#!/bin/bash #SBATCH --partition=gre #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --gres=gpu:4 #SBATCH --time=48:00:00 #SBATCH --job-name=lzh_longtail_search #SBATCH --output=%x-%j.out #SBATCH --mem=256G #SBATCH --cpus-per-task=32 set -euo pipefail PROJECT_ROOT="${PROJECT_ROOT:-/mingli01/project/zihanliu/gpudrive-main}" CONDA_ENV_NAME="${CONDA_ENV_NAME:-gpudrive}" CONFIG_PATH="${CONFIG_PATH:-baselines/ppo/config/ppo_mini_reward_conditioned.yaml}" CHECKPOINT="${CHECKPOINT:-}" DATA_DIR="${DATA_DIR:-/mingli01/data/GPUDrive_mini/training}" OUTPUT_DIR="${OUTPUT_DIR:-longtail_outputs/reward_conditioned_search}" NUM_GPUS="${NUM_GPUS:-4}" NUM_WORLDS="${NUM_WORLDS:-1000}" DATASET_SIZE="${DATASET_SIZE:-864}" NUM_BATCHES="${NUM_BATCHES:-10}" STEPS="${STEPS:-91}" SEED="${SEED:-42}" DETERMINISTIC="${DETERMINISTIC:-0}" RISK_AGENTS_PER_WORLD="${RISK_AGENTS_PER_WORLD:-3}" NORMAL_MODE="${NORMAL_MODE:-policy}" NORMAL_STYLE="${NORMAL_STYLE:-balanced}" RISK_STYLE="${RISK_STYLE:-risk_taker}" RISK_COLLISION_WEIGHT="${RISK_COLLISION_WEIGHT:-0.0}" RISK_GOAL_WEIGHT="${RISK_GOAL_WEIGHT:-2.0}" RISK_OFFROAD_WEIGHT="${RISK_OFFROAD_WEIGHT:--0.4}" NEAR_MISS_THRESHOLD_M="${NEAR_MISS_THRESHOLD_M:-2.0}" SAVE_OFFROAD="${SAVE_OFFROAD:-0}" OBS_RADIUS="${OBS_RADIUS:-}" POLYLINE_REDUCTION_THRESHOLD="${POLYLINE_REDUCTION_THRESHOLD:-}" SUMMARY_TOP_K="${SUMMARY_TOP_K:-100}" SAVE_EVENT_TRACES="${SAVE_EVENT_TRACES:-1}" TRACE_PRE_STEPS="${TRACE_PRE_STEPS:-50}" TRACE_POST_STEPS="${TRACE_POST_STEPS:-10}" TRACE_INCLUDE_ALL_AGENTS="${TRACE_INCLUDE_ALL_AGENTS:-1}" TRACE_TOP_K_AGENTS="${TRACE_TOP_K_AGENTS:-16}" TRACE_MAP_RADIUS_M="${TRACE_MAP_RADIUS_M:-80.0}" TRACE_MAP_TOP_K="${TRACE_MAP_TOP_K:-256}" TRACE_DT="${TRACE_DT:-0.1}" module load conda/3 source "$(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="${MKL_NUM_THREADS:-1}" export MADRONA_MWGPU_KERNEL_CACHE="${MADRONA_MWGPU_KERNEL_CACHE:-${PROJECT_ROOT}/gpudrive_cache}" cd "${PROJECT_ROOT}" export PYTHONPATH="${PROJECT_ROOT}:${PYTHONPATH:-}" if [[ ! -f "${CONFIG_PATH}" ]]; then echo "ERROR: config not found: ${CONFIG_PATH}" exit 1 fi if [[ ! -d "${DATA_DIR}" ]]; then echo "ERROR: DATA_DIR does not exist: ${DATA_DIR}" exit 1 fi if ! compgen -G "${DATA_DIR}/tfrecord*.json" >/dev/null; then echo "ERROR: no tfrecord*.json files found under DATA_DIR=${DATA_DIR}" exit 1 fi mkdir -p "${OUTPUT_DIR}/logs" echo "SLURM_JOB_ID=${SLURM_JOB_ID:-unknown}" echo "PROJECT_ROOT=${PROJECT_ROOT}" echo "CONFIG_PATH=${CONFIG_PATH}" echo "CHECKPOINT=${CHECKPOINT:-auto-latest}" echo "DATA_DIR=${DATA_DIR}" echo "OUTPUT_DIR=${OUTPUT_DIR}" echo "NUM_GPUS=${NUM_GPUS}" echo "NUM_WORLDS=${NUM_WORLDS}" echo "DATASET_SIZE=${DATASET_SIZE}" echo "NUM_BATCHES=${NUM_BATCHES}" echo "STEPS=${STEPS}" echo "RISK_AGENTS_PER_WORLD=${RISK_AGENTS_PER_WORLD}" echo "NORMAL_MODE=${NORMAL_MODE}" echo "RISK_COLLISION_WEIGHT=${RISK_COLLISION_WEIGHT}" echo "RISK_GOAL_WEIGHT=${RISK_GOAL_WEIGHT}" echo "RISK_OFFROAD_WEIGHT=${RISK_OFFROAD_WEIGHT}" echo "NEAR_MISS_THRESHOLD_M=${NEAR_MISS_THRESHOLD_M}" echo "SAVE_EVENT_TRACES=${SAVE_EVENT_TRACES}" echo "TRACE_PRE_STEPS=${TRACE_PRE_STEPS}" echo "TRACE_POST_STEPS=${TRACE_POST_STEPS}" echo "TRACE_INCLUDE_ALL_AGENTS=${TRACE_INCLUDE_ALL_AGENTS}" echo "TRACE_MAP_RADIUS_M=${TRACE_MAP_RADIUS_M}" echo "CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-unset}" if command -v nvidia-smi >/dev/null 2>&1; then nvidia-smi -L || true fi IFS=',' read -r -a GPU_IDS <<< "${CUDA_VISIBLE_DEVICES:-0,1,2,3}" for SHARD_ID in $(seq 0 $((NUM_GPUS - 1))); do GPU_ID="${GPU_IDS[$SHARD_ID]:-${SHARD_ID}}" CMD=( python -u scripts/search_longtail_reward_conditioned.py --config "${CONFIG_PATH}" --data-dir "${DATA_DIR}" --output-dir "${OUTPUT_DIR}" --num-worlds "${NUM_WORLDS}" --dataset-size "${DATASET_SIZE}" --num-batches "${NUM_BATCHES}" --steps "${STEPS}" --seed "${SEED}" --shard-id "${SHARD_ID}" --num-shards "${NUM_GPUS}" --deterministic "${DETERMINISTIC}" --risk-agents-per-world "${RISK_AGENTS_PER_WORLD}" --normal-mode "${NORMAL_MODE}" --normal-style "${NORMAL_STYLE}" --risk-style "${RISK_STYLE}" --risk-collision-weight "${RISK_COLLISION_WEIGHT}" --risk-goal-weight "${RISK_GOAL_WEIGHT}" --risk-offroad-weight "${RISK_OFFROAD_WEIGHT}" --near-miss-threshold-m "${NEAR_MISS_THRESHOLD_M}" --save-offroad "${SAVE_OFFROAD}" --save-event-traces "${SAVE_EVENT_TRACES}" --trace-pre-steps "${TRACE_PRE_STEPS}" --trace-post-steps "${TRACE_POST_STEPS}" --trace-include-all-agents "${TRACE_INCLUDE_ALL_AGENTS}" --trace-top-k-agents "${TRACE_TOP_K_AGENTS}" --trace-map-radius-m "${TRACE_MAP_RADIUS_M}" --trace-map-top-k "${TRACE_MAP_TOP_K}" --trace-dt "${TRACE_DT}" ) if [[ -n "${CHECKPOINT}" ]]; then CMD+=(--checkpoint "${CHECKPOINT}") fi if [[ -n "${OBS_RADIUS}" ]]; then CMD+=(--obs-radius "${OBS_RADIUS}") fi if [[ -n "${POLYLINE_REDUCTION_THRESHOLD}" ]]; then CMD+=(--polyline-reduction-threshold "${POLYLINE_REDUCTION_THRESHOLD}") fi echo "Launching shard ${SHARD_ID} on CUDA_VISIBLE_DEVICES=${GPU_ID}: ${CMD[*]}" CUDA_VISIBLE_DEVICES="${GPU_ID}" "${CMD[@]}" \ > "${OUTPUT_DIR}/logs/shard_${SHARD_ID}.out" \ 2> "${OUTPUT_DIR}/logs/shard_${SHARD_ID}.err" & done wait echo "All shards finished. Summaries:" find "${OUTPUT_DIR}" -path "*/summary.json" -print echo "Shard progress logs:" find "${OUTPUT_DIR}/logs" -name "shard_*.out" -print python -u scripts/summarize_longtail_search.py \ --search-dir "${OUTPUT_DIR}" \ --top-k "${SUMMARY_TOP_K}"