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1197 Commits

Author SHA1 Message Date
Younes Belkada
3264be4114 TST: Fix instruct-blip tests (#31088) 
* fix flan t5 tests

* better format
 2024-05-28 18:29:11 +02:00
Yih-Dar
3af7bf30ad skip test_multi_gpu_data_parallel_forward for vit and deit (#31086) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-28 17:44:52 +02:00
Lysandre Debut
a3c7b59e31 Fix failing tokenizer tests (#31083) 
* Fix failing tokenizer tests

* Use small tokenizer

* Fix remaining reference
 2024-05-28 13:34:23 +02:00
Pavel Iakubovskii
98e2d48e9a Fix OWLv2 post_process_object_detection for multiple images (#31082) 
* Add test for multiple images

* [run slow] owlv2

* Fix box rescaling

* [run slow] owlv2
 2024-05-28 12:06:06 +01:00
Yih-Dar
8e3b1fef97 Remove ninja from docker image build (#31080) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-28 11:36:26 +02:00
Yih-Dar
9d35edbb30 skip test_model_parallelism for 2 model test classes (#31067) 
skip

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-27 18:36:39 +02:00
Yoach Lacombe
d355741eca Fix pad_to_max_length Whisper (#30787) 
* fix pad_to_max_length Whisper

* add tests

* make style
 2024-05-27 16:09:05 +02:00
Ita Zaporozhets
deba7655e6 Add split special tokens (#30772) 
* seems like `split_special_tokens` is used here

* split special token

* add new line at end of file

* moving split special token test to common tests

* added assertions

* test

* fixup

* add co-author

* passing rest of args to gptsan_japanese, fixing tests

* removing direct comparison of fast and slow models

* adding test support for UDOP and LayoutXLM

* ruff fix

* readd check if slow tokenizer

* modify test to handle bos tokens

* removing commented function

* trigger build

* applying review feedback - updated docstrings, var names, and simplified tests

* ruff fixes

* Update tests/test_tokenization_common.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* applying feedback, comments

* shutil temp directory fix

---------

Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
Co-authored-by: itazap <itazap@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MacBook-Pro.local>
 2024-05-24 08:38:58 -07:00
BHUVAN M
e5103a76cc added interpolation for vitmae model in pytorch as well as tf. (#30732) 
* added interpolation for vitmae model in pytorch as well as tf.

* Update modeling_vit_mae.py

irreugalr import fixed

* small changes and proper formatting

* changes suggested in review.

* modified decoder interpolate_func

* arguments and docstring fix

* Apply suggestions from code review

doc fixes

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-24 16:20:09 +01:00
Yixiang Gao
42d8dd8716 Perceiver interpolate position embedding (#30979) 
* add test that currently fails

* test passed

* all perceiver passed

* fixup, style, quality, repo-consistency, all passed

* Apply suggestions from code review: default to False + compute sqrt once only

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix a minor bracket

* replace dim with self._num_channels

* add arguments to the rest preprocessors

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-24 11:13:58 +01:00
Ita Zaporozhets
7f6e87413f add prefix space ignored in llama #29625 (#30964) 
* add prefix space ignored in llama #29625

* adding test with add_prefix_space=False

* ruff

---------

Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
 2024-05-24 01:03:00 -07:00
Yasmin Moslem
6d3d5b1039 Remove deprecated properties in tokenization_nllb.py and tokenization_nllb_fast.py (#29834) 
* Fix typo in tokenization_nllb.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Fix typo in tokenization_nllb_fast.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Remove deprecated attributes in tokenization_nllb.py

Remove deprecated attributes: `lang_code_to_id`, `fairseq_tokens_to_ids`, `id_to_lang_code`, and `fairseq_ids_to_tokens`

* Remove deprecated attribute in tokenization_nllb_fast.py

Remove deprecated attribute `lang_code_to_id`

* Remove deprecated properties in tokenization_nllb.py

Remove deprecated properties - fix format

* Remove deprecated properties in tokenization_nllb_fast.py

Remove deprecated properties - fix format

* Update test_tokenization_nllb.py

* update test_tokenization_nllb.py

* Update tokenization_nllb.py

* Update test_tokenization_seamless_m4t.py

* Update test_tokenization_seamless_m4t.py
 2024-05-23 18:53:26 +02:00
Aritra Roy Gosthipaty
965e98dc54 [Port] TensorFlow implementation of Mistral (#29708) 
* chore: initial commit

