gemini-code-assist[bot] commented on PR #351: URL: https://github.com/apache/tvm-ffi/pull/351#issuecomment-3676934487
## Summary of Changes Hello @junrushao, 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 enhances the CMake build system for TVM-FFI by introducing two new utility functions, `tvm_ffi_add` and `tvm_ffi_install`. These functions aim to simplify the configuration and installation of CMake targets that integrate with TVM-FFI, providing a more declarative and less verbose approach to managing dependencies, debug symbols, and platform-specific settings. The changes reduce the manual effort required to set up TVM-FFI extensions, making the build process more robust and user-friendly. ### Highlights * **New CMake Functions**: Introduced `tvm_ffi_add` and `tvm_ffi_install` CMake functions to simplify the integration of CMake targets with TVM-FFI, mirroring patterns seen in `pybind11-add-module` and `nanobind_add_module`. * **Simplified Target Configuration**: The `tvm_ffi_add` function streamlines the process of configuring a target by handling linking against `tvm_ffi_header` and `tvm_ffi_shared`, applying prefix maps, enabling Apple dSYM generation, and applying MSVC-specific flags with configurable options. * **Streamlined Artifact Installation**: The `tvm_ffi_install` function provides a dedicated mechanism for installing TVM-FFI related artifacts, specifically dSYM bundles on Apple platforms, with an optional destination parameter. * **Example Simplification**: The `examples/packaging/CMakeLists.txt` file has been updated to demonstrate the use of these new functions, significantly reducing boilerplate code for TVM-FFI extension setup and installation. 🧠**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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