> 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.
npx skills add https://github.com/microsoft/onnxruntime --skill cuda-cutlass-fmha-incremental-rebuild
> 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.
nvcc-generated depfiles do not track the CUTLASS fused-MHA headers under
onnxruntime/contrib_ops/cuda/bert/cutlass_fmha/ (e.g. kernel_forward.h,
fmha_launch_template.h). These headers are #included by the fmha_sm*.cu
translation units, but the build system does not record that dependency.
Consequence: after you edit one of those headers, an incremental build.sh:
fmha_sm*.cu,[100%] Built target ... and exits 0,fmha_sm*.cu.o objects and thelibonnxruntime_providers_cuda.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.
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.
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 fmha_sm*.cu.o link into
libonnxruntime_providers_cuda.so, and the onnxruntime_provider_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:
.so that links the recompiled .o —build/<dir>/<cfg>/libonnxruntime_providers_cuda.so
onnxruntime_provider_test)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).
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*,
Attention_Causal_NonPadKVSeqLen_MEA_*) live in onnxruntime_provider_test, which CI
runs; onnxruntime_test_all does not contain them and gives a false green. Verify the
MEA/Flash boundary fix against onnxruntime_provider_test.
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
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Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take microsoft/cuda-cutlass-fmha-incremental-rebuild from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.