Download gpudrive-main/scripts/optimizer_agent_mlp.sbatch from lzhts1/FromSim2Real: direct link, hf CLI and curl.
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- Download file 2.09 kB
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https://huggingface.co/datasets/lzhts1/FromSim2Real/resolve/main/gpudrive-main/scripts/optimizer_agent_mlp.sbatch
- Command line
-
hf download hf://datasets/lzhts1/FromSim2Real/gpudrive-main/scripts/optimizer_agent_mlp.sbatch
-
curl -L -o optimizer_agent_mlp.sbatch https://huggingface.co/datasets/lzhts1/FromSim2Real/resolve/main/gpudrive-main/scripts/optimizer_agent_mlp.sbatch
2.09 kB
| #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 | |