GitLab

Remove warning when enum is created

Replace build() with build_in_name_scope() for some tests

* Add a convenience method for building in your own name scope

* Second attempt at auto layer building

* Revert "Second attempt at auto layer building"

This reverts commit e03a3aaecf9ec41a805582b83cbdfe3290a631be.

* Attempt #3

* Revert "Attempt #3"

This reverts commit b9df7a0857560d29b5abbed6127d9e9eca77cf47.

* Add missing attributes that we're going to need later

* Add some attributes we're going to need later

* A fourth attempt! Feel the power flow through you!

* Revert "A fourth attempt! Feel the power flow through you!"

This reverts commit 6bf4aaf3875d6f28485f50187617a4c616c8aff7.

* Add more values we'll need later

* TF refactor that we'll need later

* Revert "TF refactor that we'll need later"

This reverts commit ca07202fb5b7b7436b893baa8d688b4f348ea7b9.

* Revert "Revert "TF refactor that we'll need later""

This reverts commit 1beb0f39f293ed9c27594575e1c849aadeb15c13.

* make fixup

* Attempt five!

* Revert "Attempt five!"

This reverts commit 3302207958dfd0374b0447a51c06eea51a506044.

* Attempt six - this time don't add empty methods

* Revert "Attempt six - this time don't add empty methods"

This reverts commit 67d60129be75416b6beb8f47c7d38d77b18d79bb.

* Attempt seven - better base model class detection!

* Revert "Attempt seven - better base model class detection!"

This reverts commit 5f14845e92ea0e87c598da933bfbfee10f553bc9.

* Another attribute we'll need later

* Try again with the missing attribute!

* Revert "Try again with the missing attribute!"

This reverts commit 760c6f30c5dffb3e04b0e73c34a77d1882a0fef7.

* This is the attempt that will pierce the heavens!

* Revert "This is the attempt that will pierce the heavens!"

This reverts commit c868bb657de057aca7a5260350a3f831fc4dfee6.

* Attempt seven - snag list is steadily decreasing

* Revert "Attempt seven - snag list is steadily decreasing"

This reverts commit 46fbd975deda64429bfb3e5fac4fc0370c00d316.

* Attempt eight - will an empty snag list do it?

* Revert "Attempt eight - will an empty snag list do it?"

This reverts commit 7c8a3c2b083253649569e9877e02054ae5cec67b.

* Fixes to Hubert issues that cause problems later

* Trying again with Conv1D/SeparableConv fixes

* Revert "Trying again with Conv1D/SeparableConv fixes"

This reverts commit 55092bca952bc0f750aa1ffe246a640bf1e2036e.

* Apply the build shape fixes to Wav2Vec2 as well

* One more attempt!

* Revert "One more attempt!"

This reverts commit 5ac3e4cb01b9458cc93312873725f9444ae7261c.

* Another attempt!

* Revert "Another attempt!"

This reverts commit ea16d890e019d7de8792a3b8e72f3b1c02adae50.

* Let's see how many failures we get without the internal build method

* Fix OpenAI

* Fix MobileBERT

* (Mostly) fix GroupVIT

* Fix BLIP

* One more BLIP fix

* One more BLIP fix!

* Fix Regnet

* Finally fully fix GroupViT

* Fix Data2Vec and add the new AdaptivePool

* Fix Segformer

* Fix Albert

* Fix Deberta/DebertaV2

* Fix XLM

* Actually fix XLM

* Fix Flaubert

* Fix lxmert

* Fix Resnet

* Fix ConvBERT

* Fix ESM

* Fix Convnext / ConvnextV2

* Fix SAM

* Fix Efficientformer

* Fix LayoutLMv3

* Fix speech_to_text

* Fix mpnet and mobilevit

* Fix Swin

* Fix CTRL

* Fix CVT

* Fix DPR

* Fix Wav2Vec2

* Fix T5

* Fix Hubert

* Fix GPT2

* Fix Whisper

* Fix DeiT

* Fix the encoder-decoder / dual-encoder classes

* make fix-copies

* build in name scope

* Fix summarization test

* Fix tied weight names for BART + Blenderbot

* Fix tied weight name building

* Fix to TFESM weight building

* Update TF SAM

* Expand all the shapes out into Big Boy Shapes

* [Seamless] Fix links in docs

* apply suggestions from code review

Fixed spelling error in T5 tokenizer warning message (s/thouroughly/thoroughly)

