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Download scripts/import_measurements.py from ArchitSharma/InferScale-Sim: direct link, hf CLI and curl.
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- Download file 1.12 kB
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https://huggingface.co/spaces/ArchitSharma/InferScale-Sim/resolve/main/scripts/import_measurements.py
- Command line
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hf download hf://spaces/ArchitSharma/InferScale-Sim/scripts/import_measurements.py
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curl -L -o import_measurements.py https://huggingface.co/spaces/ArchitSharma/InferScale-Sim/resolve/main/scripts/import_measurements.py
1.12 kB
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| from inferscale.measurements import import_measurements | |
| from inferscale.models import SimulationConfig | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description="Normalize vLLM/SGLang serving benchmark artifacts for InferScale.") | |
| parser.add_argument("artifact", type=Path) | |
| parser.add_argument("--source", choices=["auto", "vllm", "sglang", "case_bundle"], default="auto") | |
| parser.add_argument("--base-config", type=Path, help="Optional JSON SimulationConfig used when artifact metadata is incomplete.") | |
| parser.add_argument("--output", type=Path, default=Path("measurement_cases.json")) | |
| args = parser.parse_args() | |
| base = SimulationConfig().to_dict() | |
| if args.base_config: | |
| base.update(json.loads(args.base_config.read_text())) | |
| result = import_measurements(args.artifact.read_text(), args.source, base) | |
| args.output.write_text(json.dumps(result, indent=2) + "\n") | |
| print(f"Normalized {result['case_count']} cases -> {args.output}") | |
| if __name__ == "__main__": | |
| main() | |