Repository: huggingface/transformers
Pull request: Add AMD expectations to Mistral3 tests

# What does this PR do?

This PR adds the correct expectations for AMD devices in the Mistral3 tests.

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] 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 @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 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

Integrations:

- deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @Rocketknight1
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

 -->


Changed files:
filename: tests/models/mistral3/test_modeling_mistral3.py
patch: @@ -317,6 +317,7 @@ def test_mistral3_integration_generate(self):
             {
                 ("xpu", 3): "The image features two cats resting on a pink blanket. The cat on the left is a kitten",
                 ("cuda", 8): 'The image features two cats lying on a pink surface, which appears to be a couch or a bed',
+                ("rocm", (9, 5)): "The image features two tabby cats lying on a pink surface, which appears to be a cushion or"
             }
         )  # fmt: skip
         expected_output = expected_outputs.get_expectation()
@@ -363,6 +364,7 @@ def test_mistral3_integration_batched_generate(self):
             {
                 ("xpu", 3): "Calm lake's mirror gleams,\nWhispering pines stand in silence,\nPath to peace begins.",
                 ("cuda", 8): "Wooden path to calm,\nReflections whisper secrets,\nNature's peace unfolds.",
+                ("rocm", (9, 5)): "Calm waters reflect\nWooden path to distant shore\nSilence in the scene"
             }
         )  # fmt: skip
         expected_output = expected_outputs.get_expectation()