1 files changed, 66 insertions, 0 deletions
diff --git a/experiments/rain_ep_centered_r1.sh b/experiments/rain_ep_centered_r1.sh
new file mode 100755
index 0000000..7f4af27
--- /dev/null
+++ b/experiments/rain_ep_centered_r1.sh
@@ -0,0 +1,66 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT=/home/yurenh2/sdil
+AUTHOR=/scratch/yurenh2/energy-based-learning
+PYTHON=/scratch/yurenh2/venvs/burstccn/bin/python
+PROFILE="$ROOT/results/physical_bias/p0_state_dependence.json"
+OUT="$ROOT/results/ep_bias/centered_r1"
+mkdir -p "$OUT"
+cd "$AUTHOR"
+
+run_cell() {
+  local gpu=$1
+  local tag=$2
+  local mode=$3
+  local cadence=$4
+  local profile=$5
+  local profile_args=()
+  if [ "$profile" = released ]; then
+    profile_args=(--dillavou-profile-json "$PROFILE")
+  fi
+  CUBLAS_WORKSPACE_CONFIG=:4096:8 CUDA_VISIBLE_DEVICES="$gpu" "$PYTHON" \
+    "$ROOT/experiments/rain_ep_bias_train.py" \
+    --author-root "$AUTHOR" --device cuda \
+    --adapter dillavou --network-protocol comparative32 \
+    --beta-policy centered --beta-value 0.25 \
+    --mode "$mode" --bias-ratio 1 --dillavou-drift-ratio 0 \
+    "${profile_args[@]}" --predictor-rate 1 \
+    --dillavou-calibration-steps 1 --neutral-cadence "$cadence" \
+    --epochs 1 --schedule-epochs 100 \
+    --train-limit 10000 --test-limit 2000 --batch-size 128 \
+    --training-iterations 15 --inference-iterations 60 \
+    --evaluation-split train_holdout --data-seed 6200 \
+    --seed 1988 --beta-seed 7100 --deterministic \
+    --output "$OUT/$tag.json" > "$OUT/$tag.log" 2>&1
+}
+
+run_cell 0 centered_clean clean 0 constant &
+run_cell 1 fixed_raw raw 0 constant &
+run_cell 2 fixed_intercept constant 0 constant &
+run_cell 3 fixed_sdil innovation 0 constant &
+run_cell 4 profile_raw raw 0 released &
+run_cell 5 profile_intercept_c10 constant 10 released &
+run_cell 6 profile_sdil_c10 innovation 10 released &
+run_cell 7 profile_oracle oracle 0 released &
+wait
+
+"$PYTHON" - "$OUT" <<'PY'
+import json
+from pathlib import Path
+import sys
+
+root = Path(sys.argv[1])
+summary = {}
+for path in sorted(root.glob("*.json")):
+    if path.name == "summary.json":
+        continue
+    report = json.loads(path.read_text())
+    summary[path.stem] = {
+        "holdout_accuracy": report["final"]["test_accuracy"],
+        "finite": report["final"]["finite"],
+        "wall_seconds": report["final"]["wall_seconds"],
+    }
+(root / "summary.json").write_text(json.dumps(summary, indent=2) + "\n")
+print(json.dumps(summary, indent=2))
+PY