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#!/usr/bin/env python3
"""Run a shard of the frozen A3 full ResNet-20 local-method development gate."""
import argparse
import json
import os
import subprocess
import sys
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--short_selection", default="results/oral_a_short_selection.json")
parser.add_argument("--bp_selection", default="results/oral_a_bp_selection.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.short_selection) as handle:
short = json.load(handle)
with open(args.bp_selection) as handle:
bp = json.load(handle)
if short["status"] != "selected":
raise ValueError("A2b advancement gate did not pass")
if not bp["status"].startswith("passed_"):
raise ValueError("A1 BP reference gate did not pass")
dfa = short["selected_dfa"]
sdil = short["selected_sdil"]
common = [
sys.executable, "experiments/conv_run.py", "--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_schedule", "step", "--lr_milestones", "100,150",
"--lr_gamma", "0.1", "--warmup_epochs", "0", "--momentum", "0.9",
"--weight_decay", "1e-4", "--normalization", "batchnorm",
"--output_lr", "0.1", "--alignment_probe", "32",
]
jobs = [
("dfa", common + [
"--mode", "dfa", "--lr", str(dfa["lr"]), "--a_scale", "1",
"--vectorizer_mode", "spatial_template",
"--out", "results/oral_a_dev/dfa_full_r20_s0.json"]),
("sdil", common + [
"--mode", "sdil", "--lr", str(sdil["lr"]),
"--vectorizer_mode", sdil["vectorizer_mode"],
"--a_scale", str(sdil["a_scale"]), "--eta_A", str(sdil["eta_A"]),
"--a_warmup_steps", "100", "--pert_sigma", "0.01",
"--pert_directions", "1", "--pert_every", "4",
"--out", "results/oral_a_dev/sdil_full_r20_s0.json"]),
]
os.makedirs("results/oral_a_dev", 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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