tried to install autoware (dashing) auto on a virtual machine with the ubuntu 18.04 operating system. I ran the following commands: ***** *** *** *** *** *** *** *** ***** Installing the docker ***** *** *** *** *** *** *** *** *** *******
//Uninstalling old versions
$ sudo apt-get remove docker docker-engine docker.io containerd runc
// Creating docker engine installation repository
$ sudo apt-get update
$ sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
$ sudo apt-key fingerprint 0EBFCD88
$ sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
$ sudo apt-get update
$ sudo apt-get install docker-ce docker-ce-cli containerd.io
$ sudo docker run hello-world
$ sudo groupadd docker
$ sudo usermod -aG docker $USER
//restart
$ docker run hello-world
***** *** *** *** *** *** *** *** *** *** *** ***** NVIDIA Docker ***** *** *** *** *** *** *** *** *** *** *****
$ sudo apt-get install linux-headers-$(uname -r)
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID | sed -e 's/\.//g')
$ wget https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/cuda-$distribution.pin
$ sudo mv cuda-$distribution.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/7fa2af80.pub
$ echo "deb http://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
$ sudo apt-get update
$ sudo apt-get -y install cuda-drivers
$ sudo reboot
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
$ sudo apt-get update
$ sudo apt-get install -y nvidia-docker2
$ sudo systemctl restart docker
$ sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi
***** *** *** *** *** *** *** *** *** *** *** ***** ADE Installation ***** *** *** *** *** *** *** *** *** ******
$ cd ${HOME}
$ mkdir adehome
$ cd adehome
$ wget https://gitlab.com/ApexAI/ade-cli/uploads/85a5af81339fe55555ee412f9a3a734b/ade+x86_64
$ mv ade+x86_64 ade
$ chmod +x ade
$ sudo mv ade /usr/local/bin
$ which ade
$ sudo ade update-cli
//Update to 4.2.0
$ touch .adehome
$ git clone --recurse-submodules https://gitlab.com/autowarefoundation/autoware.auto/AutowareAuto.git
$ cd AutowareAuto/
$ ade --rc .aderc-amd64-dashing start --update --enter
***** *** *** *** *** *** *** *** ***** Installation AutowareAuto ***** *** *** *** *** *** *** *** *** *** *****
ade$ exit
$ nano .aderc
//take off export ADE_DISABLE_NVIDIA_DOCKER=true, change the foxy to dashing
ade start -f
ade enter
ade$ cd AutowareAuto/
ade$ vcs import < autoware.auto.$ROS_DISTRO.repos
ade$ colcon build --cmake-args -DCMAKE_BUILD_TYPE="Debug"
[Processing: had_map_utils]e] [had_map_utils:build 33% - 8min 51.4s] — stderr: had_map_utils
c++: internal compiler error: Killed (program cc1plus) Please submit a full bug report, with preprocessed source if appropriate. See <file: usr="" share="" doc="" gcc-7="" readme.bugs=""> for instructions. make[2]: *** [CMakeFiles/had_map_utils.dir/src/had_map_computation.cpp.o] Error 4 make[1]: *** [CMakeFiles/had_map_utils.dir/all] Error 2
make: *** [all] Error 2
Failed <<< had_map_utils [8min 59s, exited with code 2]
Summary: 6 packages finished [11min 38s] 1 package failed: had_map_utils 2 packages had stderr output: autoware_auto_common had_map_utils 80 packages not processed
I also had a error when I did the installation of the nvidia docker (one the least command), but I think it happened because the virtual machine does not have access to the GPU. Thanks for the trouble!