Thank you for the reply Andreas, The NVIDIA driver was definitely updated. ( it was on the list of items in the Ubuntu "software updater" prior to running the updates ). I have included the lines of dmesg corresponding to NVIDIA below, after trying to rerun the import pycuda.driver in jupyter notebook.
-I am able to run my regular CUDA-C/C++ code binaries successfully after the update: Based on this am I correct in assuming that this is not necessarily a Nvidia kernel/driver mismatch issue? -Is there a way I can start from scratch and force pycuda to rebuild the installation? -Should I try to go to an older NVIDIA driver binary? Thanks output of dmesg ====================================================================================== [ 2.523799] nvidia: loading out-of-tree module taints kernel. [ 2.523807] nvidia: module license 'NVIDIA' taints kernel. [ 2.523808] Disabling lock debugging due to kernel taint [ 2.534215] nvidia: module verification failed: signature and/or required key missing - tainting kernel [ 2.541075] systemd-udevd[682]: failed to execute '/bin/systemctl' '/bin/systemctl start --no-block nvidia-persistenced.service': No such file or directory [ 2.541164] nvidia-nvlink: Nvlink Core is being initialized, major device number 242 [ 2.541358] nvidia 0000:05:00.0: enabling device (0100 -> 0103) [ 2.541415] vgaarb: device changed decodes: PCI:0000:05:00.0,olddecodes=io+mem,decodes=none:owns=none [ 2.541514] vgaarb: device changed decodes: PCI:0000:04:00.0,olddecodes=io+mem,decodes=none:owns=io+mem [ 2.541584] NVRM: loading NVIDIA UNIX x86_64 Kernel Module 384.130 Wed Mar 21 03:37:26 PDT 2018 (using threaded interrupts) [ 2.575938] nvidia-modeset: Loading NVIDIA Kernel Mode Setting Driver for UNIX platforms 384.130 Wed Mar 21 02:59:49 PDT 2018 [ 2.576962] [drm] [nvidia-drm] [GPU ID 0x00000500] Loading driver [ 2.577030] [drm] [nvidia-drm] [GPU ID 0x00000400] Loading driver [ 2.590360] clocksource: Switched to clocksource tsc [ 2.606251] init: failsafe main process (693) killed by TERM signal [ 2.616069] random: dbus-daemon: uninitialized urandom read (12 bytes read, 124 bits of entropy available) [ 2.618449] random: dbus-daemon: uninitialized urandom read (12 bytes read, 124 bits of entropy available) [ 2.635743] nvidia-uvm: Loaded the UVM driver in 8 mode, major device number 241 [ 2.674524] random: nonblocking pool is initialized [ 2.678916] systemd-udevd[776]: failed to execute '/bin/systemctl' '/bin/systemctl start --no-block nvidia-persistenced.service': No such file or directory [ 7.507516] nvidia-modeset: Allocated GPU:1 (GPU-debe2b79-7d7c-b48e-e93e-92f5881136ab) @ PCI:0000:05:00.0 [ 12.010315] tty_warn_deprecated_flags: 'ModemManager' is using deprecated serial flags (with no effect): 00008000 [ 32.726283] audit_printk_skb: 51 callbacks suppressed [ 32.726285] audit: type=1400 audit(1531765181.557:28): apparmor="STATUS" operation="profile_replace" profile="unconfined" name="/usr/lib/cups/backend/cups-pdf" pid=2416 comm="apparmor_parser" [ 32.726290] audit: type=1400 audit(1531765181.557:29): apparmor="STATUS" operation="profile_replace" profile="unconfined" name="/usr/sbin/cupsd" pid=2416 comm="apparmor_parser" ====================================================================================== On Mon, Jul 16, 2018 at 10:59 AM Andreas Kloeckner <li...@informa.tiker.net> wrote: > Harshit, > > Harshit Suri <h.r.s...@gmail.com> writes: > > I had a working installation of pycuda. However, after running updates on > > my Ubuntu machine; > > import pycuda.driver as cuda fails. > > ( I had also updated my anaconda install and updated all packages that > > anaconda found that required updates ) > > > > When I try running " import pycuda.driver " through jupyter notebook > > I get the following error message. Followed by a kernel crash > > > -------------------------------------------------------------------------- > > [I 10:02:37.765 NotebookApp] Adapting to protocol v5.1 for kernel > > 5fee93d7-62cf-468a-bcb0-b48e6f1d0987 > > terminate called after throwing an instance of 'std::runtime_error' > > what(): numpy failed to initialize > > [I 10:02:43.117 NotebookApp] KernelRestarter: restarting kernel (1/5), > keep > > random ports > > kernel 5fee93d7-62cf-468a-bcb0-b48e6f1d0987 restarted > > > -------------------------------------------------------------------------- > > It seems numpy fails to initialize. > > However if I try to import numpy independently, it passes successfully. > > > > My guess is that when I ran the updates it updated something that caused > > this. The installation for pycuda was done by "pip install pycuda" > > My guess would be Nvidia kernel/driver mismatch. Check the end of dmesg, > there might be a message there. > > Andreas >
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