* Add tf code for efficientformer
* Fix return dict bug - return last hidden state after last stage
* Fix corresponding return dict bug
* Override test tol
* Change default values of training to False
* Set training to default False X3
* Rm axis from ln
* Set init in dense projection
* Rm debug stuff
* Make style; all tests pass.
* Modify year to 2023
* Fix attention biases codes
* Update the shape list logic
* Add a batch norm eps config
* Remove extract comments in test files
* Add conditional attn and hidden states return for serving output
* Change channel dim checking logic
* Add exception for withteacher model in training mode
* Revert layer count for now
* Add layer count for conditional layer naming
* Transpose for conv happens only in main layer
* Make tests smaller
* Make style
* Update doc
* Rm from_pt
* Change to actual expect image class label
* Remove stray print in tests
* Update image processor test
* Remove the old serving output logic
* Make style
* Make style
* Complete test
* doc refocused on using optimum, tflite
* minor updates to fix checks
* Apply suggestions from code review
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
* TFLite to separate page, added links
* Removed the onnx list builder
* make style
* Update docs/source/en/serialization.mdx
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
---------
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
* intiial commit
* new styling
* update
* just run doctest in CI
* remove more test for fast dev
* update
* update refs
* update path and fetch upstream
* update documentatyion trests
* typo
* parse pwd
* don't check for files that are in hidden folders
* just give paths relative to transformers
* update
* update
* update
* major refactoring
* make sure options is ok
* lest test that mdx is tested
* doctest glob
* nits
* update doctest nightly
* some cleaning
* run correct test on diff
* debug
* run on a single worker
* skip_cuda_test tampkate
* updates
* add rA and continue on failure
* test options
* parse `py` codeblock?
* we don't need to replace ignore results, don't remember whyu I put it
* cleanup
* more cleaning
* fix arg
* more cleaning
* clean an todo
* more pre-processing
* doctest-module has none so extra `- ` is needed
* remove logs
* nits
* doctest-modules ....
* oups
* let's use sugar
* make dataset go quiet
* add proper timeout
* nites
* spleling timeout
* update
* properly skip tests that have CUDSA
* proper skipping
* cleaning main and get tests to run
* remove make report?
* remove tee
* some updates
* tee was removed but is the full output still available?
* [all-test]
* only our tests
* don't touch tee in this PR
* no atee-sys
* proper sub
* monkey
* only replace call
* fix sub
* nits
* nits
* fix invalid syntax
* add skip cuda doctest env variable
* make sure all packages are installed
* move file
* update check repo
* revert changes
* nit
* finish cleanup
* fix re
* findall
* update don't test init files
* ignore pycache
* `-ignore-pycache` when running pytests
* try to fix the import missmatch error
* install dec
* pytest is required as doctest_utils imports things from it
* the only log issues were dataset, ignore results should work
* more cleaning
* Update .circleci/create_circleci_config.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* [ydshieh] empty string if cuda is found
* [ydshieh] fix condition
* style
* [ydshieh] fix
* Add comment
* style
* style
* show failure
* trigger CI
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Add model to doc tests
* Remove generate and replace by prepare_inputs_for_generation
* More fixes
* Remove print statements
* Update integration tests
* Fix generate
* Remove model from auto mapping
* Use auto processor
* Fix integration tests
* Fix test
* Add inference code snippet
* Remove is_encoder_decoder
* Update docs
* Remove notebook link
* Initial commit
* more stash commit
* Yet another stash commit
* yet more stash commit
* Mostly working except for docs / repo consistency
* Stop importing model list from torch file
* Add TF BLIP models to docs
* Add auto classes
* Move get_text_features and get_image_features
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/blip/test_modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/blip/test_modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/models/blip/test_modeling_tf_blip_text.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Use channels_last convolutions in TF (better performance + compatibility)
* Remove _shape function
* Move multi-line statement to one line in PT + TF
* Specify tf.keras.layers instead of importing from it
* Remove test_gradient_checkpointing and empty test_training methods
* move some multi-line statements to one line
* Update docstring for generate
* Remove pruned heads set
* Remove self.seq_len_dim
* Fixed issues with loss computation, should resolve some tests. Also ensured that the PT version follows the config for output_attentions and output_hidden_states
* ensure original model follows config in more cases
* Skip the same cross-attention tests in the PT tests - didn't realize we did it twice!
