Dockerfile

FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
CMD nvidia-smi

ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -y \
        git \
        make build-essential libssl-dev zlib1g-dev \
        libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm \
        libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev  \
    	ffmpeg libsm6 libxext6 cmake libgl1-mesa-glx \
		&& rm -rf /var/lib/apt/lists/*

# RUN useradd -ms /bin/bash user
# USER user

USER root

# ENV HOME=/home/user \
# 	PATH=/home/user/.local/bin:$PATH

ENV HOME=/home/root \
	PATH=/home/root/.local/bin:$PATH

RUN curl https://pyenv.run | bash
ENV PATH=$HOME/.pyenv/shims:$HOME/.pyenv/bin:$PATH
RUN pyenv install 3.8.15 && \
    pyenv global 3.8.15 && \
    pyenv rehash && \
    pip install --no-cache-dir --upgrade pip setuptools wheel

ENV WORKDIR=/code
WORKDIR $WORKDIR
# RUN chown -R user:user $WORKDIR
RUN chown -R root:root $WORKDIR
RUN chmod -R 755 $WORKDIR


COPY requirements.txt $WORKDIR/requirements.txt
COPY oneformer $WORKDIR/oneformer
RUN pip install --no-cache-dir --upgrade -r $WORKDIR/requirements.txt

COPY . .

ARG TORCH_CUDA_ARCH_LIST=7.5+PTX


RUN pip install ninja

USER root
RUN ln -s $WORKDIR/oneformer/modeling/pixel_decoder/ops/ $WORKDIR/ && ls && cd ops/ && FORCE_CUDA=1 python setup.py build install --user && cd ..

RUN sh deform_setup.sh

USER root
RUN sh deform_setup.sh

USER root

EXPOSE 7860

ENTRYPOINT ["python", "gradio_app.py"]