* chore: adding imports and inits

* chore: adding the causal and classification code

* chore: adding names to the layers

* chore: using single self attn layer

* chore: built the model and layers

* chore: start with testing

* chore: docstring change, transpose fix

* fix: rotary embedding

* chore: adding cache implementation

* remove unused torch

* chore: fixing the indexing issue

* make fix-copies

* Use modeling_tf_utils.keras

* make fixup

* chore: fixing tests

* chore: adding past key value logic

* chore: adding multi label classfication test

* fix: switching on the built parameters in the layers

* fixing repo consistency

* ruff formats

* style changes

* fix: tf and pt equivalence

* removing returns from docstrings

* fix docstrings

* fix docstrings

* removing todos

* fix copies

* fix docstring

* fix docstring

* chore: using easier rotate_half

* adding integration tests

* chore: addressing review related to rotary embedding layer

* review changes

* [run-slow] mistral

* skip: test save load after resize token embedding

* style

---------

Co-authored-by: Matt <rocketknight1@gmail.com>
 2024-05-23 17:48:49 +01:00
Yih-Dar
2a89673fe5 Update 4 MptIntegrationTests expected outputs (#30989) 
* fix

* fix

* fix

* fix

* fix

* [run-slow] mpt

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-23 18:27:54 +02:00
Fanli Lin
21339a5213 [tests] add torch.use_deterministic_algorithms for XPU (#30774) 
* add xpu check

* add marker

* add documentation

* update doc

* fix ci

* remove from global init

* fix
 2024-05-23 16:53:07 +01:00
Marc Sun
8366b57241 Fix accelerate failing tests (#30836) 
* Fix accelerate tests

* fix clip

* skip dbrx tests

* fix GPTSan

* fix M2M100Model

* same fix as jamba

* fix mt5

* Fix T5Model

* Fix umt5 model

* fix switch_transformers

* fix whisper

* fix gptsan again

* fix siglip recent test

* skip siglip tests

* wrong place fixed
 2024-05-23 17:18:58 +02:00
Pablo Montalvo
a25f7d3c12 Paligemma causal attention mask (#30967) 
* PaliGemma working causal attention

* Formatting

* Style

* Docstrings + remove commented code

* Update docstring for PaliGemma Config

* PaliGemma - add separator ind to model/labels

* Refactor + docstring paligemma processor method

* Style

* return token type ids when tokenizing labels

* use token type ids when building causal mask

* add token type ids to tester

* remove separator from config

* fix style

* don't ignore separator

* add processor documentation

* simplify tokenization

* fix causal mask

* style

* fix label propagation, revert suffix naming

* fix style

* fix labels tokenization

* [run-slow]paligemma

* add eos if suffixes are present

* [run-slow]paligemma

* [run-slow]paligemma

* add misssing tokens to fast version

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix style

* [run-slow]paligemma

---------

Co-authored-by: Peter Robicheaux <peter@roboflow.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
 2024-05-22 19:37:15 +02:00
amyeroberts
dff54ad2d9 🚨 out_indices always a list (#30941) 
* out_indices always a list

* Update src/transformers/utils/backbone_utils.py

* Update src/transformers/utils/backbone_utils.py

* Move type casting

* nit
 2024-05-22 15:23:04 +01:00
Pablo Montalvo
250ae9f746 Paligemma - fix slow tests, add bf16 and f16 slow tests (#30851) 
* fix slow tests, add bf16 and f16 slow tests

* few fixes

* [run-slow]paligemma

* add gate decorator

* [run-slow]paligemma

* add missing gating

* [run-slow]paligemma

* [run-slow]paligemma
 2024-05-22 16:20:07 +02:00
Arthur
673440d073 update ruff version (#30932) 
* update ruff version

* fix research projects

* Empty

* Fix errors

---------

Co-authored-by: Lysandre <lysandre@huggingface.co>
 2024-05-22 06:40:15 +02:00
Mohit Sharma
7a4792e6b3 CI: AMD MI300 tests fix (#30797) 
* add fix

* update import

* updated dicts and comments

* remove prints

* Update testing_utils.py
 2024-05-21 12:46:07 +01:00
Younes Belkada
c876d12127 FIX / TST: Fix expected results on Mistral slow test (A10) (#30909) 
Update test_modeling_mistral.py
 2024-05-21 09:14:14 +02:00
Longjie Zheng
616bb11d48 Add torch.compile for Mistral (#30642) 
* first version

