fail to start gazebo inside the container

[yangyangcv]

I follow the steps in 'Building Docker image' and succeed building the image. Then I create container, build components, all succeed. but when I run Gazebo simulator with 'make posix_sitl_default gazebo' there comes errors. I realize these errors are about gazebo. so i just run 'gazebo' in the terminal inside the container. the terminal outputs:

root@yang-X556UQK:~# gazebo
libGL error: No matching fbConfigs or visuals found
libGL error: failed to load driver: swrast
libGL error: No matching fbConfigs or visuals found
libGL error: failed to load driver: swrast
X Error of failed request: BadValue (integer parameter out of range for operation)
Major opcode of failed request: 154 (GLX)
Minor opcode of failed request: 3 (X_GLXCreateContext)
Value in failed request: 0x0
Serial number of failed request: 30
Current serial number in output stream: 31
X Error of failed request: BadValue (integer parameter out of range for operation)
Major opcode of failed request: 154 (GLX)
Minor opcode of failed request: 3 (X_GLXCreateContext)
Value in failed request: 0x0
Serial number of failed request: 30
Current serial number in output stream: 31

I guess it's because gazebo need glx. but according to https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#is-opengl-supported opengl+glx is not supported by nvidia docker. so i'm confused about how to run gazebo simulator. confirm my config below:
host computer: Ubuntu 16.04 x64 with Nvidia Geforce 940MX
docker image: nvidia-redtail-sim:kinetic, built according to https://github.com/NVIDIA-Jetson/redtail/wiki/Testing-in-Simulator
gazebo simulator: running inside container with 'make posix_sitl_default gazebo'. should I run this inside the container or just in the host computer?

[Alexey-Kamenev]

Hello,
We usually run everything, including Gazebo, from Docker. Our simulator Docker image is pretty large so what I recommend is to try running smaller image like the one described here and see if Gazebo works in such configuration. Also, try this (I haven't tried it so I don't know if it's going to work).

[yangyangcv]

@Alexey-Kamenev thanks man. problem solved just as you mentioned.

1. install nvidia driver on the host machine (I just use the graphical Software&Updates->Additional Drivers->choose 'Using NVIDIA binary driver')
2. ./NVIDIA-DRIVER.run -a -N --ui=none --no-kernel-module inside the docker