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Summary of Changes

Hello @Jintao-Huang, 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 implements a bug fix within the Qwen template's video processing mechanism. The change introduces a type check to verify that the data returned by the fetch_video function is indeed a PyTorch tensor before proceeding with a type conversion to torch.uint8. This ensures that the system can gracefully handle cases where fetch_video might return different data types, thereby preventing errors and enhancing the stability of video handling for Qwen2.5/3-omni models.

Highlights

  • Bug Fix: Addressed a bug in the video processing logic for Qwen models, specifically ensuring that the output of fetch_video is a torch.Tensor before attempting to convert it to torch.uint8.
  • Robustness: Improved the robustness of video data handling by preventing potential runtime errors that could occur if fetch_video returns a non-tensor object.
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Code Review

This pull request addresses a bug in video processing within the Qwen2_5OmniTemplate (and by extension, Qwen3OmniTemplate). The original implementation incorrectly assumed fetch_video always returns a torch.Tensor, which would cause a crash if it returned a different type. The fix introduces a type check, ensuring .to(torch.uint8) is only called on tensor objects, thereby improving the robustness of the video handling logic. This change is a good improvement and makes the code safer.

@Jintao-Huang Jintao-Huang merged commit a423dac into modelscope:main Oct 14, 2025
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