gemini-code-assist[bot] commented on PR #372: URL: https://github.com/apache/tvm-ffi/pull/372#issuecomment-3702725423
## 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 primarily focuses on improving the documentation for TVM-FFI, particularly concerning Python packaging and tensor handling. It reorders the Python packaging tutorial to better guide users through the wheel building process and significantly expands on the practical steps involved. Additionally, a new, detailed guide on TVM-FFI's tensor types and their interaction with DLPack and the stable C ABI has been introduced, providing essential information for developers working with tensors. The PR also includes various minor textual refinements across existing documentation to improve overall clarity. ### Highlights * **Documentation Reordering**: The 'Python Packaging' tutorial sections have been reordered to emphasize wheel building first, followed by C++ export and stub generation, providing a more logical flow for users. * **Expanded Python Packaging Guide**: The 'Build Python Wheel' section in the Python packaging documentation has been substantially expanded to include detailed instructions on CMake targets, Python build backend configuration (pyproject.toml), and wheel auditing tools (pip, uv, cibuildwheel, auditwheel). * **New Tensor and DLPack Documentation**: A comprehensive new documentation page (docs/concepts/tensor.rst) has been added, explaining TVM-FFI tensor classes, conversion mechanisms with TVMFFIAny, and C++/Python APIs for tensor manipulation, allocation, and stream handling. * **Wording and Clarity Improvements**: Numerous minor grammatical and clarity improvements have been applied across several documentation files (quickstart.rst, stable_c_abi.rst, python_packaging.rst) to enhance readability and conciseness. 🧠**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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