experiments/slurm/run_exp1_fusion.sh

#!/bin/bash
# Submit all fusion experiments as individual 1-GPU SLURM jobs
# SLURM scheduler will automatically place them on any available GPU

PYTHON=python
SCRIPT=${PULSE_ROOT}/experiments/train_exp1.py
OUTDIR=${PULSE_ROOT}/results/exp1
LOGDIR=${OUTDIR}/slurm_logs
mkdir -p $LOGDIR

COMMON_ARGS="--model transformer --epochs 100 --batch_size 16 --lr 1e-3 --weight_decay 1e-4 --hidden_dim 128 --downsample 5 --patience 15 --seed 42 --output_dir $OUTDIR"

FUSIONS=(weighted_late gated_late stacking product moe late attention)
MODALITIES=("mocap,emg,eyetrack" "mocap,emg,eyetrack,imu,pressure")

for fusion in "${FUSIONS[@]}"; do
    for mods in "${MODALITIES[@]}"; do
        mod_tag=$(echo $mods | tr ',' '-')
        job_name="f_${fusion}_${mod_tag}"
        sbatch \
            -J "$job_name" \
            -p gpuA800 \
            --gres=gpu:1 \
            -N 1 -n 1 \
            --cpus-per-task=8 \
            --mem=32G \
            -t 3:00:00 \
            -o "${LOGDIR}/${job_name}_%j.out" \
            -e "${LOGDIR}/${job_name}_%j.err" \
            --export=ALL \
            --wrap="export PYTHONUNBUFFERED=1; cd ${PULSE_ROOT}; $PYTHON $SCRIPT --fusion $fusion --modalities $mods $COMMON_ARGS"
        echo "Submitted: $job_name"
    done
done

echo "All 14 fusion experiments submitted!"