gemini-code-assist[bot] commented on PR #18681: URL: https://github.com/apache/tvm/pull/18681#issuecomment-3788414553
## Summary of Changes Hello @Kathryn-cat, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances TVM's CUDA compilation capabilities by integrating NVSHMEM support into the NVRTC backend. This allows users to compile and run CUDA kernels that leverage NVSHMEM features using the NVRTC compiler, offering an alternative to the traditional NVCC path. The changes involve adapting the NVRTC compilation process to include necessary linking steps, handle specific CUDA header requirements, and manage different binary output formats, ensuring seamless operation for distributed GPU programming with NVSHMEM. ### Highlights * **NVRTC NVSHMEM Support**: Enabled NVSHMEM compilation and linking within the NVRTC (NVIDIA Runtime Compilation) path, which was previously only supported by NVCC. * **Compilation and Linking Stages**: Implemented distinct compilation and linking stages for NVSHMEM programs using NVRTC, including handling `cubin` output and leveraging the CUDA driver API for linking. * **CUDA Header Compatibility**: Addressed compatibility issues by mapping `cuda::std` type traits to the `std` namespace and including CCCL paths for NVSHMEM headers, ensuring proper compilation. * **Flexible Binary Loading**: Updated the external kernel builder to handle both PTX and cubin binary formats, allowing for NVSHMEM-specific compilation outputs. * **New NVSHMEM Kernel Tests**: Introduced new tests to verify the correct compilation and execution of NVSHMEM kernels using both NVCC and NVRTC compilation modes. 🧠**New Feature in Public Preview:** You can now enable **Memory** to help **Gemini Code Assist** learn from your team's feedback. 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