May 2025 monthly summary for the tensorflow/tensorflow repository focused on a targeted codebase refactor to improve TOSA/MLIR integration. Key work involved relocating dequantize_tfl_softmax.cc into the tfl_passes target to enhance code organization and future extension. This aligns with MLIR/TOSA initiatives and sets groundwork for more scalable integration and maintainability.

January 2025 (2025-01) monthly summary for pytorch/executorch focused on quantization workflow improvements and robustness. Delivered notable feature work around quantization annotation generalization and activation fusion, plus a robustness fix in the quantized activation type-check. The changes improved inference efficiency, reduced runtime errors in the quantization path, and laid groundwork for easier extension of annotators.