* Port core files + ESM (because ESM code is odd)
* Search-replace in modelling code
* Fix up transfo_xl as well
* Fix other core files + tests (still need to add correct import to tests)
* Fix cookiecutter
* make fixup, fix imports in some more core files
* Auto-add imports to tests
* Cleanup, add imports to sagemaker tests
* Use correct exception for importing tf_keras
* Fixes in modeling_tf_utils
* make fixup
* Correct version parsing code
* Ensure the pipeline tests correctly revert to float32 after each test
* Ensure the pipeline tests correctly revert to float32 after each test
* More tf.keras -> keras
* Add dtype cast
* Better imports of tf_keras
* Add a cast for tf.assign, just in case
* Fix callback imports
* 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
* try to stylify using ruff
* might need to remove these changes?
* use ruf format andruff check
* use isinstance instead of type comparision
* use # fmt: skip
* use # fmt: skip
* nits
* soem styling changes
* update ci job
* nits isinstance
* more files update
* nits
* more nits
* small nits
* check and format
* revert wrong changes
* actually use formatter instead of checker
* nits
* well docbuilder is overwriting this commit
* revert notebook changes
* try to nuke docbuilder
* style
* fix feature exrtaction test
* remve `indent-width = 4`
* fixup
* more nits
* update the ruff version that we use
* style
* nuke docbuilder styling
* leve the print for detected changes
* nits
* Remove file I/O
Co-authored-by: charliermarsh
<charlie.r.marsh@gmail.com>
* style
* nits
* revert notebook changes
* Add # fmt skip when possible
* Add # fmt skip when possible
* Fix
* More ` # fmt: skip` usage
* More ` # fmt: skip` usage
* More ` # fmt: skip` usage
* NIts
* more fixes
* fix tapas
* Another way to skip
* Recommended way
* Fix two more fiels
* Remove asynch
Remove asynch
---------
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>
* Safetensors serialization by default
* First pass on the tests
* Second pass on the tests
* Third pass on the tests
* Fix TF weight loading from TF-format safetensors
* Specific encoder-decoder fixes for weight crossloading
* Add VisionEncoderDecoder fixes for TF too
* Change filename test for pt-to-tf
* One missing fix for TFVisionEncoderDecoder
* Fix the other crossload test
* Support for flax + updated tests
* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Sanchit's comments
* Sanchit's comments 2
* Nico's comments
* Fix tests
* cleanup
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
---------
Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Add a default decoder_attention_mask for EncoderDecoderModel during training
Since we are already creating the default decoder_input_ids from the labels, we should also
create a default decoder_attention_mask to go with it.
* Fix test constant that relied on manual_seed()
The test was changed to use a decoder_attention_mask that ignores padding instead (which is
the default one created by BERT when attention_mask is None).
* Create the decoder_attention_mask using decoder_input_ids instead of labels
* Fix formatting in test
* A fun new PR where I break the entire codebase again
* A fun new PR where I break the entire codebase again
* Handle cross-attention
* Move calls to model(model.dummy_inputs) to the new build() method
* Seeing what fails with the build context thing
* make fix-copies
* Let's see what fails with new build methods
* Fix the pytorch crossload build calls
* Fix the overridden build methods in vision_text_dual_encoder
* Make sure all our build methods set self.built or call super().build(), which also sets it
* make fix-copies
* Remove finished TODO
* Tentatively remove unneeded (?) line
* Transpose b in deberta correctly and remove unused threading local
* Get rid of build_with_dummies and all it stands for
* Rollback some changes to TF-PT crossloading
* Correctly call super().build()
* Rework TF type hints to use | None instead of Optional[] for tf.Tensor
* Rework TF type hints to use | None instead of Optional[] for tf.Tensor
* Don't forget the imports
* Add the imports to tests too
* make fixup
* Refactor tests that depended on get_type_hints
* Better test refactor
* Fix an old hidden bug in the test_keras_fit input creation code
* Fix for the Deit tests
* Result of black 23.1
* Update target to Python 3.7
* Switch flake8 to ruff
* Configure isort
* Configure isort
* Apply isort with line limit
* Put the right black version
* adapt black in check copies
* Fix copies
* 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
* First step of PT->TF for composite models
* Update the tests
* For VisionEncoderDecoderModel
* Fix
* Fix
* Add comment
* Fix
* clean up import
* Save memory
* For (TF)EncoderDecoderModel
* For (TF)EncoderDecoderModel
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
