1 files changed, 53 insertions, 0 deletions
diff --git a/experiments/kp_dynamic_projection_short.py b/experiments/kp_dynamic_projection_short.py
new file mode 100755
index 0000000..79da620
--- /dev/null
+++ b/experiments/kp_dynamic_projection_short.py
@@ -0,0 +1,53 @@
+#!/usr/bin/env python3
+"""Run the frozen D2 short dynamic-projection validation endpoint."""
+import argparse
+import json
+import os
+import subprocess
+import sys
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--device", default="cuda")
+    parser.add_argument("--dry_run", action="store_true")
+    parser.add_argument(
+        "--d1_gate", default="results/kp_dynamic_projection_gate.json")
+    parser.add_argument(
+        "--out", default="results/kp_dynamic_projection_short/dynamic.json")
+    args = parser.parse_args()
+    with open(args.d1_gate) as handle:
+        gate = json.load(handle)
+    if (gate.get("protocol") !=
+            "kp_dynamic_neutral_projection_training_prefix_v1"
+            or gate.get("status") != "passed"):
+        raise ValueError("D2 requires the audited D1 pass")
+    command = [
+        sys.executable, "experiments/conv_run.py",
+        "--mode", "kp_traffic", "--traffic_rule", "innovation",
+        "--predictor_mode", "closed_form", "--neutral_projection", "1",
+        "--device", args.device, "--depth", "20", "--width", "16",
+        "--seed", "0", "--loader_seed", "0", "--batch_size", "128",
+        "--epochs", "20", "--train_limit", "0",
+        "--val_examples", "5000", "--split_seed", "2027",
+        "--eval_split", "validation", "--eval_every", "0",
+        "--augment_train", "1", "--lr", "0.1", "--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", "--a_scale", "1",
+        "--traffic_seed", "4000", "--traffic_ratio", "4",
+        "--traffic_calibration_examples", "64",
+        "--learn_P", "1", "--eta_P", "0.1",
+        "--predictor_warmup_steps", "1", "--predictor_every", "0",
+        "--alignment_probe", "32", "--out", args.out,
+    ]
+    print(" ".join(command), flush=True)
+    if not args.dry_run:
+        os.makedirs(os.path.dirname(os.path.abspath(args.out)), exist_ok=True)
+        subprocess.run(command, check=True)
+
+
+if __name__ == "__main__":
+    main()
+