#!/usr/bin/env bash
set -euo pipefail
PROJECT_DIR=/data/DAIDASEN/ViSA/CAVI-ReID
PYTHON_BIN=/data/conda/cavi_clip/bin/python
CHECKPOINT="$PROJECT_DIR/logs/CARGO/CLIP_CAVI_JOINT_60E_B64_V2/model_final.pth"
OUTPUT_DIR="$PROJECT_DIR/logs/CARGO/CLIP_CAVI_FINAL_EVAL"
mkdir -p "$OUTPUT_DIR"
echo "$(date -Is) waiting for final checkpoint and available GPU" >> "$PROJECT_DIR/logs/CARGO/clip_cavi_final_eval_launcher.log"
while [[ ! -s "$CHECKPOINT" ]]; do sleep 15; done
while true; do
  selected_gpu=""
  for gpu in 0 2 3 4 5; do
    used_mib=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i "$gpu" | tr -d ' ')
    if [[ "$used_mib" =~ ^[0-9]+$ ]] && (( used_mib < 2000 )); then selected_gpu="$gpu"; break; fi
  done
  [[ -n "$selected_gpu" ]] && break
  sleep 30
done
echo "$(date -Is) starting final CAVI evaluation on GPU $selected_gpu" >> "$PROJECT_DIR/logs/CARGO/clip_cavi_final_eval_launcher.log"
cd "$PROJECT_DIR"
export PATH=/data/conda/cavi_clip/bin:$PATH
export CUDA_VISIBLE_DEVICES="$selected_gpu"
export FASTREID_DATASETS=/data/DAIDASEN/datasets
exec "$PYTHON_BIN" baselines/hihr/train.py \
  --eval-only \
  --checkpoint "$CHECKPOINT" \
  --clip-model /data/DAIDASEN/models/clip-vit-base-patch16 \
  --config-file configs/CARGO/clip_cavi.yml \
  --output-dir "$OUTPUT_DIR" \
  --device cuda:0 \
  >> "$OUTPUT_DIR/eval.log" 2>&1