GitLab

* strict gen config save; Add tests

* add note that the warning will be an exception in v4.34

* aligned sample_beam specs with beam_search

* pull origin main

* Revert "pull origin main"

This reverts commit 06d356f1137bb52272e120a03636598c44449cf3.

* update test_utils.py

* fix format

* remove comment

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Co-authored-by: Shogo Fujita <shogo.fujita@legalontech.jp>

* update bark generation configs for more coherent parameter

* make style

* update bark hub repo

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

* [ASR Pipeline] Clarify return timestamps

* fix indentation

* fix ctc check

* fix ctc error message!

* fix test

* fix other test

* add new tests

* final comment

* fix

* fix

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

* Register ModelOutput subclasses as supported torch.utils._pytree nodes

Fixes #25357 where DDP with static_graph=True does not sync gradients when calling backward() over tensors contained in ModelOutput subclasses

* Add test for torch pytree ModelOutput serialization and deserialization

* Add mask2former fp16 support

* Clear consistency/quality issues

* Fix consistency/quality (2)

* Add integration test for mask2former (fp16 case)

* Fix code quality

* Add integration test for maskformer (fp16 case)

* Add integration test for oneformer (fp16 case)

* Remove slow decorator from fp16 tests

* Fix lint

* Remove usage of full inference and value checks for fp16

* Temporarily comment slow for {mask, mask2, one}former

* Add fp16 support to oneformer

* Revert "Temporarily comment slow for {mask, mask2, one}former"

This reverts commit e5371edabd301cf56079def0421a0a87df307cb0.

* Remove dtype conversion noop

* First draft

* Deal with progress bars

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Address review comments

* Forgot one

* Pin hf_hub

* Add argument for push all and fix tests

* Fix tests

* Address review comments

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Co-authored-by: Lucain <lucainp@gmail.com>

* fix

* fix

* fix

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

* temp

* update

* update

* update

* small dim

* small dim

* small dim

* fix

* update

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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

* Document check copies better and add tests

* Include header in check for copies

* Manual fixes

* Try autofix

* Fixes

* Clean tests

* Finalize doc

* Remove debug print

* More fixes

* Deal better with nested configs

* Fixes

* More fixes

* Fix last test

* Clean up existing configs

* Remove hack in MPT Config

* Update src/transformers/configuration_utils.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Fix setting a nested config via dict in the kwargs

* Adapt common test

* Add test for nested config load with dict

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add timeout parameter to load_image function.

* Remove line.

* Reformat code
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add parameter to docs.

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add generate method to SpeechT5ForTextToSpeech

* update speecht5forTTS docstrings

* Remove defaults to None in generate docstrings
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Update InstructBLIP values
Note: the tests are not independent. Running the test independentely produces different logits compared to running all the integration tests

* Update test values after rescale update

* Remove left over commented out code

* Revert to previous rescaling logic

* Update rescale tests

* CI with layers=2

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

* [MMS] Fix mms

* [MMS] Fix mms

* fix mms loading

* Apply suggestions from code review

* make style

* Update tests/models/wav2vec2/test_modeling_wav2vec2.py

* Update modeling_deformable_detr.py

Fix bugs for two stage training

* Update modeling_deformable_detr.py

* Add test_two_stage_training to DeformableDetrModelTest

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Co-authored-by: yupeng.jia <yupeng.jia@momenta.ai>

Rescale tests - cast to float after rescaling to reflect #25229

* add test for `get_keys_to_not_convert`

* add minimum patch to keep mpt lm_head from 8bit quantization

* add reivsion to

* add  `require_bitsandbytes` on MPT integration tests

* add it on mpt as well

* update tiny_model_summary.json

* update

* update

* update

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

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

* Fix rescaling bug

* Add tests

* Update integration tests

* Fix up

* Update src/transformers/image_transforms.py

* Update test - new possible order in list

* move to device

* update with cuda values

* fix fp16

* more rigorous

* fix instruct blip slow test

* Update tests/models/instructblip/test_modeling_instructblip.py

fix mpt slow test

* First commit

* step 1 working

* add alibi

* placeholder for `scan`

* add matrix mult alibi

* beta scaling factor for bmm

* working v1 - simple forward pass

* move layer_number from attribute to arg in call

* partial functioning scan

* hacky working scan

* add more modifs

* add test

* update scan for new kwarg order

* fix position_ids problem

* fix bug in attention layer

* small fix

- do the alibi broadcasting only once

* prelim refactor

* finish refactor

* alibi shifting

* incorporate dropout_add to attention module

* make style

* make padding work again

* update

* remove bogus file

* up

* get generation to work

* clean code a bit

* added small tests

* adding albii test

* make CI tests pass:

- change init weight
- add correct tuple for output attention
- add scan test
- make CI tests work

* fix few nits

* fix nit onnx

* fix onnx nit

* add missing dtype args to nn.Modules

* remove debugging statements

* fix scan generate

* Update modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* fix small test issue + make style

* clean up

* Update tests/models/bloom/test_modeling_flax_bloom.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* fix function name

* small fix test

* forward contrib credits from PR17761

* Fix failing test

* fix small typo documentation

* fix non passing test

- remove device from build alibi

* refactor call

- refactor `FlaxBloomBlockCollection` module

* make style

* upcast to fp32

* cleaner way to upcast

* remove unused args

* remove layer number

* fix scan test

* make style

* fix i4 casting

* fix slow test

* Update src/transformers/models/bloom/modeling_flax_bloom.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* remove `layer_past`

* refactor a bit

* fix `scan` slow test

* remove useless import

* major changes

- remove unused code
- refactor a bit
- revert import `torch`

* major refactoring

- change build alibi

* remove scan

* fix tests

* make style

* clean-up alibi

* add integration tests

* up

* fix batch norm conversion

* style

* style

* update pt-fx cross tests

* update copyright

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

* per-weight check

* style

* line formats

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: haileyschoelkopf <haileyschoelkopf@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* initial Bark offload proposal

* use hooks instead of manually offloading

* add test of bark offload to cpu feature

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

* Update docstrings of offload
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* remove unecessary set_seed in Bark tests

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* support from pretrained args

* draft addition of tests

* update test

* use parrent assert true

* Update src/transformers/models/mpt/configuration_mpt.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Enable return_dict in order to compile

* Update tests

* update

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

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

* Initial addition of t5forsequenceclassification

* Adding imports and adding tests

* Formatting

* Running make fix-copies

* Adding mt5forseq

* Formatting

* run make fix-copies

* Adding to docs

* Add model_parallel

* Fix bug

* Fix

* Remove TODO

* Fixing tests for T5ForSequenceClassification

* Undo changes to dependency_versions_table.py

* Change classification head to work with T5Config directly

* Change seq length to let tests pass

* PR comments for formatting

* Formatting

* Initial addition of UMT5ForSequenceClassification

* Adding to inits and formatting

* run make fix-copies

* Add doc for UMT5ForSeqClass

* Update UMT5 config

* Fix docs

* Skip torch fx test for SequenceClassification

* Formatting

* Add skip to UMT5 tests as well

* Fix umt5 tests

* Running make fix-copies

* PR comments

* Fix for change to sentence_representation

* Rename seq_len to hidden_size since that's what it is

* Use base_model to follow format of the rest of the library

* Update docs

* Extract the decoder_input_ids changes and make one liner

* Make one-liner

* draft solution

* use `setdefault`

* nits

* add tests and fix truncation issue

* fix test

* test passes locally

* quality

* updates

* update tsets