gemini-code-assist[bot] commented on PR #242: URL: https://github.com/apache/tvm-ffi/pull/242#issuecomment-3506553889
## Summary of Changes Hello @tqchen, 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 refines the number handling mechanism within the TVM FFI by introducing custom protocols for integer and float types. This change allows for more explicit and controlled conversion of various numeric objects, including `Integral` and `Real` types, and enables custom Python objects to define their FFI representation, ultimately leading to a more robust and flexible FFI system. ### Highlights * **New Custom Protocols**: Introduced two new custom protocols, `__tvm_ffi_int__` and `__tvm_ffi_float__`, allowing user-defined classes to specify how they should be converted to FFI integer and float types, respectively. * **Streamlined Number Handling**: Modified the FFI argument setter factory to prioritize and use dedicated setters for `Integral` and `Real` types, ensuring more conservative and precise handling of these number categories. * **Updated Conversion Logic**: The `_convert.py` module now checks for the presence of the new `__tvm_ffi_int__` and `__tvm_ffi_float__` attributes, enabling objects implementing these protocols to be directly converted. * **New FFI Argument Setters**: Added `TVMFFIPyArgSetterIntegral_`, `TVMFFIPyArgSetterReal_`, `TVMFFIPyArgSetterIntProtocol_`, and `TVMFFIPyArgSetterFloatProtocol_` in `function.pxi` to manage the conversion of these specific number types and protocol-compliant objects. * **Comprehensive Testing**: New test cases have been added to `test_function.py` to validate the correct behavior of `numpy` integer and float types, as well as custom classes implementing the new `__tvm_ffi_int__` and `__tvm_ffi_float__` protocols. <details> <summary><b>Using Gemini Code Assist</b></summary> <br> The full guide for Gemini Code Assist can be found on our [documentation page](https://developers.google.com/gemini-code-assist/docs/review-github-code), here are some quick tips. <b>Invoking Gemini</b> You can request assistance from Gemini at any point by creating a comment using either `/gemini <command>` or `@gemini-code-assist <command>`. Below is a summary of the supported commands on the current page. Feature | Command | Description --- | --- | --- Code Review | `/gemini review` | Performs a code review for the current pull request in its current state. Pull Request Summary | `/gemini summary` | Provides a summary of the current pull request in its current state. Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in pull request comments and review comments. Help | `/gemini help` | Displays a list of available commands. <b>Customization</b> To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a `.gemini/` folder in the base of the repository. Detailed instructions can be found [here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github). <b>Limitations & Feedback</b> Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with :thumbsup: and :thumbsdown: on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up [here](https://google.qualtrics.com/jfe/form/SV_2cyuGuTWsEw84yG). <b>You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the [Gemini Code Assist IDE Extension](https://cloud.google.com/products/gemini/code-assist).</b> </details> [^1]: Review the [Privacy Notices](https://policies.google.com/privacy), [Generative AI Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy), [Terms of Service](https://policies.google.com/terms), and learn how to configure Gemini Code Assist in GitHub [here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github). Gemini can make mistakes, so double check it and [use code with caution](https://support.google.com/legal/answer/13505487). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