* fix sliding window

* fix style

* add sliding window cache

* fix style

* address comments

* fix test

* fix style

* move sliding window check inside cache init

* revert changes on irrelevant files & add comment on SlidingWindowCache

* address comments & fix style

fix style

* update causal mask

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] llama

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* revert CI from a10 to t4

* wrap up
 2024-05-20 16:27:24 +02:00
Yoach Lacombe
e6708709cb Add AutoFeatureExtractor support to Wav2Vec2ProcessorWithLM (#28706) 
* Add AutoFeatureExtractor support to Wav2Vec2ProcessorWithLM

* update with a type filter

* add raises error test

* fix added test
 2024-05-20 13:40:42 +02:00
Kamil Akesbi
1c2bb3ac54 add return_token_timestamps to WhisperProcessor (#30812) 
* compute num_frames in WhisperFeatureExtractor

* add return_num_frames in WhisperFeatureProcessor + adapt pipeline

* return_timestamps renaming + pipeline fix

* fix

* fix

* fix

* add tests

* Update src/transformers/models/whisper/feature_extraction_whisper.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review changes

* fix

* Update src/transformers/models/whisper/feature_extraction_whisper.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/models/whisper/test_modeling_whisper.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

* fix

* review changes

* Update src/transformers/models/whisper/feature_extraction_whisper.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style quality

* EXPECTED_OUTPUT in single line

* small numpy->torch fix

* fix

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-20 09:53:58 +01:00
Raushan Turganbay
5d0bf59b4d LLaVa-Next: Update docs with batched inference (#30857) 
* update docs with batch ex

* Update docs/source/en/model_doc/llava_next.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* accept nested list of img

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
 2024-05-20 13:45:56 +05:00
Joseph Enguehard
07bf2dff78 Add TokenClassification for Mistral, Mixtral and Qwen2 (#29878) 
* Add MistralForTokenClassification

* Add tests and docs

* Add token classification for Mixtral and Qwen2

* Save llma for token classification draft

* Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2

* Formatting

* Add token classification support for Qwen2Moe model

* Add dropout layer to each ForTokenClassification model

* Add copied from in tests

* Update src/transformers/models/llama/modeling_llama.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Propagate suggested changes

* Style

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
 2024-05-20 10:06:57 +02:00
Abhiroop Tejomay
481a957814 Enable dynamic resolution input for Swin Transformer and variants (#30656) 
* add interpolation of positional encoding support to swin

* add style changes

* use default image processor and make size a dictionary

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove logits testing

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Refactor image size validation logic when interpolation is disabled

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove asserts in modeling

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add dynamic resolution input support to swinv2

* change size to ensure interpolation encoding path is triggered

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

* add dynamic resolution input to donut swin

* add dynamic resolution input to maskformer swin

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-17 18:38:46 +01:00
Pavel Iakubovskii
bf646fbf2d Add fixed resize and pad strategy for object detection (#30742) 
* Add resize and pad strategy

* Merge get_size functions

* Add pad_size + tests to object detection models

* Fixup

* Update docstrings

* Fixup
 2024-05-17 16:21:26 +01:00
Arthur
0a9300f474 Support arbitrary processor (#30875) 
* Support arbitrary processor

* fix

* nit

* update

* nit

* nit

* fix and revert

* add a small test

* better check

* fixup

* bug so let's just use class for now

* oups

* .
 2024-05-17 16:51:31 +02:00
Younes Belkada
3d7d3a87a0 TEST: Add llama logits tests (#30835) 
* add llama logits test

* fix

* fix tests
"

"

* fix for a10

* format

* format

* fix

* [run-slow] remove fmt: skip

* Your commit message

* test commit

* Revert "test commit"

This reverts commit b66e01e55f5e31d4c0479cac4bcacc0f123dc9d2.

* [run-slow]llama

* Update tests/models/llama/test_modeling_llama.py

* [run-slow]llama

* empty commit
 2024-05-17 12:23:00 +02:00
Yih-Dar
1b3dba9417 Make Gemma work with torch.compile (#30775) 
* fix

* [run-slow] gemma

* add test

* add `test_compile_static_cache`

* fix

* style

* remove subprocess

* use attribute

* fix

* style

* update

* [run-slow] dbrx,gemma,jetmoe,phi3,recurrent_gemma

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-16 13:41:33 +02:00
hyenal
1c21f48a50 add sdpa to ViT [follow up of #29325] (#30555) 
remove blank line (+1 squashed commit)
Squashed commits:
[24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits)
Squashed commits:
[08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder
[ec96a8db3] [run-slow]vit_msn
[ead817eca] fix vit msn multi gpu
[d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[3fdbfa88f] doc
[a3ff33e4a] finish implementation
[e20b7b7fb] Update test_modeling_common.py
[e290c5810] Update test_modeling_flax_common.py
[d3af86f46] comment
[ff7dd32d8] more comments
[59b137889] suggestion
[7e2ba6d67] attn_implementation as attribute of the class
[fe66ab71f] minor
[38642b568] Apply suggestions from code review

