Worked on enhancing the HunyuanVideoGP repository by developing comprehensive unit tests for the attention module, focusing on both multi-modal and single-stream block attention pathways. The approach involved validating the attention function and the xFuserLongContextAttention class across various configurations, with careful assertions on tensor shapes and numeric closeness to ensure correctness. Using Python and PyTorch, the work emphasized robust testing practices to strengthen distributed systems reliability. By expanding test coverage for critical attention mechanisms, the changes aimed to reduce the risk of regressions during model inference and improve confidence in continuous integration, supporting more reliable production deployments without addressing bug fixes.