1 files changed, 38 insertions, 0 deletions
diff --git a/experiments/ep_archmatch_sweep.sh b/experiments/ep_archmatch_sweep.sh
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+++ b/experiments/ep_archmatch_sweep.sh
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+#!/usr/bin/env bash
+# Exact forward-architecture comparison against canonical d1/w500 EP.
+# All methods use 784-500-10, the first 50k MNIST training examples, and
+# 25 epochs. Feedforward methods retain their native z-score/tanh protocol.
+# Usage: ep_archmatch_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="${4:-ep_archmatch_v1}"
+
+export CUDA_VISIBLE_DEVICES="$GPU"
+export OMP_NUM_THREADS=2
+mkdir -p results logs/baselines
+
+for seed in $SEEDS; do
+  for method in $METHODS; do
+    tag="${PREFIX}_mnist_${method}_w500_d1_s${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 1 --width 500 \
+      --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