
During January 2025, Ayankele contributed to the DUNE/dunereco repository by delivering three core features focused on geometry handling, model deployment, and build system reliability. They refactored the Transformer PixelMapProducer to utilize the WireReadout service for geometry information, aligning with updated plane and wire APIs and improving data fidelity. For model deployment, Ayankele updated the TransformerCVN Evaluator to load models from StashCache using absolute paths, supporting a new directory layout. Additionally, they enhanced the CMake build configuration to conditionally include PyTorch-dependent components based on the presence of LIBTORCH_DIR, increasing build robustness. Their work demonstrated depth in C++, CMake, and configuration management.

January 2025 monthly summary for DUNE/dunereco: Delivered core geometry and deployment improvements to strengthen data fidelity, model reliability, and build robustness. The changes align with updated geometry APIs, streamline model deployment, and harden the build system to reduce CI and local build failures.
January 2025 monthly summary for DUNE/dunereco: Delivered core geometry and deployment improvements to strengthen data fidelity, model reliability, and build robustness. The changes align with updated geometry APIs, streamline model deployment, and harden the build system to reduce CI and local build failures.
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