mm3dtest / docker /Dockerfile
giantmonkeyTC
2344
34d1f8b
ARG PYTORCH="1.9.0"
ARG CUDA="11.1"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX" \
TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
FORCE_CUDA="1"
# Avoid Public GPG key error
# https://github.com/NVIDIA/nvidia-docker/issues/1631
RUN rm /etc/apt/sources.list.d/cuda.list \
&& rm /etc/apt/sources.list.d/nvidia-ml.list \
&& apt-key del 7fa2af80 \
&& apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
&& apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
# (Optional, use Mirror to speed up downloads)
# RUN sed -i 's/http:\/\/archive.ubuntu.com\/ubuntu\//http:\/\/mirrors.aliyun.com\/ubuntu\//g' /etc/apt/sources.list && \
# pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
# Install the required packages
RUN apt-get update \
&& apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Install MMEngine, MMCV and MMDetection
RUN pip install openmim && \
mim install "mmengine" "mmcv>=2.0.0rc4" "mmdet>=3.0.0"
# Install MMDetection3D
RUN conda clean --all \
&& git clone https://github.com/open-mmlab/mmdetection3d.git -b dev-1.x /mmdetection3d \
&& cd /mmdetection3d \
&& pip install --no-cache-dir -e .
WORKDIR /mmdetection3d