Docker 容器中的交叉编译器 link
Cross compiler link in Docker container
为了使用 visual studio 2019 交叉编译程序,我在使用 docker 容器时遇到了一些麻烦。
这是我的 docker 文件
FROM ubuntu:16.04
RUN dpkg-divert --local --rename --add /sbin/initctl
RUN ln -sf /bin/true /sbin/initctl
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update
RUN apt-get -y upgrade
# install 32 bit libraries required for gnuarm tools from
# https://launchpad.net/gcc-arm-embedded & a few minimalistic tools with ssh server
RUN dpkg --add-architecture i386 && \
apt-get update && \
apt-get -y install \
libc6:i386 libncurses5:i386 libstdc++6:i386 libpython2.7:i386 vim \
make git unzip \
sudo curl less tree openssh-server
# clean cache
RUN apt-get clean
RUN mkdir -p /var/run/sshd
COPY *.tgz /tmp/
RUN cd /tmp && \
tar zxvf gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf_5.3_sub1.0.3.tgz -C /opt && \
tar zxvf Compiler_gcc-linaro-5.3_patch_1.2.2.tgz && \
cd Compiler_gcc-linaro-5.3_patch && \
bash ./install-owa4x-comp-PATCH-1.2.2.sh && \
cd / && \
rm -rf /tmp/*
ENV PATH="${PATH}:/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin"
RUN useradd -G sudo --create-home --shell /bin/bash --user-group myuser
RUN echo "myuser:myuser_pwd" | chpasswd
RUN echo "PATH=$PATH:/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linuxgnueabihf/bin" >> /etc/profile
CMD ["source /etc/profile"]
CMD ["/usr/sbin/sshd", "-D"]
EXPOSE 22
ENV WORKSPACE /home/myuser/workspace
VOLUME ${WORKSPACE}
这是创建我的图像的方法
docker build --tag cc_arm .
myuser@ubuntu:~/Documents/share$ docker run -d -p 5000:22 -v /home/myuser/Documents/share:/home/myuser/workspace cc_arm
但是当我打开 shell 并输入
which g++
which gcc
我什么都没有。我也试过手动设置路径
export C="/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc"
export CXX="/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++"
echo 'export CC=/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc' >> ~/.bashrc
echo 'export CXX=/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++' >> ~/.bashrc
但是不行。
我认为我的环境还可以,因为我可以使用包中的 g++ 交叉编译一个简单的程序(位于 /usr/bin/g++)
sudo apt install -y openssh-server build-essential gdb rsync ninja-build zip
提前致谢。
最后,我将 Visual Studio 2019 年的项目更改为 CMake 项目。
我在容器的共享卷中创建了一个 CMake 文件。
SET(CMAKE_C_COMPILER /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc)
SET(CMAKE_CXX_COMPILER /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++)
SET(CMAKE_STRIP /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-strip)
SET(CMAKE_SYSTEM_NAME Linux)
SET(CMAKE_SYSTEM_PROCESSOR arm)
SET(CMAKE_SYSTEM_VERSION 1)
并且在 Visual Studio 2019 年,我更改了 launch.vs.json
"configurations": [
{
"type": "cppgdb",
"name": "CMakeProject6 (CMakeProject6\CMakeProject6)",
"project": "CMakeLists.txt",
"projectTarget": "CMakeProject6 (CMakeProject6\CMakeProject6)",
"debuggerConfiguration": "gdb",
"args": [],
"env": {},
"remoteMachineName": "10.0.0.1 (username=root, port=22, authentication=Password)",
"deploy": [
{
"sourceMachine": "192.168.72.144 (username=root, port=5000, authentication=Password)", // DOCKER CONTAINER
"targetMachine": "10.0.0.1 (username=root, port=22, authentication=Password)", // REMOTE MACHINE
"deploymentType": "RemoteRemote"
}
]
}
为了使用 visual studio 2019 交叉编译程序,我在使用 docker 容器时遇到了一些麻烦。
这是我的 docker 文件
FROM ubuntu:16.04
RUN dpkg-divert --local --rename --add /sbin/initctl
RUN ln -sf /bin/true /sbin/initctl
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update
RUN apt-get -y upgrade
# install 32 bit libraries required for gnuarm tools from
# https://launchpad.net/gcc-arm-embedded & a few minimalistic tools with ssh server
RUN dpkg --add-architecture i386 && \
apt-get update && \
apt-get -y install \
libc6:i386 libncurses5:i386 libstdc++6:i386 libpython2.7:i386 vim \
make git unzip \
sudo curl less tree openssh-server
# clean cache
RUN apt-get clean
RUN mkdir -p /var/run/sshd
COPY *.tgz /tmp/
RUN cd /tmp && \
tar zxvf gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf_5.3_sub1.0.3.tgz -C /opt && \
tar zxvf Compiler_gcc-linaro-5.3_patch_1.2.2.tgz && \
cd Compiler_gcc-linaro-5.3_patch && \
bash ./install-owa4x-comp-PATCH-1.2.2.sh && \
cd / && \
rm -rf /tmp/*
ENV PATH="${PATH}:/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin"
RUN useradd -G sudo --create-home --shell /bin/bash --user-group myuser
RUN echo "myuser:myuser_pwd" | chpasswd
RUN echo "PATH=$PATH:/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linuxgnueabihf/bin" >> /etc/profile
CMD ["source /etc/profile"]
CMD ["/usr/sbin/sshd", "-D"]
EXPOSE 22
ENV WORKSPACE /home/myuser/workspace
VOLUME ${WORKSPACE}
这是创建我的图像的方法
docker build --tag cc_arm .
myuser@ubuntu:~/Documents/share$ docker run -d -p 5000:22 -v /home/myuser/Documents/share:/home/myuser/workspace cc_arm
但是当我打开 shell 并输入
which g++
which gcc
我什么都没有。我也试过手动设置路径
export C="/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc"
export CXX="/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++"
echo 'export CC=/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc' >> ~/.bashrc
echo 'export CXX=/opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++' >> ~/.bashrc
但是不行。
我认为我的环境还可以,因为我可以使用包中的 g++ 交叉编译一个简单的程序(位于 /usr/bin/g++)
sudo apt install -y openssh-server build-essential gdb rsync ninja-build zip
提前致谢。
最后,我将 Visual Studio 2019 年的项目更改为 CMake 项目。 我在容器的共享卷中创建了一个 CMake 文件。
SET(CMAKE_C_COMPILER /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc)
SET(CMAKE_CXX_COMPILER /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-g++)
SET(CMAKE_STRIP /opt/gcc-linaro-5.3-2016.02-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-strip)
SET(CMAKE_SYSTEM_NAME Linux)
SET(CMAKE_SYSTEM_PROCESSOR arm)
SET(CMAKE_SYSTEM_VERSION 1)
并且在 Visual Studio 2019 年,我更改了 launch.vs.json
"configurations": [
{
"type": "cppgdb",
"name": "CMakeProject6 (CMakeProject6\CMakeProject6)",
"project": "CMakeLists.txt",
"projectTarget": "CMakeProject6 (CMakeProject6\CMakeProject6)",
"debuggerConfiguration": "gdb",
"args": [],
"env": {},
"remoteMachineName": "10.0.0.1 (username=root, port=22, authentication=Password)",
"deploy": [
{
"sourceMachine": "192.168.72.144 (username=root, port=5000, authentication=Password)", // DOCKER CONTAINER
"targetMachine": "10.0.0.1 (username=root, port=22, authentication=Password)", // REMOTE MACHINE
"deploymentType": "RemoteRemote"
}
]
}