ONNX
onnxruntime
onnx-mlir
quantization
fp32
File size: 1,357 Bytes
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#!/usr/bin/env python3
"""Validate canonical registry metadata, eligibility, and local artifacts."""

from __future__ import annotations

import argparse
import json
from pathlib import Path

from registry_common import read_registry, validate_registry


def main() -> int:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("registry", type=Path)
    parser.add_argument("--verify-files", action="store_true")
    parser.add_argument("--require-complete", action="store_true")
    args = parser.parse_args()
    rows = read_registry(args.registry.resolve())
    errors = validate_registry(rows, args.verify_files, args.require_complete)
    counts: dict[str, int] = {}
    for row in rows:
        counts[row["eligibility"]] = counts.get(row["eligibility"], 0) + 1
    result = {
        "registry": str(args.registry.resolve()),
        "status": "FAIL" if errors else "PASS",
        "candidate_count": len(rows),
        "task_count": len({row["task"] for row in rows}),
        "eligibility_counts": dict(sorted(counts.items())),
        "verify_files": args.verify_files,
        "require_complete": args.require_complete,
        "errors": errors,
    }
    print(json.dumps(result, indent=2, sort_keys=True, ensure_ascii=False))
    return 1 if errors else 0


if __name__ == "__main__":
    raise SystemExit(main())