experiments: add validation-only apical traffic sweep

1 files changed, 74 insertions, 0 deletions

diff --git a/experiments/traffic_validation_sweep.sh b/experiments/traffic_validation_sweep.sh
new file mode 100755
index 0000000..9d27e25
--- /dev/null
+++ b/experiments/traffic_validation_sweep.sh
@@ -0,0 +1,74 @@
+#!/usr/bin/env bash
+# Development-only validation sweep for endogenous non-teaching apical traffic.
+# No test-set metric is emitted. Freeze a protocol before creating test results.
+#
+# Usage:
+#   traffic_validation_sweep.sh <gpu> [dataset] [families] [scales] [signals] [seeds]
+# Example:
+#   traffic_validation_sweep.sh 5 mnist "soma topdown" "0 0.2 0.5" \
+#       "raw matched residual taskfit" "0 1"
+set -eu
+
+cd "$(dirname "$0")/.."
+GPU="${1:?GPU index required}"
+DATASET="${2:-mnist}"
+FAMILIES="${3:-soma topdown}"
+SCALES="${4:-0 0.2 0.5}"
+SIGNALS="${5:-raw matched residual taskfit}"
+SEEDS="${6:-0}"
+PYTHON="${PYTHON:-/home/yurenh2/miniconda3/envs/ep_pascal/bin/python3}"
+
+for seed in $SEEDS; do
+  for family in $FAMILIES; do
+    for scale in $SCALES; do
+      # The zero-traffic condition is family-independent.
+      if [ "$scale" = "0" ] && [ "$family" != "soma" ]; then
+        continue
+      fi
+      scale_tag="${scale//./p}"
+      for signal in $SIGNALS; do
+        use_residual=1
+        raw_control=none
+        p_neutral=1
+        case "$signal" in
+          raw)
+            use_residual=0
+            ;;
+          matched)
+            use_residual=0
+            raw_control=match_innovation_norm
+            ;;
+          residual)
+            ;;
+          taskfit)
+            p_neutral=0
+            ;;
+          *)
+            echo "unknown signal control: $signal" >&2
+            exit 2
+            ;;
+        esac
+
+        tag="traffic_dev_v1_${DATASET}_${family}_rho${scale_tag}_${signal}_d3_s${seed}"
+        out="results/${tag}.json"
+        if [ -s "$out" ]; then
+          echo "[$tag] exists; skipping"
+          continue
+        fi
+        CUDA_VISIBLE_DEVICES="$GPU" "$PYTHON" experiments/run.py \
+          --mode sdil --dataset "$DATASET" --device cuda \
+          --depth 3 --width 256 --residual 1 --act tanh \
+          --epochs 15 --batch_size 128 --eta 0.05 --momentum 0.9 \
+          --eta_A 0.02 --eta_P 0.002 \
+          --pert_sigma 0.01 --pert_every 4 --pert_ndirs 16 \
+          --pert_mode simultaneous \
+          --traffic_mode "$family" --nuis_rho "$scale" \
+          --use_residual "$use_residual" --raw_scale_control "$raw_control" \
+          --learn_A 1 --learn_P 1 --p_neutral "$p_neutral" \
+          --p_warmup_steps 200 --p_warmup_eta 0.05 \
+          --val_examples 5000 --split_seed 2027 --eval_split validation \
+          --seed "$seed" --log_every 100 --tag "$tag"
+      done
+    done
+  done
+done