flashinfer-dev-skills

To package and test FlashInfer kernels, modify the Triton or CUDA source files, generate the required solution.json from the source files, and run Modal tests with a reduced max-workloads setting for safe validation.

Yes, you can validate CUDA or Triton kernel changes by running Modal tests with a small subset of workloads. This reduced max-workloads setting ensures quick correctness and performance checks before full submission.

The standard run entrypoint must be preserved when modifying and packaging FlashInfer contest solutions. The workflow generates solution.json from the source files while maintaining this entrypoint for benchmark compatibility.

You can iterate on Triton kernels by editing the implementation, packing the updated code into the submission format, and running a quick Modal test to verify correctness and performance without breaking the benchmark workflow.

Yes, the FlashInfer packaging workflow supports both CUDA and Triton implementations. It modifies, packs, and tests contest solutions for either implementation type while preserving the standard run entrypoint.