diff --git a/docker/Dockerfile b/docker/Dockerfile index fae0060b2b..69858c84ef 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,35 +1,30 @@ -FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 -# use an older system (18.04) to avoid opencv incompatibility (issue#3524) +FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu20.04 ENV DEBIAN_FRONTEND noninteractive RUN apt-get update && apt-get install -y \ - python3-opencv ca-certificates python3-dev git wget sudo ninja-build -RUN ln -sv /usr/bin/python3 /usr/bin/python + python3-opencv ca-certificates python3.8 python3.8-dev git wget sudo ninja-build && \ + ln -sv /usr/bin/python3.8 /usr/bin/python3 # create a non-root user ARG USER_ID=1000 -RUN useradd -m --no-log-init --system --uid ${USER_ID} appuser -g sudo +RUN useradd -m --no-log-init --system --uid ${USER_ID} appuser -g sudo RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers USER appuser WORKDIR /home/appuser ENV PATH="/home/appuser/.local/bin:${PATH}" -RUN wget https://bootstrap.pypa.io/pip/3.6/get-pip.py && \ - python3 get-pip.py --user && \ - rm get-pip.py +RUN wget https://bootstrap.pypa.io/get-pip.py && \ + python3 get-pip.py --user && \ + rm get-pip.py # install dependencies -# See https://pytorch.org/ for other options if you use a different version of CUDA -RUN pip install --user tensorboard cmake onnx # cmake from apt-get is too old +RUN pip install --user tensorboard cmake onnx RUN pip install --user torch==1.10 torchvision==0.11.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html RUN pip install --user 'git+https://github.com/facebookresearch/fvcore' # install detectron2 RUN git clone https://github.com/facebookresearch/detectron2 detectron2_repo -# set FORCE_CUDA because during `docker build` cuda is not accessible ENV FORCE_CUDA="1" -# This will by default build detectron2 for all common cuda architectures and take a lot more time, -# because inside `docker build`, there is no way to tell which architecture will be used. ARG TORCH_CUDA_ARCH_LIST="Kepler;Kepler+Tesla;Maxwell;Maxwell+Tegra;Pascal;Volta;Turing" ENV TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST}"