I spent 4 days trying to compile the C++ library of this library, and this is the only solution that worked. #707
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Hi @EternalSaga, but got the following error about accessing the header files (though they do exist). Have you ever encountered such issues? I suppose there would be some additional settings in CMakeLists.
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I found out that I forgot to prepare spconv/CMakeLists.txt. It works like a charm with this repo's example: |
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@barrydoooit |
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A little bit improvements with barrydoooit's suggestion. FROM nvidia/cuda:12.2.2-cudnn8-devel-ubuntu22.04 AS basebuild
ENV TZ=Asia/Shanghai
ENV DEBIAN_FRONTEND=noninteractive
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN apt update && apt install -y lsb-release wget software-properties-common gnupg
RUN sed -i 's/archive.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
RUN apt update && apt install lsb-release wget software-properties-common gnupg -y && apt update && apt upgrade -y && apt install -y vim wget gdb pkg-config autoconf automake build-essential git libpoco-dev uuid-dev libncurses5-dev python3-dev python3-pip \
libtool libc6 libc6-dev unzip libnuma1 libnuma-dev libturbojpeg0-dev apt-utils \
&& python3 -m pip install -i https://pypi.tuna.tsinghua.edu.cn/simple --upgrade pip
RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 1A127079A92F09ED && apt-add-repository 'deb https://apt.kitware.com/ubuntu/ jammy main' && apt update && apt install -y cmake
WORKDIR /workspace
FROM basebuild as build_stage
RUN git clone https://github.com/traveller59/spconv.git && git clone https://github.com/FindDefinition/cumm
# set environmnet variables for building cumm
ENV CUMM_CUDA_VERSION=12.2
ENV CUMM_DISABLE_JIT=1
ENV SPCONV_DISABLE_JIT=1
ENV CUMM_INCLUDE_PATH=/workspace/cumm/include
ENV CUMM_CUDA_ARCH_LIST="8.9"
# install pccm for building cumm wheel
RUN pip3 install wheel pccm -i https://pypi.tuna.tsinghua.edu.cn/simple
RUN cd /workspace/cumm && git checkout v0.5.3 && python3 setup.py bdist_wheel && pip3 install dist/cumm_cu122-0.5.3-cp310-cp310-linux_x86_64.whl
# remove cumm depandance for building spconv
COPY pyproject.toml /workspace/spconv/pyproject.toml
ENV PATH=/usr/local/cuda-12.2/bin${PATH:+:${PATH}}
ENV LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
RUN cd /workspace/spconv && mkdir ./cpp
# from example/libspconv/spconv/CMakeLists.txt
COPY CMakeLists.txt /workspace/spconv/cpp/CMakeLists.txt
RUN cd /workspace/spconv && python3 setup.py bdist_wheel && python3 -m spconv.gencode --include=./cpp/include --src=./cpp/src
RUN cd /workspace/spconv/cpp/ && mkdir build && cmake . -B ./build && \
cmake --build ./build --config Release --parallel $(nproc) --target install
RUN mkdir -p ./libspconv/lib && mkdir -p ./libspconv/include
# make sure the cumm headers have been moved out with spconv heads
RUN mv /usr/local/lib/libspconv.so ./libspconv/lib && mv /workspace/spconv/cpp/include ./libspconv/ && mv /workspace/cumm/include/tensorview ./libspconv/include/
FROM basebuild
RUN apt install -y gcc-12 g++-12
RUN wget https://apt.llvm.org/llvm.sh && chmod +x ./llvm.sh && ./llvm.sh 18 -s && rm ./llvm.sh
COPY --from=build_stage /workspace/libspconv /usr/local/libspconv
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Here is the Dockerfile which can build the C++ library successfully, but it requires several workarounds for successful building.
Please make it easier for C++ inference. I'd appreciate any suggestions for streamlining the process.
Please notice that the pyproject.toml file should be prepared first which used to be copied into the building container.
Then run:
docker build -t spconv:x86 --output ./out .You can get the libspconv.so in your output direcotry.
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