Sai-Suraj-27
da79b18087
fix: Removed duplicate field definitions in some classes ( #31888 )
...
Removed duplicate field definitions in classes.
2024-07-10 13:46:31 +01:00
Yung-Sung Chuang
d094d8d9ec
Generate: Add new decoding strategy "DoLa" in .generate() ( #29619 )
...
Co-authored-by: Joao Gante <joao@huggingface.co>
2024-07-09 17:37:38 +01:00
Yih-Dar
4879ac2b33
Avoid failure TFBlipModelTest::test_pipeline_image_to_text ( #31827 )
...
* fix
* fix
* fix
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-07-08 13:49:21 +02:00
Pavel Iakubovskii
a177821b24
Add FA2 and sdpa support for SigLIP ( #31499 )
...
* Rebase to main
* Fix attention implementation autoset for tex and vision configs
* Fixup
* Minor fixes
* Fix copies
* Fix attention_mask for FA2
* Add eqvivalence tests for siglip
* Remove right padding test
* Uncomment flaky
* Fix import
* Add to docs
* Fix test message
* Add sdpa
* Add sdpa equivalence test
* Add siglip sdpa to docs
* Fix typing for attention output
* Add sdpa tests
* Fix signature of FA2
* Autoset attn_implementation in config
* Rename bsz -> batch_size
* Move back autoset attn method
* Mark as flaky
* Correct attention mask padding
* [run-slow] siglip
* Add FA2 and sdpa docs
* Style fix
* Remove flaky for FA2 test
* Change attention implementation set
* Change attn_implementaiton propogation
* Fix typos
* Add modality to assert message
* Add more sdpa backends in test
* [run slow] siglip
* Add math sdpa backend for all options
* [run slow] siglip
2024-07-08 11:10:02 +01:00
NielsRogge
06fd7972ac
Add ZoeDepth ( #30136 )
...
* First draft
* Add docs
* Clean up code
* Convert model
* Add image processor
* Convert Zoe_K
* More improvements
* Improve variable names and docstrings
* Improve variable names
* Improve variable names
* Replace nn.sequential
* More improvements
* Convert ZoeD_NK
* Fix most tests
* Verify pixel values
* Verify pixel values
* Add squeeze
* Update beit to support arbitrary window sizes
* Improve image processor
* Improve docstring
* Improve beit
* Improve model outputs
* Add figure
* Fix beit
* Update checkpoint
* Fix repo id
* Add _keys_to_ignore_on_load_unexpected
* More improvements
* Address comments
* Address comments
* Address comments
* Address comments
* Rename variable name
* Add backbone_hidden_size
* Vectorize
* Vectorize more
* Address comments
* Clarify docstring
* Remove backbone_hidden_size
* Fix image processor
* Remove print statements
* Remove print statement
* Add integration test
* Address comments
* Address comments
* Address comments
* Address comments
* Add requires_backends
* Clean up
* Simplify conversion script
* Simplify more
* Simplify more
* Simplify more
* Clean up
* Make sure beit is loaded correctly
* Address comment
* Address bin_configurations
* Use bin_configurations
* Convert models, add integration tests
* Fix doc test
* Address comments
* Unify regressor classes
* Clarify arguments
* Improve resize_image
* Add num_relative_features
* Address comment
* [run-slow]beit,data2vec,zoedepth
* [run-slow]beit,data2vec,zoedepth
* Address comments
* Address comment
* Address comment
* Replace nn.TransformerEncoderLayer and nn.TransformerEncoder
* Replace nn.MultiheadAttention
* Add attributes for patch transformer to config
* Add tests for ensure_multiple_of
* Update organization
* Add tests
* [run-slow] beit data2vec
* Update ruff
* [run-slow] beit data2vec
* Add comment
* Improve docstrings, add test
* Fix interpolate_pos_encoding
* Fix slow tests
* Add docstring
* Update src/transformers/models/zoedepth/image_processing_zoedepth.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/zoedepth/image_processing_zoedepth.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Improve tests and docstrings
* Use run_common_tests
* Improve docstrings
* Improve docstrings
* Improve tests
* Improve tests
* Remove print statements
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-07-08 11:43:33 +02:00
Billy Cao
1d3eaa6f7e
Add training support for SigLIP ( #31495 )
...
