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#!/usr/bin/env python3
"""Run the two frozen WM-2 short ResNet-20 accuracy jobs."""
import argparse
import json
import os
import subprocess
import sys
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"--selection", default="results/mirror_causal_capture_gate.json")
parser.add_argument("--device", default="cuda")
parser.add_argument("--shard_index", type=int, default=0)
parser.add_argument("--num_shards", type=int, default=1)
parser.add_argument("--dry_run", action="store_true")
args = parser.parse_args()
if not 0 <= args.shard_index < args.num_shards:
raise ValueError("invalid shard index")
with open(args.selection) as handle:
selection = json.load(handle)
if selection.get("protocol") != "normalized_response_mirror_capture_v1":
raise ValueError("unexpected mirror capture protocol")
if selection.get("status") != "passed":
raise ValueError("WM-1 did not pass")
mirror_eta = float(selection["selected_wm"]["mirror_eta"])
if mirror_eta != 0.1:
raise ValueError("WM-1 selected an unexpected frozen rate")
common = [
sys.executable, "experiments/conv_run.py", "--mode", "wm",
"--device", args.device, "--depth", "20", "--width", "16",
"--seed", "0", "--loader_seed", "0", "--batch_size", "128",
"--epochs", "20", "--train_limit", "10000",
"--val_examples", "5000", "--split_seed", "2027",
"--eval_split", "validation", "--eval_every", "0",
"--augment_train", "1", "--lr_schedule", "cosine",
"--warmup_epochs", "0", "--momentum", "0.9",
"--weight_decay", "1e-4", "--normalization", "batchnorm",
"--output_lr", "0.1", "--a_scale", "1",
"--alignment_probe", "32", "--mirror_warmup_steps", "20",
"--mirror_every", "16", "--mirror_batch_size", "1",
"--mirror_eta", str(mirror_eta), "--mirror_noise_std", "1",
"--mirror_seed", "3000",
]
jobs = []
for rate in (0.03, 0.1):
tag = f"wm_lr{rate}"
jobs.append((tag, common + [
"--lr", str(rate),
"--out", f"results/mirror_short/{tag}.json",
]))
os.makedirs("results/mirror_short", exist_ok=True)
for index, (tag, command) in enumerate(jobs):
if index % args.num_shards != args.shard_index:
continue
print(tag, " ".join(command), flush=True)
if not args.dry_run:
subprocess.run(command, check=True)
if __name__ == "__main__":
main()
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