1 files changed, 88 insertions, 0 deletions
diff --git a/experiments/run_battery.sh b/experiments/run_battery.sh
new file mode 100644
index 0000000..847d610
--- /dev/null
+++ b/experiments/run_battery.sh
@@ -0,0 +1,88 @@
+#!/usr/bin/env bash
+# SDIL experiment battery. Runs sequentially on ONE GPU (nets are tiny).
+# Usage: bash run_battery.sh <wave>   wave in {A,B,all}
+set -u
+cd "$(dirname "$0")/.."               # -> /home/yurenh2/sdil
+PY=/home/yurenh2/miniconda3/envs/ep_pascal/bin/python3
+export OMP_NUM_THREADS=2
+WAVE="${1:-all}"
+OUT=results
+LOGS=logs/battery
+mkdir -p "$OUT" "$LOGS"
+SEEDS="0 1 2"
+EP=20
+PROG="$LOGS/progress.txt"
+echo "=== battery start wave=$WAVE $(date) ===" >> "$PROG"
+
+run () {   # run <tag> <args...>
+  local tag="$1"; shift
+  if [ -f "$OUT/$tag.json" ]; then echo "skip $tag (exists)" >> "$PROG"; return; fi
+  echo ">>> $tag  $(date +%H:%M:%S)" >> "$PROG"
+  $PY experiments/run.py --tag "$tag" --outdir "$OUT" "$@" > "$LOGS/$tag.log" 2>&1 \
+     && grep -h "DONE" "$LOGS/$tag.log" >> "$PROG" \
+     || echo "FAIL $tag" >> "$PROG"
+}
+
+# ---------------- Wave A: core claims, seed 0 (fast health + headline) --------
+if [ "$WAVE" = "A" ] || [ "$WAVE" = "all" ]; then
+  for m in bp dfa sdil; do
+    run "A_main_${m}_s0" --mode $m --dataset mnist --depth 3 --width 256 --epochs $EP --seed 0
+  done
+  # residualization under nuisance (the Harnett-specific claim), seed 0
+  for rho in 0 2 8; do
+    for ur in 0 1; do
+      run "A_nuis_rho${rho}_res${ur}_s0" --mode sdil --nuis_rho $rho --use_residual $ur \
+          --depth 3 --width 256 --epochs $EP --seed 0
+    done
+  done
+  # trained vs fixed apical pathway, seed 0
+  run "A_fixedA_s0" --mode sdil --learn_A 0 --depth 3 --width 256 --epochs $EP --seed 0
+  for nd in 1 4 16; do
+    run "A_trainedA_nd${nd}_s0" --mode sdil --learn_A 1 --pert_ndirs $nd --depth 3 --width 256 --epochs $EP --seed 0
+  done
+fi
+
+# ---------------- Wave B: full grid, all seeds ------------------------------
+if [ "$WAVE" = "B" ] || [ "$WAVE" = "all" ]; then
+  for s in $SEEDS; do
+    # E1 main comparison + fashion-mnist
+    for m in bp dfa sdil; do
+      run "main_${m}_mnist_s${s}"  --mode $m --dataset mnist  --depth 3 --width 256 --epochs $EP --seed $s
+      run "main_${m}_fmnist_s${s}" --mode $m --dataset fmnist --depth 3 --width 256 --epochs $EP --seed $s
+    done
+    # E2 residualization x nuisance
+    for rho in 0 1 2 4 8; do
+      for ur in 0 1; do
+        run "nuis_rho${rho}_res${ur}_s${s}" --mode sdil --nuis_rho $rho --use_residual $ur \
+            --depth 3 --width 256 --epochs $EP --seed $s
+      done
+    done
+    # E3 trained vs fixed A, perturbation directions
+    run "abl_fixedA_s${s}" --mode sdil --learn_A 0 --depth 3 --width 256 --epochs $EP --seed $s
+    for nd in 1 4 16; do
+      run "abl_trainedA_nd${nd}_s${s}" --mode sdil --learn_A 1 --pert_ndirs $nd --depth 3 --width 256 --epochs $EP --seed $s
+    done
+    # E4 depth scaling
+    for d in 1 2 3 5 7; do
+      for m in bp dfa sdil; do
+        run "depth_${m}_d${d}_s${s}" --mode $m --depth $d --width 256 --epochs $EP --seed $s
+      done
+    done
+    # E5 feedback type + online apical control
+    for fb in error error_deriv; do
+      for ss in 0 5; do
+        run "ctrl_fb${fb}_settle${ss}_s${s}" --mode sdil --feedback $fb --settle_steps $ss \
+            --kappa 0.3 --depth 3 --width 256 --epochs $EP --seed $s
+      done
+    done
+    # E6 predictor timescale (rho=2 so P matters); neutral vs task-period update
+    for neu in 0 1; do
+      for ep in 0.0005 0.002 0.01; do
+        run "pred_neu${neu}_etaP${ep}_s${s}" --mode sdil --nuis_rho 2 --learn_P 1 \
+            --p_neutral $neu --eta_P $ep --depth 3 --width 256 --epochs $EP --seed $s
+      done
+    done
+  done
+fi
+
+echo "=== battery done wave=$WAVE $(date) ===" >> "$PROG"