gemini-code-assist[bot] commented on PR #18787: URL: https://github.com/apache/tvm/pull/18787#issuecomment-3909653131
## Summary of Changes Hello @mshr-h, 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 aims to resolve recent OpenCL test failures observed in the CI pipeline, which are believed to stem from an incompatibility introduced by a recent CUDA version upgrade. The changes involve reverting the CUDA base image to a known stable version and subsequently downgrading dependent libraries like PyTorch, ONNX, and their runtimes to ensure full compatibility and restore the reliability of the continuous integration tests. ### Highlights * **CUDA Version Reversion**: The base CUDA image used in the CI GPU Dockerfile was reverted from version 12.8.1 to 12.4.1 to address suspected compatibility issues causing test failures. * **PyTorch and ONNX Downgrade**: The installation script for ONNX and PyTorch was updated to install specific, older versions of ONNX, ONNX Runtime, ONNX Optimizer, PyTorch, and torchvision. These versions are now conditionally selected based on the Python version (3.9, 3.11, or other) and the target device (CUDA/CPU) to ensure compatibility with the reverted CUDA version. 🧠**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>Changelog</b></summary> * **docker/Dockerfile.ci_gpu** * Reverted the CUDA base image from `nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04` to `nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04`. * **docker/install/ubuntu_install_onnx.sh** * Introduced conditional installation logic for ONNX, ONNX Runtime, ONNX Optimizer, PyTorch, and torchvision based on the detected Python version (3.9, 3.11, or other) and the specified device (cuda/cpu). * Downgraded ONNX to `1.16.0` (for Python 3.9), `1.17.0` (for Python 3.11), or `1.12.0` (for other Python versions). * Downgraded ONNX Runtime to `1.19.2` (for Python 3.9), `1.20.1` (for Python 3.11), or `1.12.1` (for other Python versions). * Downgraded ONNX Optimizer to `0.2.7` across all conditional installation paths. * Downgraded PyTorch to `2.7.0` (for Python 3.9 and 3.11) or `2.4.1` (for other Python versions). * Downgraded torchvision to `0.22.0` (for Python 3.9 and 3.11) or `0.19.1` (for other Python versions). * Added `pip3 install future` to the installation steps. * Added comments explaining the rationale behind fixing ONNX versions due to potential test breakage. </details> <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]
