* fix beam indices in token_timestamps
* fix attention_mask in FA2
* correct translation example with the right example
* correct how somes tests are using outputs + correct num_frames
* fix shortform batch prev cond tests
* make fix-copies
* make fix-copies
* take care of shifting beam indices
* [run-slow] whisper
* [run-slow] whisper
* add tests
* fix whisper
* update
* nit
* add qwen2-vl
* more updates!
* better this way
* fix this one
* fix more tests
* fix final tests, hope so
* fix led
* Update tests/generation/test_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* pr comments
* not pass pixels and extra for low-mem tests, very flaky because of visio tower
---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* added sequences_scores to the output
* added beam_indices to output
* added test to check for beam_indices, sequences_scores and their shape
* removed redundant whitespaces
* make fixup
* Fix failing tensor placement in Whisper
* fix long form generation tests
* more return_timestamps=True
* make fixup
* [run_slow] whisper
* [run_slow] whisper
* Update tokenization_whisper.py
Fix issue with flax whisper model
* Update tokenization_whisper_fast.py
Fix issue with flax whisper model
* Update tokenization_whisper.py
just check len of token_ids
* Update tokenization_whisper_fast.py
just use len of token_ids
* Update tokenization_whisper_fast.py and revert changes in _strip_prompt and add support to jax arrays in _convert_to_list
* Update tokenization_whisper.py and revert changes in _strip_prompt and add support to jax arrays in _convert_to_list
* Update test_tokenization_whisper.py to add test for _convert_to_list method
* Update test_tokenization_whisper.py to fix code style issues
* Fix code style
* Fix code check again
* Update test_tokenization)whisper.py to Improve code style
* Update test_tokenization_whisper.py to run each of jax, tf and flax modules if available
* Update tests/models/whisper/test_tokenization_whisper.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update test_tokenization_whisper.py and use require_xxx decorators instead of `is_xxx_available()` method
* Revert the changes automatically applied by formatter and was unrelated to PR
* Format for minimal changes
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Add validation for maximum sequence length in modeling_whisper.py
Added a validation check to ensure that the sequence length of labels does not exceed the maximum allowed length of 448 tokens. If the sequence length exceeds this limit, a ValueError is raised with a descriptive error message.
This change prevents the model from encountering errors or unexpected behavior due to excessively long sequences during training or fine-tuning, ensuring consistent input dimensions and improving overall robustness.
* Change exception message in src/transformers/models/whisper/modeling_whisper.py
The exception message is for whisper's label's sequence max length.
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* Change 448 to config.max_target_positions in src/transformers/models/whisper/modeling_whisper.py
It's for whisper's config.max_target_positions.
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* Change method's documentation in src/transformers/models/whisper/modeling_whisper.py
* Add test for maximum label's sequence length in test_modeling_whisper.py
* Add self to modeling_whisper.py
* Update test_modeling_whisper.py with respect to automatic validations
* Update modeling_whisper.py with respect to ci/circleci: check_code_quality
* Update test_modeling_whisper.py with respect to ci/circleci: check_code_quality
* Update test_modeling_whisper.py with respect to ci/circleci: tests_generate
* Update test_modeling_whisper.py with respect to ci/circleci: tests_generate
* Update test_modeling_whisper.py with respect to ci/circleci: check_code_quality
* Separate test_labels_sequence_max_length tests in test_modeling_whisper.py
* Update test_modeling_whisper.py with respect to ci/circleci: check_code_quality
* Remove assert from test_modeling_whisper.py
* Add max_target_positions to WhisperModelTester in test_modeling_whisper.py
* Update test_modeling_whisper.py with respect to ci/circleci: check_code_quality
* Update test_modeling_whisper.py with respect to ci/circleci: tests_generate
* Update test_modeling_whisper.py
* Change test_labels_sequence_max_length_error_after_changing_config in test_modeling_whisper.py
* Change self.config.max_target_positions to self.max_target_positions modeling_whisper.py
* Add new tests in test_modeling_whisper.py
* Update test_modeling_whisper.py
---------
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* mvp
* added test (a few models need fixes)
* fix a few test cases
* test nits
* harder test 😈
* revert changes in stablelm
* test with improved condition
* add todo
* tmp commit
* merged with main
* nits
* add todo
* final corrections
* add docs for generation compilation
* docs nits
* add tip
* PR suggestions
* add more details to the compilation docs
* fix cache positions
* cache is now init in generate; update docs
* tag test as flaky
* docs
* post rebase make fixup and other nits
* remove unintended changes
* whisper (encoder-decoder) not supported
* move token default updates to ; add tests for token defaults
* push changes
* manual rebase
* chameleon doesn't support this
* fix test_static_cache_mha_mqa_gqa (broken in another PR)
* docs: dynamic is better with end-to-end compilation
* Pass datasets trust_remote_code
* Pass trust_remote_code in more tests
* Add trust_remote_dataset_code arg to some tests
* Revert "Temporarily pin datasets upper version to fix CI"
This reverts commit b7672826ca.
