45 lines
1.4 KiB
Docker
45 lines
1.4 KiB
Docker
FROM nvcr.io/nvidia/cuda:11.3.1-devel-ubuntu20.04
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RUN apt-get update && apt-get install wget -yq
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RUN apt-get install build-essential g++ gcc -y
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get install libgl1-mesa-glx libglib2.0-0 -y
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RUN apt-get install openmpi-bin openmpi-common libopenmpi-dev libgtk2.0-dev git -y
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# Install miniconda
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ENV CONDA_DIR /opt/conda
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RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py38_4.12.0-Linux-x86_64.sh -O ~/miniconda.sh && \
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/bin/bash ~/miniconda.sh -b -p /opt/conda
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# Put conda in path so we can use conda activate
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ENV PATH=$CONDA_DIR/bin:$PATH
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#RUN conda config --add channels conda-forge
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RUN conda config --add channels pytorch
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RUN conda config --add channels nvidia
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RUN conda config --set remote_connect_timeout_secs 60.0
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RUN conda config --set remote_read_timeout_secs 120.0
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RUN conda config --set remote_max_retries 5
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RUN conda config --set show_channel_urls yes
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RUN conda config --set channel_priority flexible
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# 尝试直接安装python，依赖解析可能优先使用conda-forge的包
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RUN conda install python=3.8 -y
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#RUN conda install python=3.8 -y
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RUN conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3
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RUN pip install Pillow==8.4.0
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RUN pip install tqdm
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RUN pip install torchpack
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RUN pip install mmcv==1.4.0 mmcv-full==1.4.0 mmdet==2.20.0
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RUN pip install nuscenes-devkit
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RUN pip install mpi4py==3.0.3
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RUN pip install numba==0.48.0
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