cuda-cutlass-fmha-incremental-rebuild
cuda-cutlass-fmha-incremental-rebuild is a Build, CI & test failure triage skill for AI agents, published by microsoft in the onnxruntime repository on GitHub. Skillspace rates cuda-cutlass-fmha-incremental-rebuild D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use when rebuilding ONNX Runtime CUDA after editing CUTLASS fused-MHA headers (onnxruntime/contrib_ops/cuda/bert/cutlass_fmha/*.h such as kernel_forward.h or fmha_launch_template.h), or when a header edit "passed" an incremental build but test behavior did not change. Explains the nvcc depfile gotcha that produces stale Memory-Efficient-Attention (MEA) kernels and binaries, and how to force a correct recompile. Also covers disk-space frugality on shared GPU dev boxes.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 21,842
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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