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#!/usr/bin/env bash
set -euo pipefail
ROOT=/home/yurenh2/sdil
AUTHOR=/scratch/yurenh2/energy-based-learning
PYTHON=/scratch/yurenh2/venvs/burstccn/bin/python
OUT="$ROOT/results/ep_bias/dillavou_c0"
mkdir -p "$OUT"
cd "$AUTHOR"
run_cell() {
local gpu=$1
local tag=$2
local beta_policy=$3
local mode=$4
CUBLAS_WORKSPACE_CONFIG=:4096:8 CUDA_VISIBLE_DEVICES="$gpu" "$PYTHON" \
"$ROOT/experiments/rain_ep_bias_train.py" \
--author-root "$AUTHOR" --device cuda \
--adapter dillavou --network-protocol comparative32 \
--beta-policy "$beta_policy" --beta-value 0.25 \
--mode "$mode" --bias-ratio 1 \
--dillavou-drift-ratio 0 --predictor-rate 1 \
--dillavou-calibration-steps 1 --neutral-cadence 0 \
--epochs 10 --schedule-epochs 100 \
--train-limit 60000 --test-limit 10000 --batch-size 128 \
--training-iterations 15 --inference-iterations 60 \
--evaluation-split test --data-seed 6200 \
--seed 1988 --beta-seed 7100 --deterministic \
--output "$OUT/$tag.json" > "$OUT/$tag.log" 2>&1
}
run_cell 0 pep_clean fixed_positive clean &
run_cell 1 pep_raw fixed_positive raw &
run_cell 2 pep_constant fixed_positive constant &
run_cell 3 pep_sdil fixed_positive innovation &
run_cell 4 random_clean random_sign clean &
run_cell 5 random_raw random_sign raw &
run_cell 6 centered_clean centered clean &
run_cell 7 centered_raw centered raw &
wait
"$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] = {
"trajectory": [
{
"epoch": row["epoch"],
"test_accuracy": row["test_accuracy"],
"test_cost": row["test_cost"],
"finite": row["finite"],
}
for row in report["metrics"]
],
"final": report["final"],
}
(root / "summary.json").write_text(json.dumps(summary, indent=2) + "\n")
print(json.dumps(summary, indent=2))
PY
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