I am follow this to install cuda and cudnn http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html

Does the below output mean that cuda is already properly installed ? What other code must i type to check if cuda has been properly installed ?

usr@usr-P15SM:~$ ldconfig -p | grep cuda
libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

usr@usr-P15SM:~$ nvidia-smi
Wed Apr  4 10:22:41 2018       
| NVIDIA-SMI 384.111                Driver Version: 384.111                   |
| 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 780M    Off  | 00000000:01:00.0 N/A |                  N/A |
| N/A   47C    P8    N/A /  N/A |    173MiB /  4036MiB |     N/A      Default |

| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|    0                    Not Supported                                       |

usr@usr-P15SM:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler 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

But when i go to this step http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#verify,

To verify that cuDNN is installed and is running properly, compile the mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory in the debian file.

but i cannot find /usr/src/cudnn_samples_v7 ? Help please easy question free points.

3 Answers 3


You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.


You dont need to go to < /usr/src/cudnn_samples_v7> to ensure the installation if you installed the cuDNN with .tgz file.

You can ensure the installation by following:

cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

It will show the following O/P

#define CUDNN_MAJOR 7
#define CUDNN_MINOR 6

#include "driver_types.h"

Nvidia SDK doc:

2.3.2. Installing from a Debian File

  1. Install the code samples and the cuDNN Library User Guide, for example: sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb

You need to download the deb file and install the code samples with the above code.

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