Dockerfile

FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04

ARG DEBIAN_FRONTEND=noninteractive

RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
    curl \
    git \
    wget \
    freeglut3-dev \
    unzip \
    ffmpeg \
    libsm6 \
    libxext6 \
    libgomp1 \
    libfontconfig1 \
    libgl1-mesa-glx \
    libgl1-mesa-dev \
    libglfw3 \
    libglfw3-dev \
    libglew2.1 \
    libglew-dev \
    mesa-utils \
    libc6 \
    libxdamage1 \
    libxfixes3 \
    libxcb-glx0 \
    libxcb-dri2-0 \
    libxcb-dri3-0 \
    libxcb-present0 \
    libxcb-sync1 \
    libxshmfence1 \
    libxxf86vm1 \
    libxrender1 \
    libgbm1 \
    build-essential \
    libeigen3-dev \
    python3.8 \
    python3-pip \
    python-is-python3 \
    nvidia-cuda-toolkit \
    && rm -rf /var/lib/apt/lists/*


# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user

FROM python:3.8

ENV PYTHONUNBUFFERED=1

# ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6"
# ENV TCNN_CUDA_ARCHITECTURES=86;80;75;70;61;60
ENV FORCE_CUDA=1

# Set the environment variable to specify the GPU device
ENV CUDA_HOME=/usr/local/cuda
# ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
# ENV CUDA_VISIBLE_DEVICES=0

ENV PATH=${CUDA_HOME}/bin:/home/${USER_NAME}/.local/bin:/usr/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:/usr/lib:/usr/lib64:${LD_LIBRARY_PATH}

# Set home to the user's home directory
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONPATH=$HOME/app:$PYTHONPATH \
	PYTHONUNBUFFERED=1 \
	GRADIO_ALLOW_FLAGGING=never \
	GRADIO_NUM_PORTS=1 \
	GRADIO_SERVER_NAME=0.0.0.0 \
	GRADIO_THEME=huggingface \
	SYSTEM=spaces

RUN pip install --upgrade pip ninja
RUN pip install setuptools==69.5.1
RUN pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

RUN python -c "import torch, os; print(torch.version.cuda); print(os.environ.get('CUDA_HOME'))"
COPY requirements.txt /tmp
RUN cd /tmp && pip install -r requirements.txt

RUN pip install https://download.is.tue.mpg.de/icon/HF/kaolin-0.11.0-cp38-cp38-linux_x86_64.whl
RUN pip install https://download.is.tue.mpg.de/icon/HF/pytorch3d-0.7.0-cp38-cp38-linux_x86_64.whl
RUN pip install pyembree

ENV TRANSFORMERS_CACHE=/tmp
ENV MPLCONFIGDIR=/tmp

# cannot cache function '_make_tree': no locator available for file '/usr/local/lib/python3.8/site-packages/pymatting/util/kdtree.py'
ENV NUMBA_CACHE_DIR=/tmp/numba_cache
ENV HF_HOME=$HOME/.cache/huggingface
RUN mkdir -p $HF_HOME

RUN chmod 777 -R $HOME

# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app

# Set the working directory to the user's home directory
WORKDIR $HOME/app

ENV DISPLAY=:0

CMD ["python", "app.py"]