* Add siglip loss function
* Update docs
* Enable training tests
[experimental] enable GC training tests as it has worked for my own data
* Remove test_training* overrides to enable training tests
[run_slow] siglip
* Skip training tests for Siglip text model and ImageClassificationModel
[run_slow] siglip
* Skip GC training tests for SiglipForImageClassification
* Explicitly skip training tests for SiglipVisionModel
Add skip reason for training tests for SiglipTextModel
* Remove copied from to fix CI
2024-07-05 14:50:39 +01:00
Yih-Dar
eef0507f3d
Fix gemma tests ( #31794 )
...
* skip 3 7b tests
* fix
* fix
* fix
* [run-slow] gemma
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-07-05 10:17:59 +02:00
Pavel Iakubovskii
048f599f35
Fix RT-DETR weights initialization ( #31724 )
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* Fix init for rt-detr heads
* Fixup
* Add separate prior_prob value to config for initialization
* Add bbox init
* Change to 1 / num_labels init
* Adjust weights init test
* Fix style for test
2024-07-03 14:29:02 +01:00
Pavel Iakubovskii
b97521614a
Fix RT-DETR cache for generate_anchors ( #31671 )
...
* Fix cache and type conversion
* Add test
* Fixup
* nit
* [run slow] rt_detr
* Fix test
* Fixup
* [run slow] rt_detr
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
2024-07-03 14:19:57 +01:00
Joao Gante
ddfaf11926
Gemma 2: Update slow tests ( #31759 )
...
gemma 2 slow tests
2024-07-03 11:43:44 +02:00
Sanchit Gandhi
a9701953ff
[whisper] static kv cache ( #31166 )
...
* make work with cache abstraction
* correct for static cache
* hacks for compile
* make fast
* fix
* fix pos ids
* generate
* fix sdpa
* fix sdpa cache pos
* fix fa2
* clean fa2
* integrate cache into generate
* make style
* copies
* more copies
* update eager
* update sdpa
* update fa2
* simplify
* use cache pos
* always compute cross-cache for debug
* avoid recompiles
Co-authored-by: Arthur Zucker <arthur@huggingface.co>
* fix fix
* fix fix fix
* more fix
* try encoder-decoder cache (too messy)
* revert encoder-decoder cache
* check cross-attn cache
* use enc-dec dataclass
* use richer enc-dec dataclass
* clean-up
* revert static cache changes
* small fixes
* revert to cpu flag
* fix copies
* add static slow test
* past k/v docstring
* more docstrings
* cache_position docstrings
* add to docs
* add enc-dec cache to docs
* make style
* fix after rebase
* fix beam
* style
* fix generation strategies
* fix most decoder-only tests
* style
* skip test
* more clean up
* small docstrings
* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* add todo
* only crop self-attn
* check cache in mixin
* style
* fix re-compile after rebase
* move `is_updated` logic to enc-dec wrapper
* revert back
* revert cache back
* finalise design
* fix
* fix fix
* style
* Update src/transformers/cache_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* deprecate
* updates
* final updates
* style
* style
---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-07-02 13:24:15 +01:00
Jacky Lee
82a1fc7256
Fix return_dict in encodec ( #31646 )
...
* fix: use return_dict parameter
* fix: type checks
* fix: unused imports
* update: one-line if else
* remove: recursive check
2024-06-28 12:18:01 +01:00
Arthur
75a6319864
Fix post gemma merge ( #31660 )
...
* nit
* toctree issue
* protect gemma2 tests as well
* sdpa supported
2024-06-27 17:51:42 +02:00
Arthur
0cf60f13ab
Add gemma 2 ( #31659 )
...
* inital commit
* Add doc
* protect?
