* enable glm4 integration cases on XPU, set xpu expectation for blip2
Signed-off-by: Matrix YAO <matrix.yao@intel.com>
* more
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* fix style
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* refine wording
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* refine test case names
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* run
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* add gemma2 and chameleon
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* fix review comments
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
---------
Signed-off-by: Matrix YAO <matrix.yao@intel.com>
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
* Add dithering to the `Speech2TextFeatureExtractor` API.
- in kaldi : 4a8b7f6732/src/feat/feature-window.cc (L145)
- with dithering without a seed, the features become non-deterministic due
to small Gaussian noise added to the audio (i.e. 2 runs lead to little
different outputs)
* update the PR
- add dithering also for WhisperFeatureExtractor
- not adding to Wav2Vec2FeatureExtractor (no FBANK computation)
* add unit-tests for dithering, fix docstrings
* ruff
* utils/check_copies.py --fix_and_overwrite
* update code, add seed to unit-test
* adding explanation of dithering
* use torch.testing.assertclose instead to get more details about error in cis
* fix
* style
* test_all
* revert for I bert
* fixes and updates
* more image processing fixes
* more image processors
* fix mamba and co
* style
* less strick
* ok I won't be strict
* skip and be done
* up
* add more cases
* fix method not found in unittest
Signed-off-by: Lin, Fanli <fanli.lin@intel.com>
* fix more cases
* add more models
* add all
* no unittest.case
* remove for oneformer
* fix style
---------
Signed-off-by: Lin, Fanli <fanli.lin@intel.com>
* 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
* 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>
* Remove CLI spams with Whisper FeatureExtractor
Whisper feature extractor representation includes the MEL filters, a list of list that is represented as ~16,000 lines. This needlessly spams the command line. I added a `__repr__` method that replaces this list with a string "<array of shape (80, 201)>"
* Remove mel_filters from to_dict output
Credits to @ArthurZucker
* remove unused import
* update feature extraction tests for the changes in to_dict
* 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
