I have been running this system for a while.
Recently I upgraded tensorflow to 1.14 and Python 3.7x
OS is Linux Mint Sylvia 18.3 forked from Ubuntu 16.04.6 LTS (Xenial Xerus)
I have this Nvidia driver:
NVIDIA-SMI 384.130 Driver Version: 384.130
I got this error when I ran Tensorflow on Titan XP:
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed.
Status: CUDA driver version is insufficient for CUDA runtime version
Here is my display hardware:
$ sudo lshw -class display
[sudo] password for ml:
*-display
description: VGA compatible controller
product: GP102 [TITAN Xp]
vendor: NVIDIA Corporation
physical id: 0
bus info: pci@0000:21:00.0
version: a1
width: 64 bits
clock: 33MHz
capabilities: pm msi pciexpress vga_controller bus_master cap_list rom
configuration: driver=nvidia latency=0
resources: irq:122 memory:ec000000-ecffffff memory:d0000000-dfffffff memory:e0000000-e1ffffff ioport:7000(size=128) memory:ed000000-ed07ffff
*-display
description: VGA compatible controller
product: ASPEED Graphics Family
vendor: ASPEED Technology, Inc.
physical id: 0
bus info: pci@0000:42:00.0
version: 41
width: 32 bits
clock: 33MHz
capabilities: pm msi vga_controller cap_list
configuration: driver=ast latency=0
resources: irq:71 memory:ca000000-cbffffff memory:cc000000-cc01ffff ioport:b000(size=128)
============================
At Official Drivers | NVIDIA,
I tried downloading a new driver and there is no driver for Titan Xp.
See below.
Strange, I did install Titan Xp driver a about a 1-1/2 years or so ago…
[I am going to try and upload the png screenshot]
When “Download Type” was reset to “Studio Driver (SD)”, I got this search result response:
No certified downloads were found for this configuration. To include beta downloads in your search, click here
Questions:
Where can I get a new driver for Titan Xp for the newer TensorLow 1.14?
If I do get one, how do I install it over existing driver (NVIDIA Driver Version: 384.130 )?
I will also include a bug report here.
Thanks.
nvidia-bug-report.log.gz (85 KB)