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#!/usr/bin/env python3
import argparse
import os
import shutil
import sys
import tempfile
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import harness
HERE = os.path.dirname(os.path.abspath(__file__))
PUBLIC_SEEDS = list(range(16))
CORE = ("worker.py", "graph_spec.py", "reference_executor.py")
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--dir", default="/app/output", help="directory holding executor.py")
ap.add_argument("--seeds", default=",".join(str(s) for s in PUBLIC_SEEDS))
ap.add_argument("--json", default=None, help="also write the full record here")
args = ap.parse_args()
seeds = [int(s) for s in args.seeds.split(",") if s.strip()]
run = tempfile.mkdtemp(prefix="bench_")
try:
for f in CORE:
shutil.copy2(os.path.join(HERE, f), os.path.join(run, f))
shutil.copytree(args.dir, os.path.join(run, "submission"))
rec = harness.measure(seeds, run, python=sys.executable)
finally:
shutil.rmtree(run, ignore_errors=True)
print("%5s %5s %6s %6s %11s %11s %8s %10s %10s"
% ("seed", "T", "d", "L", "ref best ms", "sub best ms", "ratio",
"max abs", "rel fro"))
for r in rec["per_instance"]:
print("%5d %5d %6d %6d %11.2f %11.2f %8.3f %10.2e %10.2e%s"
% (r["seed"], r["shape"]["T"], r["shape"]["d_model"],
r["shape"]["n_layers"], r["ref_best_s"] * 1e3, r["sub_best_s"] * 1e3,
r["ratio"], r["max_abs_err"], r["rel_fro_err"],
"" if r["equivalent"] else " NOT EQUIVALENT"))
if rec["failure"]:
print("\nFAILED: %s" % rec["failure"])
if rec["stderr_tail"]:
print(rec["stderr_tail"])
print("\ninstances %d, equivalent %d, geometric-mean speedup %.4f"
% (rec["n_instances"], rec["n_equivalent"], rec["metric"]))
if args.json:
harness.dump(rec, args.json)
return 0
if __name__ == "__main__":
sys.exit(main())