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#!/usr/bin/env python3
"""Run the single frozen Oral-A-v3 full ResNet-20 validation job."""
import argparse
import json
import os
import subprocess
import sys
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"--selection", default="results/oral_a_v3_calibration_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["status"] != "passed":
raise ValueError("Oral-A-v3 causal-capture gate did not pass")
chosen = selection["selected_v3"]
command = [
sys.executable, "experiments/conv_run.py",
"--mode", "sdil", "--device", args.device,
"--depth", "20", "--width", "16", "--seed", "0",
"--loader_seed", "0", "--batch_size", "128", "--epochs", "200",
"--val_examples", "5000", "--split_seed", "2027",
"--eval_split", "validation", "--eval_every", "20",
"--augment_train", "1", "--lr", "0.03", "--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",
"--vectorizer_mode", "channel_gated", "--a_scale", "0",
"--eta_A", str(chosen["eta_A"]), "--a_warmup_steps", "400",
"--apical_calibration_mode", "vectorizer_subspace",
"--pert_sigma", "0.01", "--pert_directions", "1",
"--pert_every", "4", "--perturb_seed", "1000",
"--alignment_probe", "32",
"--out", "results/oral_a_v3_dev/sdil_full_r20_s0.json",
]
os.makedirs("results/oral_a_v3_dev", exist_ok=True)
print(" ".join(command), flush=True)
if not args.dry_run:
subprocess.run(command, check=True)
if __name__ == "__main__":
main()
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