rae-fm-generation-pipeline / code /RAEv2 /launch_sample_parallel.sh
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#!/bin/bash
source /root/miniconda3/etc/profile.d/conda.sh && conda activate rae_v2
export https_proxy=http://10.140.15.68:3128 http_proxy=http://10.140.15.68:3128 HF_DATASETS_CACHE=/data/temp/qinshengqian/c3/hf_cache
export DINOV3_CKPT_DIR=/data/temp/qinshengqian/c3 DINOV3_REPO_DIR=/data/temp/qinshengqian/c3/dinov3 PYTHONPATH=src PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
cd /data/temp/qinshengqian/c3/Code/RAEv2
for p in $(ps -eo pid,args | grep "sample_perclass.py" | grep -v grep | awk '{print $1}'); do kill -9 $p 2>/dev/null; done
sleep 3
OUT=/data/temp/qinshengqian/c3/aug_synth_dinov3raev2; rm -rf $OUT; mkdir -p $OUT
CFG=configs/stage2/sampling/ISIC/dinov3l-k23.yaml
CLS=(AK BCC BKL DF MEL NV SCC VASC)
for i in ${!CLS[@]}; do
c=${CLS[$i]}
CUDA_VISIBLE_DEVICES=$i setsid python sample_perclass.py $CFG $OUT 2000 80 $c $c > results/logs/sample_$c.log 2>&1 &
done
wait
echo "ALL_SAMPLE_DONE $(date '+%T')"
head -1 $OUT/synth_AK.csv > $OUT/synth.csv
for c in ${CLS[@]}; do tail -n +2 $OUT/synth_$c.csv >> $OUT/synth.csv 2>/dev/null; done
echo "MERGED rows=$(($(wc -l < $OUT/synth.csv)-1))"
touch $OUT/SAMPLE_ALL_DONE