[fix]fix unit_tests func name

[SangChengC]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @SangChengC, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a minor but important issue: a typographical error in the name of a unit test function. Correcting this ensures that the test is properly recognized and executed, maintaining the integrity of the test suite.

Highlights

• Bug Fix: Corrected a typo in the unit test function name test_mark_mubltimodal_obj to test_mark_multimodal_obj.

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[gemini-code-assist]

Code Review

This pull request correctly fixes a typo in a unit test function name, which is a good and necessary correction for code clarity. The change itself is perfect. I've added one review comment with a suggestion to improve the robustness of the test suite by explicitly marking tests that require a GPU. This will help prevent CI failures on environments that lack the necessary hardware.

[gemini-code-assist]

This test allocates tensors on cuda, indicating a dependency on a CUDA-enabled GPU. While this is expected for a test targeting a Triton kernel, it's a best practice to explicitly mark such tests. This allows test runners like pytest to automatically skip them on environments without a GPU, preventing the entire test suite from failing.

Consider adding a pytest.mark.skipif decorator to make the test suite more robust across different environments.

Example:

import pytest
import torch

@pytest.mark.skipif(not torch.cuda.is_available(), reason="This test requires a CUDA-enabled GPU")
def test_mark_multimodal_obj():
    # ... test implementation

Applying this pattern to all GPU-dependent tests would be a valuable improvement for the project's CI/CD pipeline and for developers working on non-GPU machines.