#!/bin/bash
#SBATCH --job-name=moge-depthmaster
#SBATCH --output=/home/ywan0794/MoGe/moge_depthmaster_%j.log
#SBATCH --error=/home/ywan0794/MoGe/moge_depthmaster_%j.log
#SBATCH --open-mode=append
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=4
#SBATCH --gres=gpu:H100:1
#SBATCH --time=0-04:00:00
#SBATCH --mem=40G
#SBATCH --nodelist=erinyes

export PYTHONUNBUFFERED=1

cd /home/ywan0794/MoGe

source /home/ywan0794/miniconda3/etc/profile.d/conda.sh
conda activate depthmaster

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:$LD_LIBRARY_PATH
export PYTHONPATH=$PYTHONPATH:$(pwd)

echo "============================================"
echo "Activated conda environment: $CONDA_DEFAULT_ENV"
echo "CUDA_HOME: $CUDA_HOME"
echo "============================================"

echo "=== GPU Info ==="
nvidia-smi

python -c "import torch; print('CUDA:', torch.cuda.is_available(), torch.cuda.get_device_name(0) if torch.cuda.is_available() else '')"

TIMESTAMP=$(date +"%Y%m%d_%H%M%S")
REPO=/home/ywan0794/EvalMDE/DepthMaster
# README: download HF zysong212/DepthMaster into ckpt/eval (relative to repo)
CKPT=$REPO/ckpt/eval
CONFIG=/home/ywan0794/MoGe/configs/eval/all_benchmarks.json
OUT_DIR=eval_output
mkdir -p $OUT_DIR

echo "============================================"
echo "Starting MoGe Eval for DepthMaster at $(date)"
echo "Repo: $REPO"
echo "Checkpoint dir: $CKPT"
echo "Config: $CONFIG"
echo "============================================"

# DepthMaster infer.sh default: --processing_res 768
python moge/scripts/eval_baseline.py \
    --baseline baselines/depthmaster.py \
    --config $CONFIG \
    --output ${OUT_DIR}/depthmaster_${TIMESTAMP}.json \
    --repo $REPO \
    --checkpoint $CKPT \
    --processing_res 768

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