gemini-code-assist[bot] commented on PR #390: URL: https://github.com/apache/tvm-ffi/pull/390#issuecomment-3723139433
## 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 significantly enhances the `Tensor Usage` documentation by restructuring the content and introducing a detailed 'Common Usage' section. This new section provides practical, day-to-day guidance for kernel developers on essential tensor operations, including metadata validation, seamless integration with PyTorch via DLPack, C++ memory allocation best practices, and effective stream management. The changes aim to improve clarity and provide more actionable examples for users interacting with tensors in the TVM-FFI framework. ### Highlights * **Documentation Reorganization**: The tutorial structure for tensor concepts has been updated, moving the 'Tensor APIs' section to an earlier position for better flow and emphasis. * **New 'Common Usage' Section**: A significant new section has been added, providing practical examples and explanations for key tensor operations in both C++ and Python. * **Kernel Signature Guidance**: Detailed C++ examples are now included to demonstrate how to validate tensor metadata (dtype, shape, device) and access data pointers within kernel implementations. * **PyTorch Interoperability**: The documentation now clearly explains how `tvm_ffi.Tensor` facilitates seamless import and export of tensors with external frameworks like PyTorch using the DLPack protocol. * **C++ Allocation Strategies**: New content covers both environment-specific (`Tensor::FromEnvAlloc`) and custom (`Tensor::FromNDAlloc`) C++ tensor allocation methods, along with a strong recommendation to avoid in-kernel allocations. * **C++ Stream Handling**: Comprehensive guidance on obtaining, automatically updating, and manually setting stream contexts in C++ for GPU kernel execution is now provided. * **Removed Redundant Section**: The previous 'Tensor APIs' section has been removed, as its content has been absorbed and expanded upon in the new 'Common Usage' section. 🧠**New Feature in Public Preview:** You can now enable **Memory** to help **Gemini Code Assist** learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. **Click [here](https://codeassist.google/code-review/login) to enable Memory in your admin console.** <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]
