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FROM nvidia/cuda:11.6.1-cudnn8-devel-ubuntu20.04
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
libgl1 \
freeglut3-dev \
unzip \
ffmpeg \
libsm6 \
libxext6 \
libfontconfig1 \
libegl1-mesa-dev \
libgl1-mesa-dev \
libgles2-mesa-dev \
libglib2.0-0 \
libxrender1 \
libgbm1 \
build-essential \
libeigen3-dev \
python3.8 \
python3-pip \
nvidia-cuda-toolkit \
opencv-python-headless \
&& 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
ENV CUDA_HOME=/usr/local/cuda
ENV PATH=${CUDA_HOME}/bin:/home/${USER_NAME}/.local/bin:/usr/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
ENV LIBRARY_PATH=${CUDA_HOME}/lib64/stubs:${LIBRARY_PATH}
# Set home to the user's home directory
ENV HOME=/home/user \
PYTHONPATH=$HOME/app \
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
COPY requirements.txt /tmp
RUN cd /tmp && pip install -r requirements.txt
RUN pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu116_pyt1130/download.html
RUN python -c "import torch; print(torch.version.cuda)"
# Set the working directory to the user's home directory
WORKDIR $HOME
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME
RUN chmod 777 $HOME
ENV TRANSFORMERS_CACHE=/tmp
ENV MPLCONFIGDIR=/tmp
WORKDIR $HOME/app
CMD ["python", "app.py"]
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