SOL ExecBench ROCm evaluates GPU kernel candidates and derives formal Speed-of-Light bounds for the AMD Radeon RX 9060 XT. The distribution contains two sibling packages with a deliberately narrow boundary:
sol_execbenchowns problem/workload contracts, imported-corpus selection, input generation, candidate correctness and timing, local score formulae, aggregation policy, security, and the CLI.solarowns only the three stages described in SOL-ExecBench §4.2: operator graph extraction, validated extended-einsum conversion, and SOL analysis.
The paper is the source of truth when imported implementations disagree: SOL-ExecBench.
uv sync --all-groupsOnly Python 3.12 is supported. Linux x86-64 resolves the ROCm 7.2 PyTorch stack
declared in pyproject.toml.
The reviewed selection is tracked at
problems/AMD_AKA/manifest.yaml. Problems are derived from AMD
AgentKernelArena (AKA, Apache-2.0) under the SOL-ExecBench paper §3
construction methodology: each problem's PyTorch reference is the AKA task's
own correctness oracle (module_fn), lifted into a standalone def run(...).
The manifest pins the exact AKA commit and records per-task file checksums so
the generated problems are bound to that source revision. The current seed set
covers matmul, softmax, norm, elementwise, and conv operations across FP32 /
BF16 / FP16.
Authored definitions and workloads are committed under
problems/AMD_AKA/<suite>/<name>/. Materialization detects the selected ROCm
device, filters incompatible workloads with static target rules plus a trusted
reference/harness probe, and writes an auditable target tree under
problems/local/AMD_AKA/<gfx-target>/:
bash scripts/fetch_aka_source.sh
uv run sol-execbench dataset materialize
uv run sol-execbench dataset audit problems/local/AMD_AKA/gfx1200dataset audit also verifies the local AKA clone is pinned to the manifest
revision and that every problem's per-task checksums match (the
problems-bound-to-commit binding). The public Definition contract requires a
non-empty op_type; the AKA importer records it per problem.
Candidate evaluation remains an outer-project operation:
./scripts/run_docker.sh -- sol-execbench evaluate \
problems/local/AMD_AKA/gfx1200/torch2hip/l1n1_square_matmul \
--solution /sol-execbench/path/to/solution.json \
--trace-output /outputs/matmul.trace.jsonlThe intended formal SOLAR target is RX 9060 XT gfx1200. This port's formal
publication policy requires the pinned Orojenesis toolchain; that is an
explicit ROCm release constraint, not a claim that the paper mandates this
tool for every SOLAR use. This revision deliberately blocks publication
because its locked-clock architecture audit artifact and reviewed Orojenesis
mapper artifact digest have not been published. An Orojenesis executable whose
digest is only self-declared by its local provenance manifest is rejected:
uv run sol-execbench solar analyze \
problems/local/AMD_AKA/gfx1200/torch2hip/l1n36_rmsnorm \
--workload aka-l1n36_rmsnorm-w0 \
--orojenesis-home /path/to/pinned/timeloop \
--output out/solar/norm_forward_bf16The isolated worker publishes an atomic directory containing only:
operator_graph.yaml, einsum_graph.yaml,
conversion-attestation.yaml, solar-analysis.yaml, and manifest.yaml.
It never receives candidate runtimes or computes scores.
Unknown operations fail closed during formal analysis. Offline learning writes a verified but untrusted candidate outside the formal lookup table:
OPENAI_API_KEY=... uv run sol-execbench solar learn-handler OP sample-node.yaml \
--output out/handler-candidates/OPFormal use remains forbidden until the generated source and proofs are reviewed
and committed under src/solar/handlers/ with an approved formal-review record
and matching source SHA-256.
The score formula is implemented without clipping, but this v3 corpus does not
yet publish the release baseline, independent rerun, trusted candidate
execution attestation, or pinned SOLAR manifest set needed for an official
claim. No official scorer command is exposed. sol-execbench score status
reports the immutable authority blockers without accepting measurement or
baseline inputs; caller-authored JSON cannot be promoted to an official score.
Once those release artifacts are published and pinned, correct candidates must
satisfy T_b > T_SOL and T_k >= T_SOL; workloads are averaged within each
problem and then across problems with equal weight.
uv run --with ruff ruff check .
uv run ty check
uv run pytest tests/GPU tests declare their ROCm and architecture prerequisites. Build the optional
container with ./scripts/run_docker.sh --build.
See SOLAR boundary and scoring contract for the normative v3 architecture.
Apache-2.0. Imported SOLAR files retain their original SPDX attribution.