During September 2025, Msi contributed to the pytorch/pytorch repository by implementing a CUDA to HIP host function mapping, enabling seamless conversion of host function types from CUDA to HIP. This work involved updating the cuda_to_hip_mappings table to support mapping cudaHostFn_t to hipHostFn_t, which facilitates cross-platform portability for PyTorch workloads that depend on host function callbacks. Msi utilized Python along with expertise in CUDA, GPU programming, and HIP to design and integrate the mapping. The contribution addressed a specific interoperability challenge, laying the foundation for broader CUDA-HIP compatibility in PyTorch without introducing major bug fixes during the period.