Upload hf_job_edge_mem.py with huggingface_hub

hf_job_edge_mem.py

@@ -0,0 +1,55 @@
+#!/usr/bin/env python3
+"""HF Jobs wrapper for scaling edge-memorization (arXiv:2510.26745)."""
+import argparse, json, os, subprocess, sys, time
+from datetime import datetime
+from pathlib import Path
+
+def main():
+    p = argparse.ArgumentParser()
+    p.add_argument("--degree", type=int, default=300)
+    p.add_argument("--path_len", type=int, default=5)
+    p.add_argument("--layers", type=int, default=8)
+    p.add_argument("--dim", type=int, default=384)
+    p.add_argument("--heads", type=int, default=8)
+    p.add_argument("--edge_epochs", type=int, default=10000)
+    p.add_argument("--path_epochs", type=int, default=3000)
+    p.add_argument("--lr", type=float, default=1e-3)
+    p.add_argument("--seed", type=int, default=42)
+    args = p.parse_args()
+
+    run_name = f"hfjob_d{args.degree}_L{args.layers}_D{args.dim}_e{args.edge_epochs}_s{args.seed}"
+    run_dir = Path("experiment_logs") / run_name
+    run_dir.mkdir(parents=True, exist_ok=True)
+
+    cmd = [
+        sys.executable, "repro/scripts/training_status.py",
+        "--graph", "star", "--degree", str(args.degree),
+        "--path_len", str(args.path_len),
+        "--layers", str(args.layers), "--dim", str(args.dim), "--heads", str(args.heads),
+        "--edge_epochs", str(args.edge_epochs), "--path_epochs", str(args.path_epochs),
+        "--lr", str(args.lr), "--seed", str(args.seed),
+        "--output_dir", str(run_dir)
+    ]
+
+    print("Running:", " ".join(cmd))
+    start = time.time()
+    try:
+        res = subprocess.run(cmd, check=True, capture_output=True, text=True)
+        exit_code = 0
+    except subprocess.CalledProcessError as e:
+        exit_code = e.returncode
+
+    duration = time.time() - start
+    summary = {
+        "run": run_name, "finished": exit_code == 0, "exit_code": exit_code,
+        "duration_sec": round(duration), "degree": args.degree,
+        "edge_epochs": args.edge_epochs, "path_epochs": args.path_epochs,
+        "timestamp": datetime.utcnow().isoformat()
+    }
+    out = Path("repro/bundle") / f"{run_name}_summary.json"
+    out.parent.mkdir(parents=True, exist_ok=True)
+    json.dump(summary, open(out, "w"), indent=2)
+    print(json.dumps(summary, indent=2))
+
+if __name__ == "__main__":
+    main()