Document Ornith 1.5 A/B benchmark
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#!/usr/bin/env python3
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"""Sample physical GPU load during a GO-authorized A/B case."""
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import argparse
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import json
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import pathlib
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import subprocess
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import time
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def main():
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p = argparse.ArgumentParser()
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p.add_argument("--output", type=pathlib.Path, required=True)
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p.add_argument("--interval", type=float, default=1.0)
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p.add_argument("--go", action="store_true")
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args = p.parse_args()
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if not args.go:
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p.error("No GPU monitoring before explicit --go")
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args.output.parent.mkdir(parents=True, exist_ok=True)
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cmd = ["nvidia-smi", "--query-gpu=uuid,name,memory.used,utilization.gpu,power.draw",
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"--format=csv,noheader,nounits"]
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with args.output.open("w") as out:
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while True:
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sample = subprocess.run(cmd, capture_output=True, text=True, timeout=15)
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record = {"time": time.time(), "returncode": sample.returncode,
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"rows": [line.strip() for line in sample.stdout.splitlines() if line.strip()],
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"error": sample.stderr.strip() if sample.returncode else ""}
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out.write(json.dumps(record) + "\n")
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out.flush()
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time.sleep(args.interval)
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if __name__ == "__main__":
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main()
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