Repository: huggingface/transformers
Pull request: Qwen2.5-Omni test fixes

# What does this PR do?

This PR makes the test suite for Qwen2.5-Omni green: updates output expectations and fixes the model parallel test.


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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      Pull Request section?
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- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

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 Please tag fewer than 3 people.

Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
- graph models: @clefourrier

Library:

- flax: @gante and @Rocketknight1
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @zach-huggingface, @SunMarc and @qgallouedec
- chat templates: @Rocketknight1

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- diffusers: [different repo](https://github.com/huggingface/diffusers)
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Changed files:
filename: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py
patch: @@ -260,6 +260,7 @@ class Qwen2_5OmniThinkerForConditionalGenerationModelTest(ModelTesterMixin, Gene
     test_pruning = False
     test_head_masking = False
     _is_composite = True
+    model_split_percents = [0.5, 0.9]
 
     def setUp(self):
         self.model_tester = Qwen2_5OmniThinkerForConditionalGenerationTester(self)
@@ -721,6 +722,10 @@ def test_small_model_integration_test_batch(self):
                     "system\nYou are a helpful assistant.\nuser\nWhat's that sound and what kind of dog is this?\nassistant\nThe sound is glass shattering, and the dog is a Labrador Retriever.",
                     "system\nYou are a helpful assistant.\nuser\nWhat's that sound and what kind of dog is this?\nassistant\nThe sound is glass shattering, and the dog is a Labrador Retriever.",
                 ],
+                ("rocm", None): [
+                    "system\nYou are a helpful assistant.\nuser\nWhat's that sound and what kind of dog is this?\nassistant\nThe sound is glass shattering, and the dog is a Labrador Retriever.",
+                    "system\nYou are a helpful assistant.\nuser\nWhat's that sound and what kind of dog is this?\nassistant\nThe sound is glass shattering, and the dog is a Labrador Retriever.",
+                ],
             }
         )  # fmt: skip
         EXPECTED_DECODED_TEXT = EXPECTED_DECODED_TEXTS.get_expectation()