Worked on stabilizing and refining the TransformerBlock2D component within the google-ai-edge/ai-edge-torch repository, focusing on improving reliability for edge deployments. Addressed a critical initialization bug to ensure dimension overrides were correctly handled, and enhanced assertion messages for SkipUpDecoderBlock2D to aid in debugging. Undertook a thorough cleanup of configuration files by removing unused parameters from MidBlock2DConfig and DiffusionModelConfig, reducing configuration drift and simplifying maintenance. All changes were driven by code review and aligned with project quality standards. Utilized Python and PyTorch, applying deep learning and model configuration expertise to deliver more robust and maintainable transformer block implementations.