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Releases: flagos-ai/KernelGen

KernelGen V1.0.0 release

31 Dec 08:05
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This is FlagOS KernelGen version 1.0.0

‍Overview

KernelGen is an AI-powered automatic Triton kernel development tool built on the FlagOS ecosystem. It offers a fully automated workflow for operator (kernel) development, tuning, testing, and deployment, significantly boosting efficiency and speeding up multi-hardware adaptation.

Experience it from: https://kernelgen.flagos.io

‍Initial Release

  • Basic Workflow : Supports single, fixed - step code generation including GroundTruth → TritonKernel → Correctness Test → Performance Test.
  • User Registration : Supports self - service registration and application, with platform approval required for trial use.
  • Web Interface : Online access at https://kernelgen.flagos.io/.
  • Core Features :
    • Fully Automated Workflow : Automatically generates, tests, and optimizes complete AI operator sets.
    • Multi - Backend Support : Seamlessly supports multiple AI libraries and chips with automatic adaptation and debugging.
    • Easy - to - Use : Browser - based interface requiring no setup or prior experience.
    • Standardized Verification : Automatically generates test cases to ensure operator correctness.
    • Deep Ecosystem Integration : Collaborates with FlagGems and FlagTree to accelerate operator library development.

Known Issues

  • Some complex operators may require multiple iterations to achieve optimal performance.
  • Performance test timeouts may occur for certain operators.
  • Limited support for edge computing platforms (work in progress).

Future Roadmap

  • Integration with more AI frameworks and hardware platforms
  • Enhanced operator optimization capabilities

Contact Information

For questions or feedback, please contact the FlagOS team at contact@flagos.io or record issues in this repository.

Powered by FlagOS - Building the unified open - source system software stack for diverse AI chips.