
Contributed to the PaddlePaddle/Paddle repository by enhancing XPU kernel functionality and improving test coverage across hardware backends. Focused on adding support for the blha_get_max_len kernel and integrating it into the XPU3 operator list, ensuring seamless backend wiring and validation on both XPU and CUDA devices. Refactored the scalar power application in the PowKernel to optimize performance specifically for XPU, and enabled testing for the minimum int64 data type by removing a skip condition. Leveraged C++ and Python, along with skills in CI/CD and kernel development, to deliver more robust operator support and cross-backend consistency within the codebase.
January 2025 monthly summary for PaddlePaddle/Paddle focusing on XPU kernel work and test coverage improvements. Delivered key XPU kernel enhancements, refactored scalar power handling for XPU, and expanded validation to ensure reliable behavior across XPU and CUDA backends. The work improves cross-backend consistency, performance readiness on XPU devices, and broadened test coverage for critical data types.
January 2025 monthly summary for PaddlePaddle/Paddle focusing on XPU kernel work and test coverage improvements. Delivered key XPU kernel enhancements, refactored scalar power handling for XPU, and expanded validation to ensure reliable behavior across XPU and CUDA backends. The work improves cross-backend consistency, performance readiness on XPU devices, and broadened test coverage for critical data types.

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