* fixup stuffs
* update tests
* fix build documentation
* mmmmmmm config attributes
* style
* nit
* uodate
* nit
* Fix docs
* protect some stuff
---------
Co-authored-by: Lysandre <lysandre@huggingface.co>
2024-06-27 17:36:19 +02:00
Sangbum Daniel Choi
be50a0338b
change anchor_image_size None for compatibility ( #31640 )
...
* change anchor_image_size None for compatibility
* make fix-copies
2024-06-27 12:36:55 +01:00
amyeroberts
1de7dc7403
Skip tests properly ( #31308 )
...
* Skip tests properly
* [test_all]
* Add 'reason' as kwarg for skipTest
* [test_all] Fix up
* [test_all]
2024-06-26 21:59:08 +01:00
Billy Cao
1f9f57ab4c
Fix dtype casting in swinv2 and swinv2sr to allow non-FP32 inference ( #31589 )
...
* Fix dtype casting in modeling_swin2sr to allow non-FP32 inference
* Fix formattting
* Fix for swinv2 too
* Update src/transformers/models/swin2sr/modeling_swin2sr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/swinv2/modeling_swinv2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Add FP16 tests for swin2sr and swinv2
* [run_slow] swin2sr, swinv2
* [run_slow] swin2sr, swinv2
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-06-26 18:46:48 +01:00
Pablo Montalvo
492ee17ec3
Fix paligemma detection inference ( #31587 )
...
* fix extended attention mask
* add slow test for detection instance
* [run-slow]paligemma
2024-06-26 19:17:09 +02:00
Raushan Turganbay
e71f2863d7
Add LLaVa NeXT Video ( #31252 )
...
* squash into single commit
* run diff once more
* docstring
* tests
* minor chnages and ready to go
* Update src/transformers/models/llava_next_video/processing_llava_next_video.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/models/vipllava/test_modeling_vipllava.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* [run-slow] llava-next-video
* [run-slow] llava-next-video
* [run-slow] llava_next_video
* fix two tests
* fix slow tests
* remove logit checks due to numeric errors
* run test once more
* [run-slow] llava_next_video
* final try to pass the test
* [run-slow] llava_next_video
* [run-slow] llava_next_video
* [run-slow] llava_next_video
* style
* fix
* style
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-06-26 21:52:28 +05:00
Pavel Iakubovskii
b1ec745475
Fix RT-DETR inference with float16 and bfloat16 ( #31639 )
...
* [run_slow] rt_detr
* Fix positional embeddings and anchors dtypes
* [run slow] rt_detr
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Fixup
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-06-26 17:50:10 +01:00
Anton Vlasjuk
b07770c5eb
[GPT-NeoX] Add SDPA support ( #31031 )
...
* starting support for sdpa in `gptneox` models
* small comment on tests
* fix dropout
* documentation and style
* clarify concrete paths for reference
* generalise attn projections and rope application
added head mask check to sdpa mask creation
handle sdpa memory backend bug via own version flag
* update docs and style
* move dtype casting outside of general attn_projection_and_rope function
fix flash_attn_2 stuff
* more generic attn warning if output_attns or head_mask
* simplify head mask check by moving head mask creation to a later point
* remove copied llama artifact
* remove padding_mask from attention function signature
* removing unnecessary comments, only "save" attn implementation once
* [run_slow] gpt_neox
2024-06-26 13:56:36 +01:00
amyeroberts
0f67ba1d74
Add ViTImageProcessorFast to tests ( #31424 )
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* Add ViTImageProcessor to tests
* Correct data format
* Review comments
2024-06-25 13:36:58 +01:00
Raushan Turganbay
fc689d75a0
Add video modality for InstrucBLIP ( #30182 )
...
* squash in single commit
* add docs
* dummy obj
* more changes in diff converter
* tiny fix
* make docs happy
* skip test
* repo consistency tests
* update docstring
* style
* fix tests
* change diff imports
* [run-slow] instructblipvideo
* [run-slow] instructblipvideo
* fix tests and remove logit check
* [run-slow] instructblipvideo
2024-06-25 15:45:39 +05:00
Raushan Turganbay
7e86cb6c6f
Siglip: add _no_split_module ( #31566 )
...
