Internal Error: CUDA driver version insufficient for CUDA runtime version

Hello!

I’m trying to implement a network and I get the following error:

InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version

I have two CUDA versions in my PC, 10.0 and 9.0. This is the first time I’m using 10.0. I already exported the paths.

tf-gpu version=1.14

The compatibility requirements are such according to the docs:

CUDA 10.0 (10.0.130) >= 410.48

The following NVIDIA® software must be installed on your system:

NVIDIA® GPU drivers —CUDA 10.0 requires 410.x or higher.
CUDA® Toolkit —TensorFlow supports CUDA 10.0 (TensorFlow >= 1.13.0)
CUPTI ships with the CUDA Toolkit.
cuDNN SDK (>= 7.4.1)
(Optional) TensorRT 5.0 to improve latency and throughput for inference on some models.

My details are such:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.48                 Driver Version: 410.48                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1080    Off  | 00000000:01:00.0  On |                  N/A |
|  0%   57C    P2    39W / 210W |    145MiB /  8116MiB |      1%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce GTX 1080    Off  | 00000000:02:00.0 Off |                  N/A |
|  0%   36C    P8    10W / 210W |      2MiB /  8119MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1195      G   /usr/lib/xorg/Xorg                            92MiB |
|    0      1336      G   /usr/bin/gnome-shell                          50MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130

I believe I have satisfied the compatibility requirements. Or am I missing anything?

Thank you for your help!