#!/bin/bash #SBATCH --partition=gre #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --time=01:00:00 #SBATCH --job-name=gpudrive_mlp_opt #SBATCH --output=%x-%j.out #SBATCH --mem=32G #SBATCH --cpus-per-task=4 set -euo pipefail PROJECT_ROOT="${PROJECT_ROOT:-/mingli01/project/zihanliu/gpudrive-main}" CONDA_ENV_NAME="${CONDA_ENV_NAME:-gpudrive}" METRICS_GLOB="${METRICS_GLOB:-search_outputs/evaluator_agent/**/optimizer_metrics.json}" OUTPUT_DIR="${OUTPUT_DIR:-search_outputs/optimizer_agent/mlp_next}" TOP_K="${TOP_K:-8}" EXPLORE_K="${EXPLORE_K:-4}" ALLOW_REPEAT="${ALLOW_REPEAT:-0}" SEED="${SEED:-42}" HIDDEN_DIM="${HIDDEN_DIM:-64}" EPOCHS="${EPOCHS:-1200}" LR="${LR:-0.001}" WEIGHT_DECAY="${WEIGHT_DECAY:-0.0001}" MIN_TRAIN_SAMPLES="${MIN_TRAIN_SAMPLES:-6}" EXPLORATION_WEIGHT="${EXPLORATION_WEIGHT:-0.12}" CANDIDATE_GRID_JSON="${CANDIDATE_GRID_JSON:-}" module load conda/3 source "$(conda info --base)/etc/profile.d/conda.sh" conda activate "${CONDA_ENV_NAME}" export PYTHONNOUSERSITE=1 export PYTHONUNBUFFERED=1 export OMP_NUM_THREADS="${OMP_NUM_THREADS:-1}" export MKL_NUM_THREADS="${MKL_NUM_THREADS:-1}" cd "${PROJECT_ROOT}" export PYTHONPATH="${PROJECT_ROOT}:${PYTHONPATH:-}" mkdir -p "${OUTPUT_DIR}" echo "SLURM_JOB_ID=${SLURM_JOB_ID:-unknown}" echo "PROJECT_ROOT=${PROJECT_ROOT}" echo "METRICS_GLOB=${METRICS_GLOB}" echo "OUTPUT_DIR=${OUTPUT_DIR}" echo "TOP_K=${TOP_K}" echo "EXPLORE_K=${EXPLORE_K}" echo "MIN_TRAIN_SAMPLES=${MIN_TRAIN_SAMPLES}" CMD=( python -u search/optimizer_agent_mlp.py --metrics-glob "${METRICS_GLOB}" --output-dir "${OUTPUT_DIR}" --top-k "${TOP_K}" --explore-k "${EXPLORE_K}" --allow-repeat "${ALLOW_REPEAT}" --seed "${SEED}" --hidden-dim "${HIDDEN_DIM}" --epochs "${EPOCHS}" --lr "${LR}" --weight-decay "${WEIGHT_DECAY}" --min-train-samples "${MIN_TRAIN_SAMPLES}" --exploration-weight "${EXPLORATION_WEIGHT}" ) if [[ -n "${CANDIDATE_GRID_JSON}" ]]; then CMD+=(--candidate-grid-json "${CANDIDATE_GRID_JSON}") fi "${CMD[@]}" echo "Optimizer Agent finished." echo "Outputs:" find "${OUTPUT_DIR}" -maxdepth 1 -type f | sort