Échec d’initialisation de NVML: non concordance de version de pilote / bibliothèque

Pouvez-vous m’aider s’il vous plaît à corriger cette erreur?

mona@pascal:~$ nvcc -V nvcc: NVIDIA (R) Cuda comstackr driver Copyright (c) 2005-2015 NVIDIA Corporation Built on Tue_Aug_11_14:27:32_CDT_2015 Cuda compilation tools, release 7.5, V7.5.17 mona@pascal:~$ nvidia-smi Failed to initialize NVML: Driver/library version mismatch mona@pascal:~$ lsmod | grep -i nvidia nvidia 8643887 0 drm 303102 1 nvidia 

Je reçois aussi ceci dans dmesg:

 mona@pascal:~$ dmesg | grep -i nvidia [623245.802854] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 [623245.814561] NVRM: make sure that this kernel module and all NVIDIA driver [623245.814568] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 [623245.826374] NVRM: make sure that this kernel module and all NVIDIA driver [623245.826382] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 [623245.838521] NVRM: make sure that this kernel module and all NVIDIA driver [623245.838529] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 [623245.850499] NVRM: make sure that this kernel module and all NVIDIA driver [623245.850508] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 [623245.863736] NVRM: make sure that this kernel module and all NVIDIA driver [623245.863744] NVRM: nvidia_frontend_ioctl: minor 255, module->ioctl failed, error -22 

Je reçois aussi cette erreur en exécutant le code ci-dessous:

 mona@pascal:~$ python Python 2.7.6 (default, Jun 22 2015, 17:58:13) [GCC 4.8.2] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally >>> hello = tf.constant('Hello, TensorFlow!') >>> sess = tf.Session() modprobe: ERROR: could not insert 'nvidia_361_uvm': Invalid argument E tensorflow/stream_executor/cuda/cuda_driver.cc:491] failed call to cuInit: CUDA_ERROR_UNKNOWN I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:153] resortingeving CUDA diagnostic information for host: pascal I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:160] hostname: pascal I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:185] libcuda reported version is: 361.93.2 I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:356] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module 352.99 Mon Jul 4 23:52:14 PDT 2016 GCC version: gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04.3) """ I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] kernel reported version is: 352.99.0 E tensorflow/stream_executor/cuda/cuda_diagnostics.cc:296] kernel version 352.99.0 does not match DSO version 361.93.2 -- cannot find working devices in this configuration I tensorflow/core/common_runtime/gpu/gpu_init.cc:81] No GPU devices available on machine. 

Aussi, j’ai:

 mona@pascal:~$ modprobe --resolve-alias nvidia nvidia_361 mona@pascal:~$ grep -r nvidia /etc/modprobe.d/ /etc/modprobe.d/blacklist-framebuffer.conf:blacklist nvidiafb /etc/modprobe.d/fbdev-blacklist.conf:blacklist nvidiafb /etc/modprobe.d/nvidia-361_hybrid.conf:# This file was installed by nvidia-361 /etc/modprobe.d/nvidia-352_hybrid.conf:# This file was installed by nvidia-352 mona@pascal:~$ modinfo nvidia-current modinfo: ERROR: Module nvidia-current not found. 

et

 mona@pascal:~$ sudo dkms status bbswitch, 0.7, 3.13.0-62-generic, x86_64: installed nvidia-361, 361.93.02, 3.13.0-62-generic, x86_64: installed 

C’est aussi la sortie de cat /var/log/apt/history.log

http://pastebin.com/mGFVKNxJ

Information additionnelle:

 mona@pascal:~$ find /lib/modules/$(uname -r) -name '*nvidia*.ko' -ls 28573964 1192 -rw-r--r-- 1 root root 1217712 Sep 29 17:55 /lib/modules/3.13.0-62-generic/updates/dkms/nvidia_361_uvm.ko 28573929 996 -rw-r--r-- 1 root root 1017864 Sep 29 17:55 /lib/modules/3.13.0-62-generic/updates/dkms/nvidia_361_modeset.ko 28573923 13768 -rw-r--r-- 1 root root 14095896 Sep 29 17:55 /lib/modules/3.13.0-62-generic/updates/dkms/nvidia_361.ko 28580212 72 -rw-r--r-- 1 root root 69700 Aug 11 2015 /lib/modules/3.13.0-62-generic/kernel/drivers/video/nvidia/nvidiafb.ko 

Toute approche systématique dans le débogage de ce problème est vraiment appréciée.