* device-map siglip
* move split modules to PretrainedSigLip
2024-06-25 09:49:55 +05:00
Pavel Iakubovskii
3c2d4d60d7
Correct @is_flaky test decoration ( #31480 )
...
* Correct @is_flaky decorator
2024-06-24 08:09:21 +01:00
Sangbum Daniel Choi
74a207404e
New model support RTDETR ( #29077 )
...
* fill out docs string in configuration
75dcd3a0e8 (r1506391856)https://github.com/huggingface/transformers/pull/29077#discussion_r1516657790
* simple typo
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* intermediate fix
* fix with load_backbone format
* remove unused configuration
* 3 fix test left
* make style
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: Sounak Dey <dey.sounak@gmail.com>
* change last_hidden_state to first index
* all pass fix
TO DO: minor update in comments
* make fix-copies
* remove deepcopy
* pr_document fix
* revert deepcopy due to the issue of unexpceted behavior in decoderlayer
* add atol in final
* add no_split_module
* _no_split_modules = None
* device transfer for model parallelism
* minor fix
* make fix-copies
* fix typo
* add test_image_processor with post_processing
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add config in RTDETRPredictionHead
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* set lru_cache with max_size 32
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add lru_cache import and configuration change
* change the order of definition
* make fix-copies
* add docs and change config error
* revert strange make-fix
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* test pass
* fix get_clones related and remove deepcopy
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* nit for paper section
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* rename denoising related parameters
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* check the image transformation logic
* make style
* make style
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* pe_encoding -> positional_encoding_temperature
* remove TODO
* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* remove eval_idx since transformer DETR is giving all decoder output
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* change variable name
* make style and docs import update
* Revert "Update src/transformers/models/rt_detr/image_processing_rt_detr.py"
This reverts commit 74aa3e1de0ccb7a34051d136225cd3
2024-06-21 17:50:08 +01:00
Ita Zaporozhets
1e79eade41
SPLIT PR: add user defined symbols and control symbols ( #31305 )
...
* PR SPLIT: moving origina changes for adding user defined symbols
* adding gemma test and generalizing gemma converter
* ruff
* update common test
* update serialization test
* deberta v2 tests updates as rust version adds '.' as a user added token, so a space is not added
* removing commented lines
* applying feedback - user only added_tokens to add and check piece.type instead of trainer_spec for user_defined_symbols
* add comment referencing sentencepiece
2024-06-21 01:48:10 -07:00
Yih-Dar
ec905f3a76
unskip 2 tests in cohere ( #31517 )
...
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-06-20 17:21:08 +02:00
Joao Gante
1fd60fec75
RWKV: enable generation tests ( #31490 )
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* add rwkv tests
* has_attentions set in individual tests
2024-06-20 14:15:01 +01:00
Joao Gante
83259e406d
Mamba: add generative tests ( #31478 )
2024-06-19 10:27:23 +01:00
amyeroberts
609e662243
Use self.config_tester.run_common_tests() ( #31431 )
...
* First testing updating config tests
* Use run_common_tests
2024-06-19 10:18:08 +01:00
Anton Vlasjuk
b275a41005
[GPT2] Add SDPA support ( #31172 )
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* `gpt2` sdpa support
* fix (at least) one test, style, repo consistency
* fix sdpa mask in forward --> fixes generation
* test
* test2
* test3
* test4
* simplify shapes for attn mask creation and small comments
* hub fail test
* benchmarks
* flash attn 2 mask should not be inverted on enc-dec setup
* fix comment
* apply some suggestion from code review
- only save _attn_implentation once
- remove unnecessary comment
* change elif logic
* [run-slow] gpt2
* modify `test_gpt2_sample_max_time` to follow previous assertion patterns
2024-06-19 09:40:57 +02:00
Albert Villanova del Moral
a14b055b65
Pass datasets trust_remote_code ( #31406 )
...