* Pass trust_remote_code in librispeech_asr_dummy docstrings
* Revert "Pin datasets<2.20.0 for examples"
This reverts commit 833fc17a3e.
* Pass trust_remote_code to all examples
* Revert "Add trust_remote_dataset_code arg to some tests" to research_projects
* Pass trust_remote_code to tests
* Pass trust_remote_code to docstrings
* Fix flax examples tests requirements
* Pass trust_remote_dataset_code arg to tests
* Replace trust_remote_dataset_code with trust_remote_code in one example
* Fix duplicate trust_remote_code
* Replace args.trust_remote_dataset_code with args.trust_remote_code
* Replace trust_remote_dataset_code with trust_remote_code in parser
* Replace trust_remote_dataset_code with trust_remote_code in dataclasses
* Replace trust_remote_dataset_code with trust_remote_code arg
* Rename to test_model_common_attributes
The method name is misleading - it is testing being able to get and set embeddings, not common attributes to all models
* Explicitly skip
* Add support for mixing languages in a single batch
* Update docstring
* Enable different detected languages in batch
* Do not require input_features
* Test list of languages
* Fix comment
* Make init_tokens length-1 if possible, broadcast at the end
* Test for ValueError with language list of incorrect length
* Slow test for batched multilingual transcription
* fixup
* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Address review, refactor
* Second attempt to move this line where it was originally
* Split test, fix a bug
---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* add _torch_extract_fbank_features_batch function in feature_extractor_whisper
* reformat feature_extraction_whisper.py file
* handle batching in single function
* add gpu test & doc
* add batch test & device in each __call__
* add device arg in doc string
---------
Co-authored-by: vaibhav.aggarwal <vaibhav.aggarwal@sprinklr.com>
* Fix generate_with_fallback **kwargs
* Change pop to get
* Delete keys from kwargs to prevent overriding generation_config
* Revert to passing kwargs by reference, but make a (shallow) copy
* dict -> copy.copy
* Add test_whisper_longform_multi_batch_beam
* add tests for batching support
* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* fixes and comments
* use cosine distance for conv models
* skip mra model testing
* Update tests/models/vilt/test_modeling_vilt.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* finzalize and make style
* check model type by input names
* Update tests/models/vilt/test_modeling_vilt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fixed batch size for all testers
* Revert "fixed batch size for all testers"
This reverts commit 525f3a0a05.
* add batch_size for all testers
* dict from model output
* do not skip layoutlm
* bring back some code from git revert
* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* clean-up
* where did minus go in tolerance
* make whisper happy
* deal with consequences of losing minus
* deal with consequences of losing minus
* maskformer needs its own test for happiness
* fix more models
* tag flaky CV models from Amy's approval
* make codestyle
---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* left-padding test revisited
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
