microsoft/onnxruntime · Archived

cuda-cutlass-fmha-incremental-rebuild

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.

First seen Aug 19, 2026

Installation

$ npx skills add microsoft/onnxruntime --skill cuda-cutlass-fmha-incremental-rebuild

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from microsoft/onnxruntime · top by installs.

npx skills add microsoft/onnxruntime

Browse all from microsoft/onnxruntime

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 21.8K
License LICENSE
Default branch main
Open issues 844
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,225 B
  • docs SUMMARY.md 517 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

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 fmha_sm*.cu,
  • reports [100%] Built target ... and exits 0,
  • leaves the recompiled artifacts — the fmha_sm*.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 and is not relinked, so its mtime stays old even after a correct rebuild — see "How to confirm" below. The reliable diagnostic signal is the fmha_sm*.cu.o / .so mtime.)

So your "successful" rebuild is running the old kernel. Tests that should now pass (or fail) reflect the previous code, not your edit. This silently invalidates any FAIL→PASS / PASS→FAIL verification.

The fix — force recompile the .cu units

Before rebuilding after editing any cutlass_fmha/*.h header:

touch onnxruntime/contrib_ops/cuda/bert/cutlass_fmha/*.cu

Then run the normal build command. This forces the fmha_sm*.cu translation units (and downstream binaries) to recompile against your header change.

How to confirm the rebuild was real (don't trust "[100%] Built")

Confirm that the artifact which actually links the recompiled fmha_sm*.cu.o is newer than your header edit.

⚠️ Do NOT just check the test EXE mtime — it can falsely flag a good build as stale. In the shared-provider build configuration (the default here), the CUDA execution provider is a shared module: the recompiled fmhasm.cu.o link into libonnxruntimeproviderscuda.so, and the onnxruntimeprovider_test executable dlopens that .so — it is not relinked. So after a correct* rebuild the test exe mtime stays old while the .so advances. Checking the exe alone would wrongly conclude the build was stale.

Check the right artifact for your link mode:

  • Shared-provider build (default): the .so that links the recompiled .o —

build/<dir>/<cfg>/libonnxruntimeproviderscuda.so

  • Statically-linked provider: the test exe itself (onnxruntimeprovidertest)

Safest check — stat both the recompiled object and the .so, and confirm BOTH are newer than the header edit:

stat -c '%y %n' onnxruntime/contrib_ops/cuda/bert/cutlass_fmha/kernel_forward.h
# in your build dir, e.g. build/Debug_quickbuild/Debug/:
stat -c '%y %n' libonnxruntime_providers_cuda.so
# and the actual recompiled object (path varies by build dir):
find . -name 'fmha_sm80.cu.o' -exec stat -c '%y %n' {} +

If the .so (and the fmha_sm*.cu.o) timestamps are older than (or equal to) the header edit, the build was stale — touch the .cu files and rebuild. The most reliable signal of all is behavioral: a test that was failing now passes (a stale binary cannot flip its result).

Related: pick the right test binary

This is the CUDA/CUTLASS instance of false-green mode 1 (zero-match / wrong binary) — see the ort-test skill's "False-green taxonomy" for the general principle. In short: attention/MEA/Flash boundary gtests (e.g. FlashStructuralEmptyRows, AttentionCausalNonPadKVSeqLenMEA) live in onnxruntimeprovidertest, which CI runs; onnxruntimetestall does not contain them and gives a false green. Verify the MEA/Flash boundary fix against onnxruntimeprovidertest.

Related: disk frugality on shared GPU dev boxes

Full ORT CUDA builds are large (test binaries ~1 GB each; a build dir can reach tens of GB). On a shared box, /home filling to 100% makes builds fail in non-obvious places — e.g. git submodule sync reporting No space left on device or a config.lock error, not an obvious "disk full" at the compile step.

Before a big rebuild, check free space and clean only clearly-stale, regenerable build directories (old dated experiment dirs). Never delete another agent's active build dir or anything ambiguous:

df -h /home
du -sh build/* | sort -h