#!/usr/bin/env python3 """Run the three frozen MT-1 mixed-traffic development records.""" import argparse import json import os import subprocess import sys RULES = ("raw", "matched", "innovation") def main(): parser = argparse.ArgumentParser() parser.add_argument("--kp_full_gate", default="results/kp_full_gate.json") parser.add_argument("--rule", choices=("all",) + RULES, default="all") parser.add_argument("--device", default="cuda") parser.add_argument("--dry_run", action="store_true") args = parser.parse_args() with open(args.kp_full_gate) as handle: kp_gate = json.load(handle) if kp_gate.get("protocol") != "kolen_pollack_full_v1": raise ValueError("unexpected KP-2 protocol") if kp_gate.get("status") != "passed": raise ValueError("KP-2 did not open MT-1") rules = RULES if args.rule == "all" else (args.rule,) os.makedirs("results/kp_innovation_short", exist_ok=True) for rule in rules: command = [ sys.executable, "experiments/conv_run.py", "--mode", "kp_traffic", "--traffic_rule", rule, "--device", args.device, "--depth", "20", "--width", "16", "--seed", "0", "--loader_seed", "0", "--batch_size", "128", "--epochs", "20", "--train_limit", "0", "--val_examples", "5000", "--split_seed", "2027", "--eval_split", "validation", "--eval_every", "0", "--augment_train", "1", "--lr", "0.1", "--output_lr", "0.1", "--lr_schedule", "step", "--lr_milestones", "100,150", "--lr_gamma", "0.1", "--warmup_epochs", "0", "--momentum", "0.9", "--weight_decay", "1e-4", "--normalization", "batchnorm", "--a_scale", "1", "--traffic_seed", "4000", "--traffic_ratio", "4", "--traffic_calibration_examples", "64", "--learn_P", "1", "--eta_P", "0.1", "--predictor_warmup_steps", "20", "--predictor_every", "16", "--alignment_probe", "32", "--out", f"results/kp_innovation_short/{rule}.json", ] print(" ".join(command), flush=True) if not args.dry_run: subprocess.run(command, check=True) if __name__ == "__main__": main()