Accept comments

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[22cde7d52] Update tests/test_modeling_common.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[48e137cc6] Update tests/test_modeling_common.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[99f4c679f] Update tests/test_modeling_common.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[96cf20a6d] Update src/transformers/models/vit_msn/modeling_vit_msn.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[c59377d23] Update src/transformers/models/vit_mae/modeling_vit_mae.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[b70a47259] Update tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[00c84d216] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[61f00ebb0] all tests are passing locally
[e9e0b82b7] vision encoder/decoder
[4d5076b56] test-vision (+20 squashed commits)
Squashed commits:
[d1add8db9] yolo
[9fde65716] fix flax
[986566c28] minor
[ca2f21d1f] vit
[3333efd7a] easy models change
[ebfc21402] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[b8b8603ed] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[48ecc7e26] all tests are passing locally
[bff7fc366] minor
[62f88306f] fix yolo and text_encoder tests
[121507555] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1064cae0a] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[b7f52ff3a] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[cffaa10dd] fix-copies
[ef6c511c4] test vit hybrid
[7d4ba8644] vit hybrid
[66f919033] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1fcc0a031] fixes
[cfde6eb21] fixup
[e77df1ed3] all except yolo end encoder decoder (+17 squashed commits)
Squashed commits:
[602913e22] vit + vit_mae are working
[547f6c4cc] RUN_SLOW=1 pytest tests/models/audio_spectrogram_transformer/ tests/models/deit/ tests/models/videomae/  passes
[61a97dfa9] it s the complete opposite...
[aefab37d4] fix more tests
[71802a1b9] fix all torch tests
[40b12eb58] encoder - decoder tests
[941552b69] slow decorator where appropriate
[14d055d80] has_attentions to yolo and msn
[3381fa19f] add correct name
[e261316a7] repo consistency
[31c6d0c08] fixup
[9d214276c] minor fix
[11ed2e1b7] chore
[eca6644c4] add sdpa to vit-based models
[cffbf390b] make fix-copies result
[6468319b0] fix style
[d324cd02a] add sdpa for vit

Co-authored-by: Liubov Yaronskaya <luba.yaronskaya@gmail.com>
 2024-05-16 10:56:11 +01:00
Xuan-Phi Nguyen
5ca085b882 Better llava next. (#29850) 
* Better llava next.
- Batched forward with multiple image of different sizes (number of patches).
- Support training, for cases without any image.
- Support multi-image in same sequence. e.g: ["<image> <image> the first image is a dog while the second is a cat", "<image> <image> <image> <image> these 4 image are..."]

Current limitation:
- Haven't done testing
- Only support right padding (for training)
- left padding (batched generation) is not ready yet.
- PR not ready.

* fix bugs in batched generation

* add tests

* fix batch-gen bugs, left-padding positions and incorrect attention mask

* remove better modeling llava

* fix formatting

* fix test

* fix test

* fix testing

* fix test

* fix formatting

* Update src/transformers/models/llava_next/modeling_llava_next.py

add clarity

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update modeling_llava_next.py

remove assert

* fix bug modeling_llava_next.py

* update modeling

* fix bugs

* fix format

* fix error

* fix new_token_positions

* Update modeling_llava_next.py

* update formatting

* add args

* removecomments

* add slow tests for batched inference

* failing tf/flax tests

* this one ic correct

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix docs

* make fixup

* more fixup

* add test for batch equivalence

* Update tests/models/llava_next/test_modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/image_processing_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/image_processing_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llava_next/modeling_llava_next.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* pr comments

* hardcode padding side for bs=1

* update

* [run-slow] llava_next

* [run-slow] llava_next

* make fix-copies

---------

Co-authored-by: NGUYEN, Xuan Phi <x.nguyen@alibaba-inc.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>
 2024-05-15 19:02:56 +05:00
amyeroberts
64c06df325 Jamba - Skip 4d custom attention mask test (#30826) 
* Jamba - Skip 4d custom attention mask test

