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#!/usr/bin/env bash
# Development-only validation sweep for endogenous non-teaching apical traffic.
# No test-set metric is emitted. Freeze a protocol before creating test results.
#
# Usage:
# traffic_validation_sweep.sh <gpu> [dataset] [families] [scales] [signals] [seeds]
# Example:
# traffic_validation_sweep.sh 5 mnist "soma topdown" "0 0.2 0.5" \
# "raw matched residual taskfit" "0 1"
set -eu
cd "$(dirname "$0")/.."
GPU="${1:?GPU index required}"
DATASET="${2:-mnist}"
FAMILIES="${3:-soma topdown}"
SCALES="${4:-0 0.2 0.5}"
SIGNALS="${5:-raw matched residual taskfit}"
SEEDS="${6:-0}"
PYTHON="${PYTHON:-/home/yurenh2/miniconda3/envs/ep_pascal/bin/python3}"
for seed in $SEEDS; do
for family in $FAMILIES; do
for scale in $SCALES; do
# The zero-traffic condition is family-independent.
if [ "$scale" = "0" ] && [ "$family" != "soma" ]; then
continue
fi
scale_tag="${scale//./p}"
for signal in $SIGNALS; do
use_residual=1
raw_control=none
p_neutral=1
case "$signal" in
raw)
use_residual=0
;;
matched)
use_residual=0
raw_control=match_innovation_norm
;;
residual)
;;
taskfit)
p_neutral=0
;;
*)
echo "unknown signal control: $signal" >&2
exit 2
;;
esac
tag="traffic_dev_v1_${DATASET}_${family}_rho${scale_tag}_${signal}_d3_s${seed}"
out="results/${tag}.json"
if [ -s "$out" ]; then
echo "[$tag] exists; skipping"
continue
fi
CUDA_VISIBLE_DEVICES="$GPU" "$PYTHON" experiments/run.py \
--mode sdil --dataset "$DATASET" --device cuda \
--depth 3 --width 256 --residual 1 --act tanh \
--epochs 15 --batch_size 128 --eta 0.05 --momentum 0.9 \
--eta_A 0.02 --eta_P 0.002 \
--pert_sigma 0.01 --pert_every 4 --pert_ndirs 16 \
--pert_mode simultaneous \
--traffic_mode "$family" --nuis_rho "$scale" \
--use_residual "$use_residual" --raw_scale_control "$raw_control" \
--learn_A 1 --learn_P 1 --p_neutral "$p_neutral" \
--p_warmup_steps 200 --p_warmup_eta 0.05 \
--val_examples 5000 --split_seed 2027 --eval_split validation \
--diagnostics alignment --seed "$seed" --log_every 100 --tag "$tag"
done
done
done
done
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