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#!/usr/bin/env bash
# Near-parameter-matched comparison against the canonical d1/w500 EP run.
# All methods see the same first 50k MNIST training examples for 25 epochs.
# Usage: ep_matched_sweep.sh <gpu> "<methods>" "<seeds>" [prefix]
set -eu
cd "$(dirname "$0")/.."
PY=/home/yurenh2/miniconda3/envs/ep_pascal/bin/python3
GPU="${1:?GPU index required}"
METHODS="${2:-bp dfa sdil}"
SEEDS="${3:-0}"
PREFIX="${4:-ep_match_v1}"
export CUDA_VISIBLE_DEVICES="$GPU"
export OMP_NUM_THREADS=2
mkdir -p results logs/baselines
for seed in $SEEDS; do
for method in $METHODS; do
tag="${PREFIX}_mnist_${method}_w256_d3_s${seed}"
result="results/${tag}.json"
log="logs/baselines/${tag}.log"
if [[ -f "$result" ]]; then
echo "skip $tag (result exists)"
continue
fi
echo ">>> $tag $(date --iso-8601=seconds) gpu=$GPU"
"$PY" experiments/run.py \
--mode "$method" --dataset mnist --depth 3 --width 256 \
--epochs 25 --batch_size 128 --train_examples 50000 \
--eta 0.05 --eta_A 0.02 --eta_P 0.002 --momentum 0.9 \
--pert_every 4 --pert_ndirs 16 --pert_mode simultaneous \
--nuis_rho 0 --residual 0 --act tanh --seed "$seed" \
--tag "$tag" --outdir results > "$log" 2>&1
grep -h DONE "$log"
done
done
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