| set -euo pipefail | |
| PROJECT_DIR=/data/DAIDASEN/ViSA/CAVI-ReID | |
| PYTHON_BIN=/data/conda/cavi_clip/bin/python | |
| OUTPUT_DIR="$PROJECT_DIR/logs/CARGO/CLIP_CAVI_JOINT_60E_B64_GPU2" | |
| LAUNCH_LOG="$PROJECT_DIR/logs/CARGO/clip_cavi_gpu2_launcher.log" | |
| mkdir -p "$OUTPUT_DIR" "$(dirname "$LAUNCH_LOG")" | |
| echo "$(date -Is) waiting for physical GPU 2" >> "$LAUNCH_LOG" | |
| while true; do | |
| used_mib=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 2 | tr -d ' ') | |
| if [[ "$used_mib" =~ ^[0-9]+$ ]] && (( used_mib < 2000 )); then | |
| break | |
| fi | |
| sleep 30 | |
| done | |
| echo "$(date -Is) GPU 2 available; starting CLIP+CAVI" >> "$LAUNCH_LOG" | |
| cd "$PROJECT_DIR" | |
| export CUDA_VISIBLE_DEVICES=2 | |
| exec "$PYTHON_BIN" baselines/hihr/train.py \ | |
| --cavi-clip \ | |
| --cavi-moe \ | |
| --clip-model /data/DAIDASEN/models/clip-vit-base-patch16 \ | |
| --config-file configs/CARGO/clip_cavi.yml \ | |
| --output-dir "$OUTPUT_DIR" \ | |
| --epochs 60 \ | |
| --batch-size 64 \ | |
| --num-workers 0 \ | |
| --device cuda:0 \ | |
| --checkpoint-period 5 \ | |
| --log-period 20 \ | |
| >> "$OUTPUT_DIR/train.log" 2>&1 | |