* Skip assistant greedy test
 2024-05-15 13:57:28 +01:00
Raushan Turganbay
bd9f4d7951 Add Video Llava (#29733) 
* add model draft

* update docstring

* add tests

* support image and video as input

* update for better handling of mixed input and clean-up a bit

* bug when mixed inputs & add tests

* Update README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Merge remote-tracking branch 'upstream/main' into video_llava

* link to abstract of paper in README

* fix test

* fix-copies

* make tests happy

* skip docstest for now

* do not run doctest for now

* Update src/transformers/models/video_llava/processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/image_processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/image_processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/image_processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/image_processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/video_llava/test_modeling_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/image_processing_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* address review comments

* failing tests

* Fix vocab_size in common tests for VLMs

* codestyle

* Update src/transformers/models/video_llava/configuration_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/configuration_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/modeling_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/modeling_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/video_llava.md

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* Update docs/source/en/model_doc/video_llava.md

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* Update src/transformers/models/video_llava/image_processing_video_llava.py

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* Update docs/source/en/model_doc/video_llava.md

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* Update src/transformers/models/video_llava/processing_video_llava.py

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* Update tests/models/video_llava/test_modeling_video_llava.py

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* Update tests/models/video_llava/test_modeling_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/video_llava/test_modeling_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* PR suggestions

* fix-copies

* Update src/transformers/models/video_llava/configuration_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/video_llava/configuration_video_llava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add full example in docs

* clean-up with new model-id

* [run-slow] video_llava

* update docstring

* [run-slow] video_llava

* remove all achive maps

* fix some tests

* test was supposed to be skipped for llava :)

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-15 16:42:29 +05:00
Ondřej Cífka
be3aa43e5f Support mixed-language batches in WhisperGenerationMixin (#29688) 
* 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>
 2024-05-15 09:53:17 +02:00
Pablo Montalvo
1360801a69 Add PaliGemma (#30814) 
* add new model like

* add state dict slicing + new model config

* update palma config and weights, passes vision activations

* fix

* update

* reorder loading/unpacking

* clean up

* add debug statements

* change device

* fix

* debugging

* fix noncausal mask

* fixup sdpa + causal mask

* fix activation function

* remove debug before changing modeling file

* add variants

* debug attention mask in generate

* revert to non-debug sdpa

* revert gemma modifications

* add custom language modeling

* use Processor

* add language modeling file to init

* try thin wrapper around generate

* Update

* update mask

* breakpoints galore

* remove conflict

* switch to left-padding

* add incomplete model doc

* add paligemma global files

* batch rename paligemma

* make generation match outputs and captioning

* style

* style

* remove copied from + doc

* remove more copied from

* remove copy from projector

* minor fix

* update config and style

* add readme - dummy

* CORRECT image captioning

* moving to args

* add siglip proper + fix merging image + text features

* take update_causal_mask from upstream

* remove breakpoint

* leverage AutoModel

* fix input_ids slicing

* make siglip head conditional

* remove encoder_decoder value

* remove unneeded modeling file

* add commented 4d attention mask

* FIXED generation with 4D mask

* Update src/transformers/models/siglip/modeling_siglip.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix left padding detection

* shuffle order of verifications

* fix missing labels for training

* fix

* vectorize merging of features, improve slicing

* improve testing before conversion

* handle merging in processor

* image token index depends on checkpoint

* add variants, save processor too

* save processors, base tokenizer off spm file

* expand model embeddings due to additional image token

* pass image processing args

* add convert rgb to siglip processor

* add \n token separately

* fix tokenizer and prompts

* fix docstrings

* change to camel

* fix casing

* debug pos_ids and sdpa

* pass and use cache_position

* add flag for newline tokenization

* Update src/transformers/models/paligemma/processing_paligemma.py

Co-authored-by: Merve Noyan <merveenoyan@gmail.com>

* simplify conversion script

* add copied from

* add precision to conversion script

* Update src/transformers/models/paligemma/modeling_paligemma.py

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* clean up

* Shift attention mask from `1:`

After discussion with @molbap

* add docs, fix quality

* quality, tied weights inheritance, and logits/label alignment

* fix more tests

* pass attn_implementation to language model correctly

* add SiglipVisionTransformer to no split modules

* skip paligemma test for sdpa dispatch to flash

* skip incompatible tests

* quality

* [broken archive maps]

* Apply suggestions

- remove archive lists
- style
- take shape of inputs_embeds for batch

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/utils/dummy_pt_objects.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* simplify conversion script

