommended to prefer `.to(...)` for greater flexibility and error handling. Furthermore, this makes it more consistent with other tests (that tend to use `.to(torch_device)`) and ensures the correct device backend is used (if `torch_device` is neither `cpu` or `cuda`).

* addressing review comments

* more formatting changes in Bloom test

* `make style`

* Update tests/models/bloom/test_modeling_bloom.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixes style failures

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix

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

* CI with layers=2

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

* Fix default attention mask size

* fixup

* add a test to make sure that even if attention mask are not provided, works

* style

* Move `is_pipeline_test_to_skip` to specific model test classes

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

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

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

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

* Use beam search functionality; Add extra outputs and test

* Add full tests for contrastive search

* Add error message on unconventional cache format

* Add `OPTForQuestionAnswering`

- added `OPTForQuestionAnswering` class based on `BloomForQuestionAnswering`
- added `OPTForQuestionAnswering` in common tests
- all common tests pass
- make fixup done

* added docstrings for OPTForQuestionAnswering

* Fix docstrings for OPTForQuestionAnswering

* Adding OPTForSeqClassification class

* Fix import issues

* Add documentation for optforseqclassification

* Remove checkout

* fix failing tests

* fix typo

* Fix code formatting

* Incorporating the PR feedbacks

* Incorporate PR Feedbacks

* Fix failing test and add new test for multi label setup

* Fix formatting issue

* Fix failing tests

* Fix formatting issues

* Fix failing tests

* Fix failing tests

* Fix failing tests

* Fix failing tests

* PR feedback

* Add final_layer_norm to OPT model

* Add JAX and TF version

* Fix Keras name

* Woops

* Allow for non breaking change

* Apply suggestions from code review

* add tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* initial commit

* add init file

* update globakl init

* update index and dummy objects

* style

* update modelling auto

* fix initi typo in src/transformers

* fix typo in modeling tf auto, opt was in wrong mapping name

* fixed a slow test : saved_model

* style

* fix positionnal embedding if no position id is provided

* update tf test

* update test flax requirements

* fixed serialization

* update

* update tf name to allow smooth convertion

* update flax tests

* style

* fix test typo

* fix tf typo test

* add xla for generate support in causal LM

* fixed bug

* cleaned tf tests

* style

* removed from PT for slow tests

* fix typp

* opt test as slow

* trying to fix GPT2 undefined

* correct documentation and add to test doc

* update tf doc

* fix doc

* fake commit

* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* update test based on review

* merged main layer for functionning test

* fixup + quality

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

* update long comment

* make fix copies
Co-authored-by: Arthur <arthur@huggingface.co>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Support for Bart and LayoutLM, and partial support for XLNet

* Support for mbart

* A lot of new models supported

* Support for other models

* LayoutLM fix

* Use strings instead of classes

* Fix expected value

* 5e-5
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* up

* up

* [OPT] Run test only in half precision

* up

* up

* up

* up

* finish

* fix on GPU

* Update tests/models/opt/test_modeling_opt.py

* fix opt tests

* remove unused tok

* make style

* make flake8 happy

* Update tests/models/opt/test_modeling_opt.py

* correct some stuff

* fix doc tests

* make style

* try fixes

* Revert "try fixes"

This reverts commit a8ad75ef69d4fc03a402ef61bd034b018aa8555e.

* add correct shape

* add correct path

* First version - OPT model

* Final changes

- putting use cache to False

* few changes

- remove commented block

* few changes

- remove unecessary files

* fix style issues

* few changes

- remove a test file
- added the logits test

* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add gen tests

* few changes

- rm mask filling example on docstring

* few changes

- remove useless args

* some changes

- more tests should pass now
- needs to clean more
- documentation still needs to be done

* fix code quality

* major changes

- change attention architecture to BART-like
- modify some tests
- style fix

* rm useless classes

- remove opt for:
- QA
- cond generation
- seq classif

* Removed autodoc calls to non-existant classes

TOkenizers are not implemented

* Update src/transformers/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/modeling_tf_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Replaced OPTTokeniser with GPT2 tokenizer

* added GPT2Tokenizer.from_pretrained("patrickvonplaten/opt_gpt2_tokenizer")

* Removed OPTTokenizer

* make style

* Make style replaces

``` ...).unsqueeze(```
by
``` >>>).unsqueeze(```

* make repo consistency

* Removed PretrainedOPTModel

* fix opt.mdx removed other heads

* fix init, removed 3 heads

* removed heads

* finished cleaning head

* removed seauence classif and question answering

* removed unused imports

* removed useless dummy object for QA, SC and CG

* removed tests for removed useless dummy object for QA, SC and CG

* Removed head_mask using encoder layers which don't exist

* fixed test

* fix line

* added OPT to toctree

* Updated model path with pushed weigths

* fix model path

* fixed code quality

* fixed embeddings and generation tests

* update paths

* clean comments

* removed OPTClassificationHead for sentence classification

* renamed hidden layer

* renamed num layers to standard num_hidden_layers

* num_attention_heads fix

* changes for 125m

* add first version for 125m

* add first version - flax

* add new version

* causal LM output

* replace output type with BaseModelOutputWithPastAndCrossAttentions

* revert working config from 150m to 350m

* clean

* removed decoder input ids

* fixed embed dim

* more embed_dim issues

* make style + removed enc_dec test

* update falx model

* removed troublesome copy

* added is_encoder_decoder=False to config

* added set_input emb fuinction to model class

* requires torch on embed test

* use head mask instead of decoder head mask input param solves a test

* 8 test remaining, update

* Updated create_and_check_decoder_model_past_large_inputs

* Make style

* update op tokenizer with condition

* make style

* See if I can push

* some clean up

* remove linear head hack

* save intermediate

* save correct attention

* add copied from from bart

* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix part of the reviewss
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* same changes in naming / conversion

* correct mask

* more fixes

* delete FlaxOPT and TfOPT

* clean traces of Flax and Tf

* fix mask

* fixed positionnal embedding length when past key value is provoded

* get 125m, 6.7b to work

* Added do_layer_norm

* solved mismatch in load dictionnary

* clean up preapre opt input dict

* fixed past key value as bool

* fix previus

* fixed return dict False tuple issue

* All tests are passing

* Make style

* Ignore OPTDecoder non tested

* make fix-copies

* make repo consistency

* small fix

* removed uselss @torch.no_grad decorator

* make styl;e

* fix previous opt test

* style

* make style

* added opt documentation

* update OPT_PRETRAINED_MODEL_ARCHIVE_LIST

* up

* more fixes

* model & config work

* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* added comment on padding hack (+2)

* cleaup

* review update

* docstring for missing arg

* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/opt/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update pretrained map

* update path and tests

* make style

* styling

* make consistency

* add gpt2 tok new

* more tok fixes

* Update src/transformers/models/auto/tokenization_auto.py

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

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

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

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

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

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

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

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

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

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

* Update based on reviews

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make style

* make tokenizer auto tests pass

* apply Lysandre suggestion

* finish tests

* add some good tokenizer tests

* improve docs slighly
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>