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cb5f642 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | #!/bin/bash
# Launch 8 parallel eval workers, one per A100.
# Each loads a full model copy (~16GB BF16) and processes its shard of parquet files.
# Supports resume: safe to re-run if interrupted.
set -e
PYTHON=/mlx/users/jiashuo.fan/miniconda3/envs/abbie/bin/python3
CKPT=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat/checkpoint-1700/hf_model
DATA_DIR=/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat
OUT_PREFIX=/mnt/bn/bohanzhainas1/jiashuo/exp/eval_ckpt1700_full
LOG_DIR=/mlx/users/jiashuo.fan/playground/inference/logs
mkdir -p "$LOG_DIR"
echo "Launching 8 eval workers (full dataset, optimized)..."
PIDS=()
for GPU_ID in 0 1 2 3 4 5 6 7; do
LOG="${LOG_DIR}/eval_gpu${GPU_ID}.log"
CUDA_VISIBLE_DEVICES=$GPU_ID $PYTHON -u \
/mlx/users/jiashuo.fan/playground/inference/eval.py \
--model-path "$CKPT" \
--data-dir "$DATA_DIR" \
--gpu-id $GPU_ID \
--shard-id $GPU_ID \
--num-shards 8 \
--output "$OUT_PREFIX" \
>> "$LOG" 2>&1 &
PIDS+=($!)
echo " GPU $GPU_ID → PID $! → $LOG"
done
echo ""
echo "Watch progress: tail -f ${LOG_DIR}/eval_gpu*.log"
echo "Quick status: tail -1 ${LOG_DIR}/eval_gpu*.log"
echo ""
ALL_OK=true
for i in "${!PIDS[@]}"; do
wait "${PIDS[$i]}"
CODE=$?
GPU=$i
if [ $CODE -ne 0 ]; then
echo "GPU $GPU FAILED (exit $CODE) — check ${LOG_DIR}/eval_gpu${GPU}.log"
ALL_OK=false
else
echo "GPU $GPU done ✓"
fi
done
if $ALL_OK; then
echo ""
echo "Merging shards..."
$PYTHON -u /mlx/users/jiashuo.fan/playground/inference/merge_results.py \
--prefix "$OUT_PREFIX" \
--num-shards 8
fi
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