Add Qwen2.5-Omni (#36752)

* Add qwen2.5-omni

* Remove einops dependency

* Add torchdiffeq dependency

* Sort init

* Add torchdiffeq to extras['diffeq']

* Fix repo consistency

* use cached_file

* del odeint

* renew pytest

* format

* Remove torchdiffeq

* format

* fixed batch infer bug

* Change positional_embedding to parameter

* Change default speaker

* Config revision

* Use modular & code clean

* code clean

* decouple padding with model & code cleaning

* sort init

* fix

* fix

* Second code review

* fix

* fix

* rename vars to full name + some comments

* update pytest

* Code clean & fix

* fix

* style

* more clean up

* fixup

* smaller vision model in tests

* fix processor test

* deflake a bit the tests (still flaky though)

* de-flake tests finally + add generation mixin

* final nits i hope

* make sure processor tests are complete

* replace with Qwen2_5OmniForConditionalGeneration

* fix tests after updating ckpt

* fix typos when cleaning, also we can't change ckpt

* fixup

* images and videos kwargs for processor

* thinker and talker loadable from hub ckpt

* address comments and update tests after rebase

* fixup

* skip for now

* fixup

* fixup

* remove torch dependency in processors

---------

Co-authored-by: lvyuanjun.lyj <lvyuanjun.lyj@alibaba-inc.con>
Co-authored-by: feizi.wx <feizi.wx@alibaba-inc.com>
Co-authored-by: raushan <raushan@huggingface.co>

tests/generation/test_utils.py

@@ -129,6 +129,7 @@ VLM_CLASS_NAMES = [
     "gemma3",
     "mistral3",
     "chameleon",
+    "qwen2_5_omni",
 ]