* add suggestions

* add suggestions

* add copied from

* fix

* move labels out

* revert

* fix

* remove placeholder labels if None

* use cache_position

* fix quality + docstrings

* fix quality

* fix paligemma 4d gemma mask incompatibility

* fix config docstring

* fix query and attn_mask dtype

---------

Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
 2024-05-14 22:07:15 +02:00
Yikang Shen
ccdabc5642 Add JetMoE model (#30005) 
* init jetmoe code

* update archive maps

* remove flax import

* fix import error

* update README

* ruff fix

* update readme

* fix

* update config

* fix issue

* merge files

* fix model bug

* fix test

* auto fix

* model size

* add comments

* fix form

* add flash attention support

* fix attention head number

* fix init

* fix support list

* sort auto mapping

* fix test

* fix docs

* update test

* fix test

* fix test

* change variable name

* fix config

* fix init

* update format

* clean code

* fix config

* fix config

* change default config

* update config

* fix issues

* update formate

* update config argument

* update format

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* change to mixtral aux loss

* change to cache_position

* debug

* fix bugs

* debug

* fix format

* fix format

* fix copy

* fix format

* fix format

* fix sort

* fix sort

* fix sort

* add copy comment

* add copy from

* remove debug code

* revert readme update

* add copy

* debug

* remove debug code

* fix flash attention

* add comments

* clean code

* clean format

* fix format

* fix format

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* change variable name

* add copied from

* fix variable name

* remove deprecated functinos

* sync to llama implementation

* fix format

* fix copy

* fix format

* update format

* remove repr

* add comment for moe weight

* fix copy

* Update src/transformers/models/jetmoe/configuration_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* add comments and reformat config

* fix format

* fix format

* fix format

* update test

* update doc string in config

* Update src/transformers/models/jetmoe/modeling_jetmoe.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* update config doc

* update attention cache

* fix format

* fix copy

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
 2024-05-14 16:32:01 +02:00
Alazar
94306352f4 Port IDEFICS to tensorflow (#26870) 
* Initial commit

* Just a copy of modeling_idefics.py that will be ported to TF

* - Prepend TF to the name of all classes
- Convert pytorch ops to TF (not all operations are converted yet)

* Add TF imports

* Add autotranslated files

* Add TF classes to model_tf_auto.py

* Add the TF classes in model_doc

* include auto-translated code

* Adopted from auto-translated version

* Add a forgotten super().build

* Add test code for TF version.

* Fix indentation and load pytorch weights for now

* Some fixes. Many tests are still failing but some are passing now.

- I have added TODO's for some of the hacks I made to unblock me
  and I will address them soon
- I have the processing_idefics.py hacked in my view to support TF temporarily

* Add ALL_LAYERNORM_LAYERS to match pytorch

* Revert "Add ALL_LAYERNORM_LAYERS to match pytorch"

This reverts commit 7e0a35119b4d7a6284d04d8c543fba1b29e573c9 as it
is not needed in the tf implementation.

* Fix freeze_relevant_params()

* Some more fixes

* Fix test_attention_outputs

* Add tf stuff to processing_idefics.py

processing_idefics.py supports both pytorch and tf now.

test_processor_idefics.py for pytorch is passing, so i didn't break anything
but still some issues with tf. I also need to add tf tests in
test_processor_idefics.py.

* Pass return_tensors to image processing code and fix test

* Pass return_tensors to the image processor __init__

* Fix several test cases

- Make input to some of the forward pass of type `TFModelInputType`
- Decorate main layer forward pass with `@unpack_inputs`
- Decorate main layer with `@keras_serializable`
- Pass `inputs` to TFIdeficsModel

* Some more fixes forgotten in last commit

* Fix processing code and vision_tf.py

* Fix perceiver bug

* Import from

* Auto-add build() methods + style pass

* Fix build() errors due to `None` being passed as shape to some layers

* Change name in TFIdeficsForVisionText2Text to attribute in IdeficsForVisionText2Text

* Fix pytorch weights load for tf2

There were a lot of `name=` missing in weight initialization code.

