The environment verified this time is as follows.
Hardware cpu - AMD Ryzen 9 3900X gpu - Geforce RTX 2060 super ram - 32G
Software os - ubuntu 20.04.1 kernel - Linux define 5.4.0-48-generic docker - 19.03.13 nvidia-driver - 450.66 cuda version - 11.0
I have attached the output of nvidia-smi
.
$ nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.66 Driver Version: 450.66 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 206... Off | 00000000:0E:00.0 On | N/A |
| 38% 40C P8 11W / 175W | 916MiB / 7979MiB | 1% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
First install nvidia-container-runtime.
#apt related settings
$ curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey | sudo apt-key add -
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
# nvidia-container-runtime installation
$ sudo apt update
$ sudo apt install nvidia-container-runtime
#Restart docker service
$ sudo systemctl restart docker.service
Then register your UID in docker group. I think people using docker are doing it, but just in case.
$ sudo usermod -a -G docker `id -un`
$ sudo systemctl restart docker.service
Next, build the docker image.
$ git clone https://github.com/chikuta/chikuta-dockerfiles.git
$ cd chikuta-dockerfiles
$ ./docker/ros-bionic-melodic-unity/build-docker-image.bash
Next, you can start the container of the built image by executing the following command. The content of the script is a wrapping of the processing around xhost and the arguments of docker. You can create your own environment by editing it as needed, so let's actively customize it.
$ cd chikuta-dockerfiles
$ ./docker/ros-bionic-melodic-unity/run-docker-container.bash
When you run the script, the blue terminator will be launched. Since this is a terminal application running on the docker container, all commands executed here will be processed on the docker container. Next, let's launch Unity Hub.
cd /opt/unity
./UnityHub.AppImage
Let's launch Unity Editor after installing the required environment.
The image will be a display of the appropriate Free Island Collection
obtained from the Asset Store.
Next, I will write about ROS cooperation.
Recommended Posts