Modify contribution guide#315
Conversation
Summary of ChangesHello @BourneSun0527, I'm Gemini Code Assist1! 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 enhancing the project's contribution guide to make it more comprehensive and user-friendly for developers looking to contribute. It introduces detailed instructions for kernel development and clarifies the project's scope, aiming to streamline the onboarding process for new contributors. Highlights
🧠 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 to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization 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 Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 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. 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. Footnotes
|
There was a problem hiding this comment.
Code Review
This pull request improves the contribution guide by adding an introduction to the project, providing detailed steps for contributing Ascend C and Triton kernels, and cleaning up empty sections. The changes make the guide more comprehensive and useful for new contributors. I've added a few suggestions to further improve clarity and consistency in the documentation.
* 'main' of https://github.com/sgl-project/sgl-kernel-npu: (24 commits) [Doc] Improved README.md content and English grammar and integrated the DeepWiki badge for Ask AI (sgl-project#345) (test) add solve_tril from upstream (sgl-project#339) Add AscendC triangular inverse (sgl-project#332) support the situation that topk maybe -1 on machine A3 (sgl-project#313) chunk_gated_delta_rule_npu output final state (sgl-project#341) The environment variable DEEPEP_HCCL_BUFFSIZE is added, and the priority of DEEPEP_HCCL_BUFFSIZE is higher than that of HCCL_BUFFSIZE. (sgl-project#329) Added the low_latency operator API documentation. (sgl-project#337) Added the verification of num_max_dispatch_tokens_per_rank to the decode operator adaptation layer. (sgl-project#330) Document get_dispatch_layout API (sgl-project#338) 【Doc】add fused deep moe doc (sgl-project#335) add deepep normal api doc (sgl-project#336) remove the limit that A2 internode only support topk 8 (sgl-project#323) Optimize the performance of the Combine Ant Moving function and the use of HCCL buffer (sgl-project#314) deepep adapt custom cann installation path (sgl-project#327) [Chore] CANN version bump to 8.5.0 (sgl-project#326) add dfx for operator FusedDeepMoe (sgl-project#317) Integrate ccache for faster compilation (sgl-project#318) Modify contribution guide (sgl-project#315) fix bmm transpose in cann 8.5 (sgl-project#316) fix little batchsize and int8 quant on ci (sgl-project#302) ...
No description provided.