December 2025: Delivered performance-oriented kernel and modularity improvements across the PaddlePaddle ecosystem, expanded graph extraction capabilities with TorchVision integration, and enhanced documentation quality. Key work focused on CUDA kernel enhancements for MoeCombine/MoeGate (including header-based kernel organization and gradient computation kernels), a header-based CUDA kernel registration refactor for PaddleCustomDevice, and GraphNet integration with TorchVision models wide_resnet50_2 and wide_resnet101_2. Documentation and doctest improvements were implemented to clarify examples, improve correctness, and standardize formatting. These efforts collectively improve runtime performance, code maintainability, testing reliability, and developer productivity, enabling faster model deployment and more robust graph-extraction workflows.