Spaces:
Running
Running
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| from inferscale.measurements import calibrate_measurements | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description="Fit timing scale factors and validate on held-out serving measurements.") | |
| parser.add_argument("cases", type=Path, help="Normalized measurement_cases.json or a raw list of InferScale cases.") | |
| parser.add_argument("--holdout", type=float, default=0.33) | |
| parser.add_argument("--seed", type=int, default=7) | |
| parser.add_argument("--output", type=Path, default=Path("calibration_result.json")) | |
| args = parser.parse_args() | |
| payload = json.loads(args.cases.read_text()) | |
| cases = payload.get("cases", payload) if isinstance(payload, dict) else payload | |
| result = calibrate_measurements(cases, args.holdout, args.seed) | |
| args.output.write_text(json.dumps(result, indent=2) + "\n") | |
| print(f"Validation mode: {result['validation_mode']}") | |
| print(f"Baseline MAPE: {result['baseline']['mape_pct']:.2f}%") | |
| print(f"Calibrated MAPE: {result['calibrated']['mape_pct']:.2f}%") | |
| print(f"Wrote {args.output}") | |
| if __name__ == "__main__": | |
| main() | |