* Add training args throughout the models and layers
* make fixup
* Fix docstring for inputs_embeds
* Add docstring for is_decoder
* Add docstrings to text models
* Remove redundant computation
* Add unpack_inputs / keras_serializable
* Add modeling_tf_blip to doctests
* Add config classes for keras serialization
* Changes to allow model porting with pt-to-tf
* Quick fix to decoder head and test tweaks
* Revert an issue with masking the embeddings outputs
* Allow missing keys in some equivalence tests (for unused layers)
* Add tf-pt equivalence tests back in
* Update src/transformers/models/blip/modeling_tf_blip.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/blip/modeling_tf_blip_text.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* make fixup
* Refactor invert_attention_mask out into tf_utils
* Re-enable cross-tests on the PT side too
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Initial commit
* update modeling code
* update doc
* add functions necessary
* fix impotrs
* revert changes
* fixup
* more styling to get going
* remove standalone encoder
* update code
* styling
* fix config and model
* update code and some refactoring
* make more tests pass
* Adding NLLB-200 - MoE - 54.5B for no language left behind
Fixes#21300
* fix mor common tests
* styke
* update testing file
* update
* update
* Router2 doc
* update check config with sparse layer
* add dummy router
* update current conversion script
* create on the fly conversion script
* Fixup
* style
* style 2
* fix empty return
* fix return
* Update default config sparse layers
* easier to create sparse layers
* update
* update conversion script
* update modeling
* add to toctree
* styling
* make ruff happy
* update docstring
* update conversion script
* update, will break tests but impelemting top2
* update
* ❗local groups are supported here
* ⚠️ Support for local groups is now removed ⚠️
This is because it has to work with model parallelism that we do not support
* finish simplificaiton
* Fix forward
* style
* fixup
* Update modelling and test, refactoring
* update tests
* remove final layer)norm as it is done in the FF
* routing works! Logits test added
* nit in test
* remove top1router
* style
* make sure sparse are tested. Had to change route_tokens a liottle bit
* add support for unslip models when converting
* fixup
* style
* update test s
* update test
* REFACTOR
* encoder outputs match!
* style
* update testing
* 🎉encoder and decoder logits match 🎉
* styleing
* update tests
* cleanup tests
* fix router test and CIs
* cleanup
* cleanup test styling
* fix tests
* Finally the generation tests match!
* cleanup
* update test
* style testing file
* remove script
* cleanup
* more cleanup
* nits
* update
* NLLB tokenizer is wrong and will be fixed soon
* use LongTensors
* update tests
* revert some small changes
* fix second expert sampling and batch prioritized routing
* update tests
* finish last tests
* make ruff happy
* update
* ruff again
* style
* Update docs/source/en/model_doc/nllb-moe.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Updates based on review
* style and fix import issue
* nit
* more nits
* cleanup
* styling
* update test_seconde_expert_policy
* fix name
* last nit on the markdown examples
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update UNCONVERTIBLE_MODEL_ARCHITECTURES
* Deal with 2 model tester classes in single test file
* Deal with 2 model tester classes in single test file
* Deal with 2 model tester classes in single test file
* make style and quality
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* add new model of MGP-STR
* fix the check failings
* remove torch and numpy from mgp_tokenization
* remove unused import from modeling_mgp_str
* add test_processing_mgp_str
* rm test_processing_mgp_str.py
* add test_processing_mgp_str
* add test_processing_mgp_str
* add test_processing_mgp_str
* rm test_processing_mgp_str and add softmax outs to model
* rm test_processing_mgp_str and add softmax outs to model
* rewrite the code of mgp-str according to PR suggestions
* rewrite the code of mgp-str according to PR suggestions
* add new model of MGP-STR
* fix the check failings
* remove torch and numpy from mgp_tokenization
* remove unused import from modeling_mgp_str
* add test_processing_mgp_str
* rm test_processing_mgp_str.py
* add test_processing_mgp_str
* add test_processing_mgp_str
* add test_processing_mgp_str
* rm test_processing_mgp_str and add softmax outs to model
* rewrite the code of mgp-str according to PR suggestions
* rewrite the code of mgp-str according to PR suggestions
* remove representation_size from MGPSTRConfig
* reformat configuration_mgp_str.py
* format test_processor_mgp_str.py
* add test for tokenizer and complete model/processer test and model file
* rm Unnecessary tupple in modeling_mgp_str
* reduce hidden_size/layers/label_size in test_model
* add integration tests and change MGPSTR to Mgpstr
* add test for logit values
* reformat test model file
---------
Co-authored-by: yue kun <yuekun.wp@alibaba-inc.com>
