#!/usr/bin/env python3 """Run the single frozen RRM-3 full ResNet-20 validation baseline.""" import argparse import json import os import subprocess import sys def main(): parser = argparse.ArgumentParser() parser.add_argument( "--selection", default="results/residual_mirror_short_gate.json") parser.add_argument("--device", default="cuda") parser.add_argument("--dry_run", action="store_true") args = parser.parse_args() with open(args.selection) as handle: selection = json.load(handle) if selection.get("protocol") != "residual_response_mirror_short_v1": raise ValueError("unexpected RRM-2 selection protocol") if selection.get("status") != "passed": raise ValueError("RRM-2 did not open RRM-3") rate = float(selection["selected_rrm"]["lr"]) if rate != 0.1: raise ValueError("RRM-2 selected an unexpected hidden rate") command = [ sys.executable, "experiments/conv_run.py", "--mode", "rrm", "--device", args.device, "--depth", "20", "--width", "16", "--seed", "0", "--loader_seed", "0", "--batch_size", "128", "--epochs", "200", "--train_limit", "0", "--val_examples", "5000", "--split_seed", "2027", "--eval_split", "validation", "--eval_every", "0", "--augment_train", "1", "--lr_schedule", "step", "--lr_milestones", "100,150", "--lr_gamma", "0.1", "--warmup_epochs", "0", "--momentum", "0.9", "--weight_decay", "1e-4", "--normalization", "batchnorm", "--lr", str(rate), "--output_lr", "0.1", "--a_scale", "1", "--alignment_probe", "32", "--mirror_warmup_steps", "20", "--mirror_every", "16", "--mirror_batch_size", "1", "--mirror_eta", "0.1", "--mirror_noise_std", "1", "--mirror_seed", "3000", "--out", "results/residual_mirror_full/rrm.json", ] os.makedirs("results/residual_mirror_full", exist_ok=True) print(" ".join(command), flush=True) if not args.dry_run: subprocess.run(command, check=True) if __name__ == "__main__": main()