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#!/usr/bin/env python3
"""Run a deterministic shard of the frozen convolutional-HFA short screen."""
import argparse
import os
import subprocess
import sys
def main():
parser = argparse.ArgumentParser()
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")
common = [
sys.executable, "experiments/conv_run.py", "--mode", "hfa",
"--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",
]
jobs = []
for rate in (0.01, 0.03, 0.1):
tag = f"hfa_lr{rate}"
jobs.append((tag, common + [
"--lr", str(rate),
"--out", f"results/oral_a_hfa_short/{tag}.json",
]))
os.makedirs("results/oral_a_hfa_short", exist_ok=True)
selected = [job for index, job in enumerate(jobs)
if index % args.num_shards == args.shard_index]
for tag, command in selected:
print(tag, " ".join(command), flush=True)
if not args.dry_run:
subprocess.run(command, check=True)
if __name__ == "__main__":
main()
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