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#!/usr/bin/env bash
# Harnett-specific residualization ablation with per-neuron affine coupling.
#
# Usage:
# bash experiments/nuisance_sweep.sh <gpu> "<rhos>" "<seeds>" <epochs> <prefix>
#
# Example:
# bash experiments/nuisance_sweep.sh 5 "0 0.5 1 2" "0 1 2" 20 diag_nuis
set -eu
cd "$(dirname "$0")/.."
PY=/home/yurenh2/miniconda3/envs/ep_pascal/bin/python3
GPU="${1:?GPU index required}"
RHOS="${2:-0 0.5 1 2}"
SEEDS="${3:-0}"
EPOCHS="${4:-20}"
PREFIX="${5:-diag_nuis}"
export CUDA_VISIBLE_DEVICES="$GPU"
export OMP_NUM_THREADS=2
mkdir -p results logs/nuisance
run_one() {
local rho="$1"
local residual="$2"
local seed="$3"
local rho_tag="${rho//./p}"
local tag="${PREFIX}_rho${rho_tag}_res${residual}_s${seed}"
local result="results/${tag}.json"
local log="logs/nuisance/${tag}.log"
if [[ -f "$result" ]]; then
echo "skip $tag (result exists)"
return
fi
echo ">>> $tag $(date --iso-8601=seconds) gpu=$GPU"
"$PY" experiments/run.py \
--mode sdil --dataset mnist --depth 3 --width 256 --epochs "$EPOCHS" \
--seed "$seed" --nuis_rho "$rho" --use_residual "$residual" \
--predictor_mode diagonal --p_warmup_steps 200 --p_warmup_eta 0.05 \
--pert_ndirs 8 --log_every 100 --tag "$tag" --outdir results \
> "$log" 2>&1
grep -h DONE "$log"
}
for seed in $SEEDS; do
for rho in $RHOS; do
for residual in 0 1; do
run_one "$rho" "$residual" "$seed"
done
done
done
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