a5d69dfd9a
- Update platforms/nvidia_h200.env with ENGINE and configurable venv/paths. - Update platforms/README.md with H200 notes and platform-addition guide. - Add docs/H200_QUICKSTART.md with concrete H200 usage steps. - Add experiments/dsv4_h200_dspark/ as a migration wrapper around the existing scripts/benchmark_dspark_0707/ grid benchmark, writing results into the new experiments/<name>/results/<RUN_ID>/ layout. - Update BENCHMARK_WORKFLOW.md with a 'Adding a New Platform or Experiment' section and mention the H200 wrapper in Quick Start. - Update main README.md to index the H200 experiment and link to the guide.
37 lines
1.0 KiB
Python
Executable File
37 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Parse H200 DSpark benchmark outputs.
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This is a thin wrapper around the legacy parser in
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scripts/benchmark_dspark_0707/parse_results.py. It exists so that the
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experiment keeps the same entry point as other experiments.
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Usage:
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python3 parse_results.py <result_root>
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"""
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import os
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import subprocess
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import sys
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from pathlib import Path
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def main() -> None:
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result_root = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("results")
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repo_root = Path(__file__).resolve().parents[2]
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legacy_parser = repo_root / "scripts" / "benchmark_dspark_0707" / "parse_results.py"
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if not legacy_parser.exists():
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raise SystemExit(f"legacy parser not found: {legacy_parser}")
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venv_client = os.environ.get("VENV_CLIENT", "/data/user1/yy/envs/sglang")
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python = Path(venv_client) / "bin" / "python"
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if not python.exists():
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python = Path(sys.executable)
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subprocess.run([str(python), str(legacy_parser), str(result_root)], check=True)
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print(f"Parsed {result_root}")
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if __name__ == "__main__":
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main()
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