* Attempt to fix CI

* Add back accidently removed line

* Remove torch-specific stuff from the TF test file

* make fix-copies, make style, remove autotranslated files

* Fixes to imports/docstrings

* Let's try the from future import in desperation

* Fix the core random_attention_mask fn to match the torch/flax behaviour

* Clean random_attention_mask up correctly

* Remove torch-only test

* Fix loss shape, couple of nits

* make style

* Don't test for OOB embeddings because IDEFICS uses those deliberately

* Fix loss computation to handle masking

* Fix test failures when flattening

* Fix some test failures

- Add cross attention gate which was missing and wasn't being passed arround
- Fix overwriting of image_attention_mask due to hack I had for dummy inputs

* Add a proper stateless scaled_dot_product_attention

* make style

* Adding missing attribute from the PyTorch version

* Small cleanups to decoupledlinearlayer in case that helps

* Pass epsilon to LayerNormalization

* Attemp to fix pytorch weight cross-loading for TFIdeficsEmbedding

* Fix a bug in TFIdeficsGatedCrossAttentionLayer

* Patching up build() methods

* Constant self.inv_freq

* Constant self.inv_freq

* First working version

The TF implementation works now, there was a bug in the TFIdeficsDecoupledLinear
where the weights were mis-intialized (in_features,out_features)
when it should be: (out_features, in_features)

I have tested this so far with tiny-random and idefics-9b-instruct
and gives correct output.

I also dumped the final outputs for both pytorch and TF
and they are identical.

* Fix some test failures

* remove print statement

* Fix return_tensors

* Fix CI test failure check_code_quality

* Attempt to fix CI failures by running `make fixup`

The hardcoded IDs in test_modeling_tf_idefics.py are for the integration
test and makes that file unreadable and should probably be moved to a seperate file.

* Attempt to fix tests_pr_documentation_tests

* Fix a test failure in test_image_processing_idefics.py

* Fix test test_pt_tf_model_equivalence

* Fix a few failures

* Tiny fix

* Some minor fixes

* Remove a duplicate test

* Override a few test failures for IDEFICS

- `test_keras_save_load` is passing now
- `test_compile_tf_model` is still failing

* Fix processing_idefics.py after rebase

* Guard import keras with is_tf_available

* fix check code quality

* fix check code quality

* Minor fixes

* Skip test_save_load temporarily

This test passed on my local box but fails on the CI, skipping
for now to see if there are other remaining failures on the CI.

* Run `ruff format tests src utils`

* Fix last failing test, `test_compile_tf_model`

* Add fixes for vision_tf.py

I forgot to add this file in last commit.

* Minor fixes

* Replace "<<<" with "<<" for doc tests

IDEFICS-9B is too big for doctest runner, so don't run it there

* Make code more readable

* Fix bug after code review

I added a layer_norm_eps to IdeficsConfig but I don't even need it
since the vision config has a layer_norm_eps.

* Fix after code review

Use original code tokenizer.convert_tokens_to_ids

* Keep PyTorch as the default return_tensors

* Fixes to modeling_tf after code review

* Fixes from code review

- Remove all references of `TF_IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST`
- Pass 1e-5 to LayerNormalization in perceiver

* Run ruff

* Undo a change

* Refactor processing code after Matt's suggestion

* Remove TODO's that aren't needed anymore

* For pytorch, Use original pytorch processing code from main

Since this PR is a TF port it shouldn't make any modifications
to pytorch IDEFICS code. This changes undo's the pytorch processing
modifications I made and uses original code from main.

* Update tests/models/idefics/test_modeling_idefics.py

* Update tests/models/idefics/test_modeling_tf_idefics.py

* Add missing imports for is_pt_tf_cross_test

* [DO NOT MERGE]: This is a commit for debugging and will be reverted

The cross test `test_pt_tf_model_equivalence` passes locally but
fails when running on the CI. This commit is to help debug that
and will be reverted.

* Revert "[DO NOT MERGE]: This is a commit for debugging and will be reverted"

This reverts commit 8f0d709ec5bd46685fb0b4259d914ffee794875b.

* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted

* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted

* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"

This reverts commit 998cc38b8c3d313bf5e5eb55a7f5b7b881897b89.

* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"

This reverts commit 1c695ac4219c4ae4d39b330b01744dc27deb7dd4.

* Don't skip test_save_load

IIRC test_save_load was also failing on the CI but not on my local
box, it might be easier to debug that on the CI first than the cross tests

* Debugging commit, will be reverted

* Revert "Debugging commit, will be reverted"

This reverts commit 8eafc8e41e20c4e95a3a90834f06a6e9f445e2d5.

