#!/bin/bash
#SBATCH --job-name=snn_depth_shd
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuA40x4
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=8
#SBATCH --gpus-per-node=1
#SBATCH --mem=64G
#SBATCH --time=04:00:00
#SBATCH --output=runs/slurm_logs/%j_depth_shd.out
#SBATCH --error=runs/slurm_logs/%j_depth_shd.err

# ============================================================
# Depth Comparison Experiment with SHD Dataset
# ============================================================
# Full experiment with real neuromorphic data (Spiking Heidelberg Digits)
#
# Usage:
#   sbatch scripts/run_depth_experiment_shd.sbatch
# ============================================================

set -e

EPOCHS=${EPOCHS:-50}
DEPTHS=${DEPTHS:-"1 2 3 4 6 8"}
HIDDEN_DIM=${HIDDEN_DIM:-256}
LAMBDA_REG=${LAMBDA_REG:-0.1}
LR=${LR:-0.001}
SEED=${SEED:-42}

PROJECT_DIR="/projects/bfqt/users/yurenh2/ml-projects/snn-training"
cd "$PROJECT_DIR"

mkdir -p runs/slurm_logs

echo "============================================================"
echo "SHD Depth Comparison Experiment"
echo "Job ID: $SLURM_JOB_ID | Node: $SLURM_NODELIST"
echo "Start: $(date)"
echo "============================================================"
nvidia-smi --query-gpu=name,memory.total --format=csv,noheader
echo "============================================================"

python files/experiments/depth_comparison.py \
    --epochs $EPOCHS \
    --depths $DEPTHS \
    --hidden_dim $HIDDEN_DIM \
    --lambda_reg $LAMBDA_REG \
    --lr $LR \
    --seed $SEED \
    --cfg data_io/configs/shd.yaml \
    --out_dir runs/depth_comparison_shd \
    --device cuda

# Generate plots
LATEST_RUN=$(ls -td runs/depth_comparison_shd/*/ 2>/dev/null | head -1)
if [ -n "$LATEST_RUN" ]; then
    echo "Generating plots..."
    python files/experiments/plot_depth_comparison.py --results_dir "$LATEST_RUN"
fi

echo "============================================================"
echo "Finished: $(date)"
echo "============================================================"