File size: 2,227 Bytes
45b0ed8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | #!/bin/bash
#SBATCH --job-name=moge-fe2e
#SBATCH --output=/home/ywan0794/MoGe/moge_fe2e_%j.log
#SBATCH --error=/home/ywan0794/MoGe/moge_fe2e_%j.log
#SBATCH --open-mode=append
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=4
#SBATCH --gres=gpu:H100:1
#SBATCH --time=1-00:00:00
#SBATCH --mem=80G
#SBATCH --nodelist=erinyes
export PYTHONUNBUFFERED=1
cd /home/ywan0794/MoGe
source /home/ywan0794/miniconda3/etc/profile.d/conda.sh
conda activate fe2e
export CUDA_HOME=$CONDA_PREFIX
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
# FE2E pins torch 2.6 / diffusers 0.32.2 fork in its own env.
export LD_LIBRARY_PATH=$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/FE2E
MODEL_PATH=$REPO/pretrain
LORA_PATH=$REPO/lora/LDRN.safetensors
CONFIG=/home/ywan0794/MoGe/configs/eval/fe2e_all_benchmarks.json
OUT_DIR=eval_output
mkdir -p $OUT_DIR
echo "============================================"
echo "Starting MoGe Eval for FE2E at $(date)"
echo "Repo: $REPO"
echo "model_path: $MODEL_PATH"
echo "lora_path: $LORA_PATH"
echo "Config: $CONFIG"
echo "============================================"
# Mirror README depth-eval call:
# --single_denoise --prompt_type empty --task_name depth --cfg_guidance 6.0
# Default size_level matches README 768.
python moge/scripts/eval_baseline.py \
--baseline baselines/fe2e.py \
--config $CONFIG \
--output ${OUT_DIR}/fe2e_${TIMESTAMP}.json \
--repo $REPO \
--model_path $MODEL_PATH \
--lora_path $LORA_PATH \
--prompt_type empty \
--single_denoise \
--cfg_guidance 6.0 \
--size_level 768
echo "============================================"
echo "Evaluation completed at $(date)"
echo "============================================"
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