Running in Docker

[discordianfish]

Hi,

I'm trying to run this in Docker. I've created a Dockerfile here: https://github.com/discordianfish/nvidia_gpu_prometheus_exporter/blob/master/Dockerfile

I've bind-mount /opt/nvidia/lib64 to the container and setup ld.so.conf to find it, yet the exporter still fails:

2018/05/29 17:39:20 Couldn't initialize gonvml: could not load NVML library. Make sure NVML is in the shared library search path.

# cat /etc/ld.so.conf.d/nvidia.conf 
/usr/local/nvidia/lib64
root@nvidia-exporter-ng2g9:~# ls /usr/local/nvidia/lib64
libEGL.so		 libGLESv1_CM_nvidia.so.1	libGLdispatch.so.0  libnvcuvid.so.390.46		 libnvidia-fbc.so	     libnvidia-ml.so.390.46
libEGL.so.1		 libGLESv1_CM_nvidia.so.390.46	libOpenCL.so	    libnvidia-cfg.so			 libnvidia-fbc.so.1	     libnvidia-opencl.so.1
libEGL.so.1.1.0		 libGLESv2.so			libOpenCL.so.1	    libnvidia-cfg.so.1			 libnvidia-fbc.so.390.46     libnvidia-opencl.so.390.46
libEGL_nvidia.so.0	 libGLESv2.so.2			libOpenCL.so.1.0    libnvidia-cfg.so.390.46		 libnvidia-glcore.so.390.46  libnvidia-ptxjitcompiler.so
libEGL_nvidia.so.390.46  libGLESv2.so.2.1.0		libOpenCL.so.1.0.0  libnvidia-compiler.so.390.46	 libnvidia-glsi.so.390.46    libnvidia-ptxjitcompiler.so.1
libGL.la		 libGLESv2_nvidia.so.2		libOpenGL.so	    libnvidia-egl-wayland.so.1		 libnvidia-gtk2.so.390.46    libnvidia-ptxjitcompiler.so.390.46
libGL.so		 libGLESv2_nvidia.so.390.46	libOpenGL.so.0	    libnvidia-egl-wayland.so.1.0.2	 libnvidia-gtk3.so.390.46    libnvidia-tls.so.390.46
libGL.so.1		 libGLX.so			libcuda.so	    libnvidia-eglcore.so.390.46		 libnvidia-ifr.so	     libvdpau_nvidia.so
libGL.so.1.7.0		 libGLX.so.0			libcuda.so.1	    libnvidia-encode.so			 libnvidia-ifr.so.1	     tls
libGLESv1_CM.so		 libGLX_indirect.so.0		libcuda.so.390.46   libnvidia-encode.so.1		 libnvidia-ifr.so.390.46     vdpau
libGLESv1_CM.so.1	 libGLX_nvidia.so.0		libnvcuvid.so	    libnvidia-encode.so.390.46		 libnvidia-ml.so	     xorg
libGLESv1_CM.so.1.2.0	 libGLX_nvidia.so.390.46	libnvcuvid.so.1     libnvidia-fatbinaryloader.so.390.46  libnvidia-ml.so.1
root@nvidia-exporter-ng2g9:~# ldconfig  -v|grep nvidia-ml     
ldconfig: Path `/lib/x86_64-linux-gnu' given more than once
ldconfig: Path `/usr/lib/x86_64-linux-gnu' given more than once
ldconfig: /lib/x86_64-linux-gnu/ld-2.24.so is the dynamic linker, ignoring

	libnvidia-ml.so.1 -> libnvidia-ml.so.390.46
root@nvidia-exporter-ng2g9:~# ldconfig  -v|grep nvidia   
ldconfig: Path `/lib/x86_64-linux-gnu' given more than once
ldconfig: Path `/usr/lib/x86_64-linux-gnu' given more than once
ldconfig: /lib/x86_64-linux-gnu/ld-2.24.so is the dynamic linker, ignoring

/usr/local/nvidia/lib64:
	libnvidia-glcore.so.390.46 -> libnvidia-glcore.so.390.46
	libnvidia-tls.so.390.46 -> libnvidia-tls.so.390.46
	libEGL_nvidia.so.0 -> libEGL_nvidia.so.390.46
	libnvidia-gtk3.so.390.46 -> libnvidia-gtk3.so.390.46
	libnvidia-gtk2.so.390.46 -> libnvidia-gtk2.so.390.46
	libnvidia-fatbinaryloader.so.390.46 -> libnvidia-fatbinaryloader.so.390.46
	libnvidia-opencl.so.1 -> libnvidia-opencl.so.390.46
	libnvidia-compiler.so.390.46 -> libnvidia-compiler.so.390.46
	libnvidia-ml.so.1 -> libnvidia-ml.so.390.46
	libGLESv2_nvidia.so.2 -> libGLESv2_nvidia.so.390.46
	libnvidia-ptxjitcompiler.so.1 -> libnvidia-ptxjitcompiler.so.390.46
	libnvidia-cfg.so.1 -> libnvidia-cfg.so.390.46
	libnvidia-ifr.so.1 -> libnvidia-ifr.so.390.46
	libnvidia-egl-wayland.so.1 -> libnvidia-egl-wayland.so.1.0.2
	libGLX_nvidia.so.0 -> libGLX_nvidia.so.390.46
	libnvidia-fbc.so.1 -> libnvidia-fbc.so.390.46
	libnvidia-eglcore.so.390.46 -> libnvidia-eglcore.so.390.46
	libnvidia-glsi.so.390.46 -> libnvidia-glsi.so.390.46
	libnvidia-encode.so.1 -> libnvidia-encode.so.390.46
	libGLESv1_CM_nvidia.so.1 -> libGLESv1_CM_nvidia.so.390.46
/usr/local/nvidia/lib64/tls: (hwcap: 0x8000000000000000)
	libnvidia-tls.so.390.46 -> libnvidia-tls.so.390.46

[discordianfish]

I've actually figured this out myself with strace: Looks like I was simply missing permissions to access /dev/nvidia. Maybe the error returned in this case could be imrpoved?

[rohitagarwal003]

Added instructions to make debugging easier: https://github.com/mindprince/nvidia_gpu_prometheus_exporter#running-inside-a-container