Upload hf_job_edge_mem.py with huggingface_hub

hf_job_edge_mem.py

@@ -1,55 +1,62 @@
 #!/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
+import argparse, json, subprocess, sys, time
+from datetime import datetime, timezone
 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()
+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)
+run_name = "hfjob_d{}_L{}_D{}_e{}_s{}".format(args.degree, args.layers, args.dim, args.edge_epochs, 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)
-    ]
+# Use absolute path from the mounted volume
+training_script = "/scripts/training_status.py"
 
-    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
+cmd = [
+    sys.executable, training_script,
+    "--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)
+]
 
-    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))
+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
 
-if __name__ == "__main__":
-    main()
+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.now(timezone.utc).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))