* correct language assessment  + add tests

* Update src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style + simplify and enrich test

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

generate refactor

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

fix trainign bug

safe import

* add inside_layer_modules arg

* fix

* change to modules_to_quantize_inside_block

* fix

* remane again

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* better docsting

* fix again with less explanation

* Update src/transformers/utils/quantization_config.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* style

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* upfaste

* Update

* Update docs/source/ja/model_doc/deformable_detr.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/ja/model_doc/data2vec.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/ja/model_doc/cvt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add suggestions

* Toctree update

* remove git references

* Update docs/source/ja/_toctree.yml
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/ja/model_doc/decision_transformer.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Add glossary to es/_toctree.yml

* Add glossary.md to es/

* A section translated

* B and C section translated

* Fix typo in en/glossary.md C section

* D section translated | Add a extra line in en/glossary.md

* E and F section translated | Fix typo in en/glossary.md

* Fix words preentrenado

* H and I section translated | Fix typo in en/glossary.md

* L section translated

* M and N section translated

* P section translated

* R section translated

* S section translated

* T section translated

* U and Z section translated | Fix TensorParallel link in both files

* Fix word

* Fix bug

* Write test

* Keep back old modification for grad accum steps

* Whitespace...

* Whitespace again

* Race condition

* Wait for everyone

* fix expected values

* style

* test is slow

* fix slow tests

* revert formatting

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Co-authored-by: Arindam Jati <arindam.jati@ibm.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>

* v1

* add-new-model-like

* revert

* fix forward and conversion script

* revert

* fix copies

* fixup

* fix

* Update docs/source/en/index.md

* Apply suggestions from code review

* push

* fix

* fixes here and there

* up

* fixup and fix tests

* Apply suggestions from code review

* add docs

* fixup

* fixes

* docstring

* add docstring

* fixup

* docstring

* fixup

* nit

* docs

* more copies

* fix copies

* nit

* update test

* [`Whisper`] raise better erros
fixes #27893

* update torch as well

* nits

* nits

* actual fix

* style

* ze fix

* fix fix fix style

* fix sdpa with non-contiguous inputs for gpt_bigcode

* fix other archs

* add currently comment

* format

* Improve the error printed when loading an unrecognized architecture

* Improve the error printed when loading an unrecognized architecture

* Raise a ValueError instead because KeyError prints weirdly

* make fixup

Update the link for vision encoder decoder doc used by
FlaxVisionEncoderDecoderModel link.

* fix loss computation

* compute on GPU if possible

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

* fixed typos (issue 27919)

* Update docs/source/en/tasks/knowledge_distillation_for_image_classification.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* Support PeftModel signature inspect

* Use get_base_model() to get the base model

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Co-authored-by: shujunhua1 <shujunhua1@jd.com>

streamline

Update formats

up

* fix no sequence length models error

* block size check

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Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

Update modeling_timesformer.py

Fixing typo to correct the stochastic depth decay rule

fix bug: cost matrix is infeasible

* fix a typo and add an illustrative test

* appease black

* reduce code duplication and add Annotion type back with a pending deprecation warning

* remove unused code

* change warning type

* black formatting fix

* change enum deprecation approach to support 3.8 and earlier

* add stacklevel

* fix black issue

* fix ruff issues

* fix ruff issues

* move tests to own mixin

* include yolos

* fix black formatting issue

* fix black formatting issue

* use logger instead of warnings and include target version for deprecation

* add deepspeed scheduled test for amd

* fix image

* add dockerfile

* add comment

* enable tests

* trigger

* remove trigger for this branch

* trigger

* change runner env to trigger the docker build image test

* use new docker image

* remove test suffix from docker image tag

* replace test docker image with original image

* push new image

* Trigger

* add back amd tests

* fix typo

* add amd tests back

* fix

* comment until docker image build scheduled test fix

* remove deprecated deepspeed build option

* upgrade torch

* update docker & make tests pass

* Update docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile

* fix

* tmp disable test

* precompile deepspeed to avoid timeout during tests

* fix comment

* trigger deepspeed tests with new image

* comment tests

* trigger

* add sklearn dependency to fix slow tests

* enable back other tests

* final update

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Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: Félix Marty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>