This commit fixes the following errors:
* Fix "expected all tensors to be on the same device" error
* Fix "can't convert device type tensor to numpy"
According to pytorch documentation torch.Tensor.numpy(force=False)
performs conversion only if tensor is on CPU (plus few other restrictions)
which is not the case. For our case we need force=True since we just
need a data and don't care about tensors coherency.
Fixes: #33517
See: https://pytorch.org/docs/2.4/generated/torch.Tensor.numpy.html
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
* add sdpa to dinov2
* fixup
* add dinov2 to sdpa doc
* update doc order
* [run-slow] dinov2
* common to eager
* [run-slow] dinov2
* update attn implementation in common
* update test_modeling_dinov2 to have mask_ration, num_masks and mask_length similar to vit
* [run-slow] dinov2
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Co-authored-by: Avishai Elmakies <avishai.elma@cs.huji.ac.il>
* add check and prepare args for BC to ProcessorMixin, improve ProcessorTesterMixin
* change size and crop_size in processor kwargs tests to do_rescale and rescale_factor
* remove unnecessary llava processor kwargs test overwrite
* nit
* change data_arg_name to input_name
* Remove unnecessary test override
* Remove unnecessary tests Paligemma
* Move test_prepare_and_validate_optional_call_args to TesterMixin, add docstring
* 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
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Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* clean mimi commit
* some nits suggestions from Arthur
* make fixup
* rename repo id + change readme
* Update docs/source/en/model_doc/mimi.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add flaky flag to batching equivalence due to audio_codes failing sometimes
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix patch_attention_mask incorrect setting which leads to the difference in the generated text if batch > 1
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* fix format
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* [run_slow] idefics2
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Signed-off-by: Wang, Yi <yi.a.wang@intel.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
* idefics2 enable_input_require_grads not aligned with disable_input_require_grads
make peft+idefics2 checkpoints disable fail
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* split test case
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* fix ci failure
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* refine test
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
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Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
* refactor weight_norm + propose uniformed solution to reconcile meta load_state_dict with classic loading
* make style
* fix sew
* fix sew and sew_d tests
* Fix failing tensor placement in Whisper
* fix long form generation tests
* more return_timestamps=True
* make fixup
* [run_slow] whisper
* [run_slow] whisper
* Uniformize kwargs for LlaVa and update docs
* Change order of processor inputs in docstring
* Improve BC support for reversed images and text inputs
* cleanup llava processor call docstring
* Add encoded inputs as valid text inputs in reverse input check, add deprecation version in warning
* Put function check reversed images text outside base processor class
* Refactor _validate_images_text_input_order
* Add ProcessingUtilTester
* fix processing and test_processing
* initial commit
* gloups
* updates
* work
* weights match
* nits
* nits
* updates to support the tokenizer :)
* updates
* Pixtral processor (#33454)
* rough outline
* Add in image break and end tokens
* Fix
* Udo some formatting changes
* Set patch_size default
* Fix
* Fix token expansion
* nit in conversion script
* Fix image token list creation
* done
* add expected results
* Process list of list of images (#33465)
* updates
* working image and processor
* this is the expected format
* some fixes
* push current updated
* working mult images!
* add a small integration test
* Uodate configuration docstring
* Formatting
* Config docstring fix
* simplify model test
* fixup modeling and etests
* Return BatchMixFeature in image processor
* fix some copies
* update
* nits
* Update model docstring
* Apply suggestions from code review
* Fix up
* updates
* revert modeling changes
* update
* update
* fix load safe
* addd liscence
* update
* use pixel_values as required by the model
* skip some tests and refactor
* Add pixtral image processing tests (#33476)
* Image processing tests
* Add processing tests
* woops
* defaults reflect pixtral image processor
* fixup post merge
* images -> pixel values
* oups sorry Mr docbuilder
* isort
* fix
* fix processor tests
* small fixes
* nit
* update
* last nits
* oups this was really breaking!
* nits
* is composition needs to be true
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix long seq bug
* fixed format
* fixed fn copy inconsistency
* fix long seq bug
* fixed format
* fixed fn copy inconsistency
* Addressed comments
* added a unit test
* fixed cache position
* Added a warning msg to the forward fn
* fixed test case
* 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
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Import structure & first three model refactors
* Register -> Export. Export all in __all__. Sensible defaults according to filename.
* Apply most comments from Amy and some comments from Lucain
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain Pouget <lucainp@gmail.com>
* Style
* Add comment
* Clearer .py management
* Raise if not in backend mapping
* More specific type
* More efficient listdir
* Misc fixes
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain Pouget <lucainp@gmail.com>
* add self.head_dim for VisionAttention in Qwen2-VL
* add self.head_dim for VisionAttention in Qwen2-VL
* fix ci
* black the test_modeling_qwen2_vl.py
* use ruff to format test_modeling_qwen2_vl.py
* [run-slow] qwen2_vl
* use tying for python3.8
* fix the import format
* use ruff to fix the ci error I001
* [run-slow] qwen2_vl
* remove unused import
* commit for rebase
* use ruff fix ci
* [run-slow] qwen2_vl
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Co-authored-by: root <liji>
