"NO_KERNEL" reads as "this operator has no kernel", which is not what the
verdict means and not usually true. It means the run compiled no Triton
kernel: the operator may have run perfectly well through aten or a vendor
library, and a GPU kernel certainly executed. What is absent is anything for
the Triton compiler pass under test to act on.
The note now says that, and says the one alternative explanation is already
ruled out: run_pytest.sh gives every run its own TRITON_CACHE_DIR, so zero
.ttgir cannot be compilation skipped by a warm cache.
zl_bench already had the screening mechanics — ab_rlc_test.sh runs exactly one
config-pinned pair per operator (before records, after replays it) against the
vendor-prefixed RLC switch. I had started a second script for the same job
instead of extending this one; that is removed.
What the existing script could not tell you is whether the pair is worth
following with six rounds, which costs 13-44 minutes per operator against
about 0.8 for the pair. It now writes a verdict per operator to
<root>/screen.tsv, and three of the four are not "the switch does nothing":
IR_CHANGED the two sides' ttgir differ -> measure it
NO_IR_DIFF byte-identical, configs pinned -> skip it
NO_KERNEL rows but no .ttgir -> never reached Triton here
NO_ROWS no measurements -> usually the dtype
The criterion is the ttgir fingerprint, not the convert_layout count: equal
counts do not mean equal generated code, and what the A/B measures is whether
the generated code changed. Counts are still recorded — they say what kind of
change it was. The fingerprint comes from _ir_fingerprint.sh, shared with
ab_repeat.sh's round-1 check so the two cannot drift apart.
OPS entries take an optional per-operator dtype and default to the operator's
own set. Forcing one dtype across a list is how fft got written off as
unrunnable on MUSA: it only accepts complex64.
Output moves under runs/ab_rlc_<ts>/<op>_{before,after} with OUT_DIR set
explicitly, rather than recovering the directory with `ls -dt runs/<op>_*`.
That lookup is correct while one process runs operators in series, which is
the only way it has been used; it stops being correct the moment several cards
share runs/.
Three pieces from the fork's feature/musa-benchmark-support branch that never
reached main, rebased onto the backend abstraction rather than copied verbatim.
_musa_benchmark_compat_plugin drops FlagGems benchmark skip guards written as
`torch.cuda.is_available()` where the code under test dispatches through
flag_gems.device. On MThreads those turn a working operator into "not measured":
test_fft.py skipped entirely, and unskipped on an S5000 it produces 25 rows. The
plugin pins each override to one file and one exact skip reason and only acts
when flag_gems has dispatched to the mthreads vendor; two guards were probed on
device and deliberately left in place, which is why they are named in its
docstring rather than silently absent.
It is wired through a new DeviceBackend.compat_plugins rather than a name test
in the planner, so the policy stays where every other backend difference lives.
Compat plugins are planned first because they rewrite collection-time markers
and nothing may read the item list before them; a test pins that position and
another pins that they do not leak to other backends.
batch_summary gains --ab: the speedup column compares gems against torch, not
one build against another, so an A/B needs the two run.logs paired by operator,
dtype and size detail. Only rows that succeeded on both sides with a positive
latency count, so an incomplete pairing cannot look like a complete range, and
the range is annotated when either side carries a BENCHMARK_DIRECT_NO_CUDAGRAPH
marker, since a fallback row was timed under a different regime.
ab_rlc_test.sh is the same caliber as ab_fold_test.sh with the comparison axis
moved to FLAGTREE_<VENDOR>_RLC_ENHANCE. Both are caliber examples, not
regression scripts: if the switch under test no longer exists the script still
runs every round and prints a full table showing no difference, so confirm the
axis is live before reusing either.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>