I use Debian testing 64 bit with Nvidia 740m gt (drivers: 331.67) with Bumblebee.
I’ve installed nvidia-cuda-toolkit too.
The problems is that my CUDA doesn’t work. For example, if I run “optirun blender” it works… but without CUDA support, and this is the output in my terminal: $ optirun blender
Color management: using fallback mode for management
connect failed: No such file or directory
modprobe: ERROR: could not insert ‘nvidia_uvm’: Invalid argument
CUDA cuInit: Unknown error
One week ago I solved this problem in Gentoo Linux simply installing the nvidia-cuda-toolkit from Gentoo’s packages. In Windows 7 it works too.
Maybe I must tell Blender or nvidia-drivers where to find the cuda-toolkit … I don’t know …
The error message is pointing you to the solution. Some of the latest NVIDIA drivers require the nvidia-uvm module to be compiled and available, but due to some old patches being applied to the xorg-edgers ppa drivers, the module building fails.
Assuming you have installed it with the usual apt-get install nvidia-331 bumblebee, also install nvidia-331-uvm and libcuda1-331, as apparently the cuda library sometimes does not get installed automatically either.
I know I’m late to the party, but I may have a solution for others with this problem.
I had a similar issue with matlab on my Debian machine when I would use gpuArrays. The console would say the following:
modprobe: ERROR: could not insert 'nvidia_current_uvm': Operation not permitted
modprobe: ERROR: ../libkmod/libkmod-module.c:977 command_do() Error running install command for nvidia_uvm
modprobe: ERROR: could not insert 'nvidia_uvm': Operation not permitted
and matlab Command Window would report
Error using gpuArray
An unexpected error occurred during CUDA execution. The CUDA error was:
The solution to my problem, and most likely your problem, is that you need the nvidia_uvm running.
Matlab (and your program) tried to start it, but doesn’t have permission to do so.
Assuming you already have the proper cuda packages, nvidia-cuda-dev or libcuda1, installed you can simply run one of the following commands to start the nvidia_uvm module:
sudo modprobe nvidia_current_uvm
sudo modprobe nvidia_uvm
If this fixes the issue, you can have kmod start the module automatically at boot by placing the following lines in /etc/modules (ignore the line numbers):
# Needed for programs using libCUDA
If you used modprobe nvidia_uvm previously, replace the name in the above snippet.
You can verify that the nvidia_uvm module has started by running lsmod | grep nvidia and checking that you see nvidia_uvm in the output. If you do not see the module in the output, I would sift through the output of dmesg | grep -i nvidia and look for any error messages pertaining to that module.