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#!/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 "============================================================"
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