protocol: implement residual mirror short gate

1 files changed, 64 insertions, 0 deletions

diff --git a/experiments/residual_mirror_short_screen.py b/experiments/residual_mirror_short_screen.py
new file mode 100755
index 0000000..99e503a
--- /dev/null
+++ b/experiments/residual_mirror_short_screen.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""Run the two frozen RRM-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/residual_mirror_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") != "residual_response_mirror_capture_v1":
+        raise ValueError("unexpected residual-mirror capture protocol")
+    if selection.get("status") != "passed":
+        raise ValueError("RRM-1 did not pass")
+    mirror_eta = float(selection["selected_rrm"]["mirror_eta"])
+    if mirror_eta != 0.1:
+        raise ValueError("RRM-1 selected an unexpected frozen rate")
+
+    common = [
+        sys.executable, "experiments/conv_run.py", "--mode", "rrm",
+        "--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"rrm_lr{rate}"
+        jobs.append((tag, common + [
+            "--lr", str(rate),
+            "--out", f"results/residual_mirror_short/{tag}.json",
+        ]))
+    os.makedirs("results/residual_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()