| #!/bin/bash |
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| set -u |
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| LEARN=/datadrive/ayush/home/minimoX/learning |
| cd "$LEARN" || exit 1 |
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| source "$(conda info --base)/etc/profile.d/conda.sh" |
| conda activate minimo_new |
| export WANDB_MODE=offline |
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| TRAIN_BASE=$LEARN/experiments/learnability/train_policy_only_gold |
| BF_EVAL=$LEARN/experiments/learnability/bestfirst_eval_gold |
| mkdir -p "$BF_EVAL" |
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| PROBLEMSET=extrinsic-95 |
| BF_MAXPOPS=4000 |
| BF_WORKERS=6 |
| BF_TIMEOUT=600 |
| GPUS=(0 1 2 3) |
| NGPU=${#GPUS[@]} |
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| LOG=$BF_EVAL/eval_driver.log |
| ts() { date +"%Y-%m-%d %H:%M:%S"; } |
| log() { echo "[$(ts)] $*" | tee -a "$LOG"; } |
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| E_CKPT=(); E_JSON=(); E_LOG=(); E_LABEL=() |
| add_eval() { E_CKPT+=("$1"); E_JSON+=("$2"); E_LOG+=("$3"); E_LABEL+=("$4"); } |
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| for CKPT_NAME in epoch_2.pt epoch_1.pt; do |
| TAG=$([[ $CKPT_NAME == epoch_2.pt ]] && echo final || echo mid) |
| while IFS= read -r ckpt; do |
| [[ -z "$ckpt" ]] && continue |
| ckpt=$(realpath "$ckpt") |
| label=$(echo "$ckpt" | sed "s#.*train_policy_only_gold/##; s#/updates.*##") |
| add_eval "$ckpt" \ |
| "$(dirname "$ckpt")/bf_${PROBLEMSET}_${TAG}.json" \ |
| "$(dirname "$ckpt")/bf_${PROBLEMSET}_${TAG}.log" \ |
| "$TAG/$label" |
| done < <(find "$TRAIN_BASE" -name "$CKPT_NAME" -path "*updates_*" 2>/dev/null | sort) |
| done |
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| NJOBS=${#E_CKPT[@]} |
| log "===== START: $NJOBS gold best-first evals (max_pops=${BF_MAXPOPS} timeout=${BF_TIMEOUT}s) on GPUs ${GPUS[*]} =====" |
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| k=0 |
| for ((j=0; j<NJOBS; j++)); do |
| gpu=${GPUS[$((k % NGPU))]} |
| log "EVAL [$k/$NJOBS] ${E_LABEL[$j]} -> gpu $gpu" |
| ( |
| CUDA_VISIBLE_DEVICES=$gpu python -u bestfirst_search.py \ |
| --agent "${E_CKPT[$j]}" \ |
| --problemset "$PROBLEMSET" \ |
| --max-pops "$BF_MAXPOPS" \ |
| --workers "$BF_WORKERS" \ |
| --timeout "$BF_TIMEOUT" \ |
| --output "${E_JSON[$j]}" \ |
| > "${E_LOG[$j]}" 2>&1 |
| echo "[$(ts)] EVAL DONE ${E_LABEL[$j]}" >> "$LOG" |
| ) & |
| k=$((k + 1)) |
| if (( k % NGPU == 0 )); then wait; fi |
| done |
| wait |
| log "--- All gold best-first evals complete ---" |
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| for f in $(find "$TRAIN_BASE" -name "bf_${PROBLEMSET}_*.json" 2>/dev/null | sort); do |
| python -c "import json;d=json.load(open('$f'));print(d['num_solved'],'/',d['num_problems'],'$f')" 2>/dev/null | tee -a "$LOG" |
| done |
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