Favicon of cuda-cutlass-fmha-incremental-rebuild

cuda-cutlass-fmha-incremental-rebuild Skill

AI Agent SkillC++Open source

Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contribops/cuda/bert/cutlassfmha/.h such as kernelforward.h or fmhalaunchtemplate.h), or when a header edit "passed" an incremental build but test behavior did not change. Explains the nvcc depfile gotcha that produces stale Memo Published by microsoft in onnxruntime.

Decision snapshot

Is this a fit?

Best for

Testing, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is cuda-cutlass-fmha-incremental-rebuild Skill?

Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contribops/cuda/bert/cutlassfmha/.h such as kernelforward.h or fmhalaunchtemplate.h), or when a header edit "passed" an incremental build but test behavior did not change. Explains the nvcc depfile gotcha that produces stale Memo Published by microsoft in onnxruntime. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Declared skill metadata

  • Source file: .agents/skills/cuda-cutlass-fmha-incremental-rebuild/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use cuda-cutlass-fmha-incremental-rebuild Skill

  • Use it for testing.

Built with

C++Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/onnxruntime
  • Skill file: .agents/skills/cuda-cutlass-fmha-incremental-rebuild/SKILL.md

What it does

Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contribops/cuda/bert/cutlassfmha/.h such as kernelforward.h or fmhalaunchtemplate.h), or when a header edit "passed" an incremental build but test behavior did not change. Explains the nvcc depfile gotcha that produces stale Memo

Skill instructions

Incremental rebuilds silently use STALE CUTLASS fused-MHA kernels The general false-green principles (stale binary, wrong-artifact mtime) are summarised in the ort-test skill's "False-green taxonomy". This skill is the CUDA/CUTLASS-specific detail. The gotcha (verification-integrity bug) nvcc-generated depfiles do not track the CUTLASS fused-MHA headers under onnxruntime/contribops/cuda/bert/cutlassfmha/ (e.g. kernelforward.h, fmhalaunchtemplate.h). These headers are included by the fmhasm.cu translation units, but the build system does not record that dependency. Consequence: after you edit one of those headers, an incremental build.sh: - does not recompile fmhasm.cu, - reports [100%] Built target ... and exits 0, - leaves the recompiled artifacts — the fmhasm.cu.o objects and the libonnxruntimeproviderscuda.so they link into — unchanged (same mtime as the pre-edit build). (Do not use the gtest test-exe mtime as the stale symptom: in the shared-provider build the exe dlopens the .so a

Verified compatibility and discovery

Frequently asked questions

What is cuda-cutlass-fmha-incremental-rebuild?

cuda-cutlass-fmha-incremental-rebuild is a open-source AI agent skill with Copy skill directory. Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contribops/cuda/bert/cutlassfmha/.h such as kernelforward.h or fmhalaunchtemplate.h), or.

Who is cuda-cutlass-fmha-incremental-rebuild best for?

cuda-cutlass-fmha-incremental-rebuild is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install cuda-cutlass-fmha-incremental-rebuild?

Install or run cuda-cutlass-fmha-incremental-rebuild using Copy skill directory. Check cuda-cutlass-fmha-incremental-rebuild for the latest setup command.

Is cuda-cutlass-fmha-incremental-rebuild actively maintained?

cuda-cutlass-fmha-incremental-rebuild may need a closer maintenance check before production use.

Share:

Stars
21,083
Forks
4,049
Last commit
2 months ago
Last verified
Not yet verified
Metadata fetched
Aug 21, 2026
Repository age
8 years
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

Alternatives to cuda-cutlass-fmha-incremental-rebuild