export CUDA_HOME=/usr/local/cuda-11.8
export PATH=/usr/local/cuda-11.8/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH
export DEBIAN_FRONTEND=noninteractive
export TORCH_CUDA_ARCH_LIST="8.0;8.9;9.0"
export TCNN_CUDA_ARCHITECTURES=80,89,90

source /opt/conda/etc/profile.d/conda.sh
conda activate embodiedgen
chmod -R 777 /EmbodiedGen/apps/sessions
DATE_STR=$(date +"%Y-%m-%d_%H-%M-%S")

LOG_FILE="${DATE_STR}.log"
exec > >(tee -a "/EmbodiedGen/logs/${LOG_FILE}") 2>&1

export no_proxy="localhost,127.0.0.1,192.168.48.210,120.48.161.22"
export ENDPOINT="https://llmproxy.d-robotics.cc/v1"
export API_KEY="sk-B8urDShf4TLeruwI3dB8286485Aa4984A722E945F566EfF4"
export MODEL_NAME="azure/gpt-4.1"

export http_proxy=http://192.168.16.68:18000 https_proxy=http://192.168.16.68:18000
if [ -z "$GPUS" ]; then
    GPUS=0
fi
CUDA_VISIBLE_DEVICES=$GPUS python image_to_3d_service.py