* Override `test_save_load` and push model to save

Maybe this will help me repro this weird bug

* pass my repo_id

* add endpoint

* Pass a temp (write) token just for this CI

* Undo last few commits, still pushing to hub for model debugging

The issue seems to be with save_pretrained(),  when I looked at the model saved
from the CI test failure it is basically empty and has no weights.
`self.save_weights(..)` seems to be failing in save_pretrained but needs
more debugging

* Add logging to modeling tf utils, will be reverted just for debugging

* Debugging, will revert

* Revert "Debugging, will revert"

This reverts commit 9d0d3075fb7c82d8cde3a5c76bc8f3876c5c55d3.

* Revert "Add logging to modeling tf utils, will be reverted just for debugging"

This reverts commit 774b6b7b1c17b3ce5d7634ade768f2f686cee617.

* Remove `test_save_load`

The CI failures are gone after my latest rebase, no idea why
but I was still saving the model to my hub on HF and the tf_model.h5
file now has everything.

* Run make fix-copies

* Run ruff format tests src utils

* Debugging commit, will be reverted

* Run ruff, also trigger CI run

* Run ruff again

* Undo debugging commit

---------

Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
 2024-05-13 15:59:46 +01:00
Poedator
a0779b9e19 Llama: fix custom 4D masks, v2 (#30348) 
* 4d mask fixes

* Update custom 4D mask logic

* test moved to mixin

* extra tests 4d mask

* upd 4d mask and StaticCache handling

* added Mask4DTestHard to mistral tests

* post-rebase fixes

* test fixes for StaticCache

* make fix-copies

* upd 1 after #30476

* fix common tests

* rm elif attention_mask.dim() == 4:

* tests combined, fixed, mixtral supported

* bigbird style chg reverted

* rm if attention_mask.dim() == 2

* modeling_llama formatting chg

---------

Co-authored-by: Joao Gante <joao@huggingface.co>
 2024-05-13 13:46:06 +02:00
Nilabhra Roy Chowdhury
e52741f601 Support for Falcon2-11B (#30771) 
* remove unrelated changes

* remove unrelated changes on phi and stable LM

* add: Test for Falcon 10B

* fix: formatting

* fix: loading the falcon 10B in 8 bit precision using bitsanbytes.

* fix: device placement

* fix: broken tests.

* fix: backwards compatibility for falcon 1B architecture.

* chore: updated test.

* chore: test_modeling_falcon.py to use the 11B model.

* chore: minor edit

* chore: formating.

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Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
 2024-05-13 13:32:43 +02:00
Zafir Stojanovski
f63d822242 Blip dynamic input resolution (#30722) 
* blip with interpolated pos encoding

* feat: Add interpolate_pos_encoding option to other models from `BLIP` family.

* include check for textual generated content in tests
 2024-05-13 12:20:16 +01:00
Joao Gante
7130a22db9 Generate: consistently handle special tokens as tensors (#30624) 
* tmp commit

* [test_all] mvp

* missing not

* [test_all] final test fixes

* fix musicgen_melody and rag

* [test_all] empty commit

* PR comments

* Update src/transformers/generation/utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
 2024-05-09 18:01:57 +01:00
Jacky Lee
218f44135f Fix image post-processing for OWLv2 (#30686) 
* feat: add note about owlv2

* fix: post processing coordinates

* remove: workaround document

* fix: extra quotes

* update: owlv2 docstrings

* fix: copies check

* feat: add unit test for resize

* Update tests/models/owlv2/test_image_processor_owlv2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-09 17:02:03 +01:00
Lysandre Debut
297b732bdf Removal of deprecated maps (#30576) 
* [test_all] Remove all imports

Remove remaining ARCHIVE MAPS

Remove remaining PRETRAINED maps

* review comments

* [test_all] empty commit to trigger tests
 2024-05-09 14:15:56 +02:00
Jacky Lee
8c5b3c19cf Enable dynamic resolution for vivit (#30630) 
* feat: enable dynamic resolution for vivit

* fix: formatting

* remove: print statement for testing

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vivit/test_modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vivit/test_modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vivit/test_modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix: style check

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-09 11:23:39 +01:00
David Xue
60293bd210 Add dynamic resolution input/interpolate position embedding to SigLIP (#30719) 
* Add interpolate positional encoding to siglip

* Change # of patches for siglip interpolation test

* fix formatting

* Apply nit suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-09 11:10:38 +01:00
Joao Gante
f26e407370 Cache: models return input cache type (#30716) 2024-05-08 18:26:34 +01:00
JB (Don)
54a2361a29 Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True (#29024) 
* Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True

* Testing for the non-safe-tensors case, since the default is safe-tensors already

* Running fixup/fix-copies

* Adding accelerate annotations to tests
 2024-05-07 11:12:21 +02:00