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@LimHyungTae
Last active December 23, 2025 03:59
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MinokwskiEngie Docker File for higher version of GPU
# Use use previous versions, modify these variables
# ARG PYTORCH="1.9.0"
# ARG CUDA="11.1"
ARG PYTORCH="2.0.0"
ARG CUDA="11.7"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
##############################################
# You should modify this to match your GPU compute capability
# ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
ENV TORCH_CUDA_ARCH_LIST="8.6 8.9"
##############################################
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
# Install dependencies
RUN apt-get update
RUN apt-get install -y git ninja-build cmake build-essential libopenblas-dev \
xterm xauth openssh-server tmux wget mate-desktop-environment-core
RUN apt-get clean
RUN rm -rf /var/lib/apt/lists/*
# For faster build, use more jobs.
ENV MAX_JOBS=36
RUN git clone --recursive "https://github.com/leadbreak/MinkowskiEngine"
RUN cd MinkowskiEngine; python setup.py install --force_cuda --blas=openblas
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