eval_scripts/eval_da2_sdt_slurm.sh

#!/bin/bash
#SBATCH --job-name=moge-da2-sdt
#SBATCH --output=moge_da2_sdt_%j.log
#SBATCH --error=moge_da2_sdt_%j.log
#SBATCH --open-mode=append
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=4
#SBATCH --gres=gpu:1
#SBATCH --time=1-00:00:00
#SBATCH --mem=40G
#SBATCH --nodelist=erinyes

# 禁用Python输出缓冲
export PYTHONUNBUFFERED=1

# 进入MoGe目录
cd /home/ywan0794/MoGe

# 初始化并激活conda环境
source /home/ywan0794/miniconda3/etc/profile.d/conda.sh

# 激活环境
conda activate da2

# 设置 CUDA 环境变量
export CUDA_HOME=$CONDA_PREFIX
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CONDA_PREFIX/lib/python3.10/site-packages/torch/lib:$LD_LIBRARY_PATH

# 设置Python路径
export PYTHONPATH=$PYTHONPATH:$(pwd)

# 确认环境
echo "============================================"
echo "Activated conda environment: $CONDA_DEFAULT_ENV"
echo "CUDA_HOME: $CUDA_HOME"
echo "============================================"

# 显示GPU信息
echo "=== GPU Info ==="
nvidia-smi

# 检查CUDA是否可用
python -c "import torch; print('CUDA available:', torch.cuda.is_available()); print('GPU count:', torch.cuda.device_count()); print('GPU name:', torch.cuda.get_device_name(0))"

# ============================================
# 评估配置
# ============================================
TIMESTAMP=$(date +"%Y%m%d_%H%M%S")

# 模型配置
ENCODER=vitb
DECODER=sdt

# Checkpoint路径
CKPT="/home/ywan0794/Depth-Anything-V2/training/exp/sdt_vitb_both/epoch_008.pth"

# 输出目录
OUT_DIR="eval_output"
mkdir -p $OUT_DIR

echo "============================================"
echo "Starting MoGe Evaluation for DA2+SDT at $(date)"
echo "Encoder: $ENCODER"
echo "Decoder: $DECODER"
echo "Checkpoint: $CKPT"
echo "Output: ${OUT_DIR}/da2_sdt_${ENCODER}.json"
echo "============================================"

# ============================================
# 运行评估
# ============================================
python moge/scripts/eval_baseline.py \
    --baseline baselines/da2_custom.py \
    --config /home/ywan0794/datasets/eval/moge_style_eval/all_benchmarks.json \
    --output ${OUT_DIR}/da2_sdt_${ENCODER}_${TIMESTAMP}.json \
    --repo /home/ywan0794/Depth-Anything-V2 \
    --checkpoint "$CKPT" \
    --encoder $ENCODER \
    --decoder $DECODER

echo "============================================"
echo "Evaluation completed at $(date)"
echo "============================================"