* 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 b7672826ca833fc17a3e
2024-06-17 17:29:13 +01:00
amyeroberts
02c525d226
Rename misnamed image processor test files ( #31430 )
2024-06-17 10:21:28 +01:00
amyeroberts
20812237ce
Remove empty create_and_test_config_common_properties tests ( #31359 )
...
Remove empty tests
2024-06-14 20:15:48 +01:00
Yoach Lacombe
7e1c7dc8b6
Fix SpeechT5 decoder_attention_mask shape ( #28071 )
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* Fix SpeechT5
* add test foward with labels and attention mask
* make style
2024-06-14 15:20:11 +02:00
Yoach Lacombe
d9daeff297
Set seed for M4T retain grad test ( #31419 )
2024-06-14 14:48:04 +02:00
Pablo Montalvo
c624d5ba0b
add initial design for uniform processors + align model ( #31197 )
...
* add initial design for uniform processors + align model
* fix mutable default 👀
* add configuration test
* handle structured kwargs w defaults + add test
* protect torch-specific test
* fix style
* fix
* fix assertEqual
* move kwargs merging to processing common
* rework kwargs for type hinting
* just get Unpack from extensions
* run-slow[align]
* handle kwargs passed as nested dict
* add from_pretrained test for nested kwargs handling
* [run-slow]align
* update documentation + imports
* update audio inputs
* protect audio types, silly
* try removing imports
* make things simpler
* simplerer
* move out kwargs test to common mixin
* [run-slow]align
* skip tests for old processors
* [run-slow]align, clip
* !$#@!! protect imports, darn it
* [run-slow]align, clip
* [run-slow]align, clip
* update doc
* improve documentation for default values
* add model_max_length testing
This parameter depends on tokenizers received.
* Raise if kwargs are specified in two places
* fix
* expand VideoInput
* fix
* fix style
* remove defaults values
* add comment to indicate documentation on adding kwargs
* protect imports
* [run-slow]align
* fix
* remove set() that breaks ordering
* test more
* removed unused func
* [run-slow]align
2024-06-13 16:27:16 +02:00
amyeroberts
f53fe35b29
Fast image processor ( #28847 )
...
* Draft fast image processors
* Draft working fast version
* py3.8 compatible cache
* Enable loading fast image processors through auto
* Tidy up; rescale behaviour based on input type
* Enable tests for fast image processors
* Smarter rescaling
* Don't default to Fast
* Safer imports
* Add necessary Pillow requirement
* Woops
* Add AutoImageProcessor test
* Fix up
* Fix test for imagegpt
* Fix test
* Review comments
* Add warning for TF and JAX input types
* Rearrange
* Return transforms
* NumpyToTensor transformation
* Rebase - include changes from upstream in ImageProcessingMixin
* Safe typing
* Fix up
* convert mean/std to tesnor to rescale
* Don't store transforms in state
* Fix up
* Update src/transformers/image_processing_utils_fast.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Warn if fast image processor available
* Update src/transformers/models/vit/image_processing_vit_fast.py
* Transpose incoming numpy images to be in CHW format
* Update mapping names based on packages, auto set fast to None
* Fix up
* Fix
* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test
* Update src/transformers/models/vit/image_processing_vit_fast.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Add equivalence and speed tests
* Fix up
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
2024-06-11 15:47:38 +01:00
amyeroberts
a4e1a1d028
🚨 FLAVA: Remove double softmax ( #31322 )
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Remove double softmax
2024-06-10 15:01:27 +01:00
Yih-Dar
8fff07ded0
Fix Cohere CI ( #31263 )
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* [run-slow] cohere
* [run-slow] cohere
* [run-slow] cohere
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-06-10 15:16:58 +02:00
Pavel Iakubovskii
517df566f5
Decorators for deprecation and named arguments validation ( #30799 )
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* Fix do_reduce_labels for maskformer image processor
* Deprecate reduce_labels in favor to do_reduce_labels
* Deprecate reduce_labels in favor to do_reduce_labels (segformer)
* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)
* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)
* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)
* Fix typo
* Update mask2former test
* fixup
* Update segmentation examples
* Update docs
* Fixup
* Imports fixup
* Add deprecation decorator draft
* Add deprecation decorator
* Fixup
* Add deprecate_kwarg decorator
* Validate kwargs decorator
* Kwargs validation (beit)
* fixup
* Kwargs validation (mask2former)
* Kwargs validation (maskformer)
* Kwargs validation (oneformer)
* Kwargs validation (segformer)
* Better message
* Fix oneformer processor save-load test
* Update src/transformers/utils/deprecation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* Better handle classmethod warning
* Fix typo, remove warn
* Add header
* Docs and `additional_message`
* Move to filter decorator ot generic
* Proper deprecation for semantic segm scripts
* Add to __init__ and update import
* Basic tests for filter decorator
* Fix doc
* Override `to_dict()` to pop depracated `_max_size`
* Pop unused parameters
* Fix trailing whitespace
* Add test for deprecation
* Add deprecation warning control parameter
* Update generic test
* Fixup deprecation tests
* Introduce init service kwargs
* Revert popping unused params
* Revert oneformer test
* Allow "metadata" to pass
* Better docs
* Fix test
* Add notion in docstring
* Fix notification for both names
* Add func name to warning message
* Fixup
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
2024-06-10 12:35:10 +01:00
Pablo Montalvo
6b11f89c6b
Fix paligemma inverted mask ( #31207 )
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* pass inverted causal mask
* add sanity check for paligemma finetuning
* [run-slow]paligemma
2024-06-10 11:22:39 +02:00
amyeroberts
25245ec26d
Rename test_model_common_attributes -> test_model_get_set_embeddings ( #31321 )
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* 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
2024-06-07 19:40:26 +01:00
BHUVAN M
3b9174f248
interpolation added for TVP. ( #30863 )
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* Update TVP model to interpolate pre-trained image pad prompter encodings
* feat: Add 2D positional embeddings interpolation in TvpVisualInputEmbedding
* added required comments
* Update TVP model to interpolate pre-trained image pad prompter encodings
* feat: Add 2D positional embeddings interpolation in TvpVisualInputEmbedding
* added required comments
* docstring and argument fix
* doc fixes and test case fix suggested in review.
* varibale typo fix
* styling and name fixes for padding interpolation flag.
2024-06-07 18:44:16 +01:00
Matt
065729a692
Remove ConversationalPipeline and Conversation object ( #31165 )
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* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal
* Update not-doctested.txt
* Fix JA and ZH docs
* Fix JA and ZH docs some more
* Fix JA and ZH docs some more
2024-06-07 17:50:18 +01:00
Cyril Vallez
8bcf9c8dd4
Fix jetmoe model ( #31279 )
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* Fix jetmoe model
* Remove skip-tests
2024-06-07 11:51:41 +02:00
amyeroberts
bdf36dcd48
Enable HF pretrained backbones ( #31145 )
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* Enable load HF or tim backbone checkpoints
* Fix up
* Fix test - pass in proper out_indices
* Update docs
* Fix tvp tests
* Fix doc examples
* Fix doc examples
* Try to resolve DPT backbone param init
* Don't conditionally set to None
* Add condition based on whether backbone is defined
* Address review comments
2024-06-06 22:02:38 +01:00
amyeroberts
c53fcd8381
Mark MobileNetV1ModelTest::test_batching_equivalence as flaky ( #31258 )
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* Mark MobileNetV1ModelTest::test_batching_equivalence as flaky
* Add link to issue
* woops
2024-06-06 14:47:58 +01:00
Omar Salman
681183974a
Enable dynamic resolution input for Beit ( #31053 )
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* Initial attempt
* Updates: PR suggestions
* Interpolate the relative position bias when interpolate_pos_encoding is True
* Add slow tag for the added tests
* Add in DATA2VEC_VISION_INPUTS_DOCSTRING
2024-06-06 14:47:41 +01:00
