protocol: freeze convolutional HFA baseline funnel

1 files changed, 50 insertions, 0 deletions

diff --git a/experiments/oral_a_hfa_full_development.py b/experiments/oral_a_hfa_full_development.py
new file mode 100644
index 0000000..afd4061
--- /dev/null
+++ b/experiments/oral_a_hfa_full_development.py
@@ -0,0 +1,50 @@
+#!/usr/bin/env python3
+"""Run the single frozen HFA-S2 full ResNet-20 validation baseline."""
+import argparse
+import json
+import os
+import subprocess
+import sys
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--selection", default="results/oral_a_hfa_short_selection.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.get("protocol") != "convolutional_hfa_S1_v1":
+        raise ValueError("unexpected HFA-S1 selection protocol")
+    if selection.get("status") != "selected_full_open":
+        raise ValueError("HFA-S1 full-validation gate did not pass")
+    rate = float(selection["selected"]["lr"])
+    if rate not in (0.01, 0.03, 0.1):
+        raise ValueError("selected HFA learning rate left the frozen grid")
+
+    command = [
+        sys.executable, "experiments/conv_run.py", "--mode", "hfa",
+        "--device", args.device, "--depth", "20", "--width", "16",
+        "--seed", "0", "--loader_seed", "0", "--batch_size", "128",
+        "--epochs", "200", "--train_limit", "0",
+        "--val_examples", "5000", "--split_seed", "2027",
+        "--eval_split", "validation", "--eval_every", "0",
+        "--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",
+        "--lr", str(rate), "--output_lr", "0.1", "--a_scale", "1",
+        "--alignment_probe", "32",
+        "--out", "results/oral_a_hfa_full/hfa.json",
+    ]
+    os.makedirs("results/oral_a_hfa_full", exist_ok=True)
+    print(" ".join(command), flush=True)
+    if not args.dry_run:
+        subprocess.run(command, check=True)
+
+
+if __name__ == "__main__":
+    main()
+