Installing CUDA 8.0 + cuDNN 5.1 + TensorFlow with Ubuntu 14.04 (上)

花了一天在Ubuntu 14.04安裝CUDA 8.0 + cuDNN 5.1 + TensorFlow，最終成功，記錄一下安裝過程，友善日後重裝。教程大多來自外網，是以就用英文記錄，不翻譯了。1080 Ti記得在所有步驟走完之後，sudo apt-get update一把，把顯示卡驅動更新，不然會不識别1080 Ti。

目錄：

Installing CUDA 8.0 + cuDNN 5.1 + TensorFlow with Ubuntu 14.04 (上)

Installing CUDA 8.0 + cuDNN 5.1 + TensorFlow with Ubuntu 14.04 (下)

百度雲盤連結: https://pan.baidu.com/s/1hsePmWO 密碼: 5n1w

Step 1. Installing CUDA 8.0

(1.) Install build essentials.

sudo apt-get install build-essential
           

(2.) Go to https://developer.nvidia.com/cuda-downloads 或者百度雲位址 and download CUDA toolkit 8.0 for Ubuntu 14.04.

(3.) Open up a terminal and extract the separate installers via:

mkdir ~/Downloads/nvidia_installers;
cd ~/Downloads
./cuda_7.5.18_linux.run -extract=~/Downloads/nvidia_installers;
           

(4.) Completely uninstall anything in the ubuntu repositories with nvidia-*. I used synaptic and did a purge, AKA completely uninstall programs and configuration.

sudo apt-get --purge remove nvidia-*
           

(5.) No need to create an xorg.conf file. If you have one, remove it (assuming you have a fresh OS install).

sudo rm /etc/X11/xorg.conf
           

(6.) Create the /etc/modprobe.d/blacklist-nouveau.conf file with the 2 following lines:

blacklist nouveau
options nouveau modeset=0
           

Then do a

sudo update-initramfs -u
           

(7.) Reboot computer. Nothing should have changed in loading up menu. You should be taken to the login screen. Once there type: Ctrl + Alt + F1, and login to your user. Keep the next commands handy in another machine since now you are in tty.

(8.) In tty:

sudo service lightdm stop
           

The top line is a necessary step for installing the driver.

(9.) [For Ubuntu 14.04]

sudo sh cuda_8.0.61_375.26_linux.run --no-opengl-libs
           

(10.) Set Environment path variables in .bashrc:

export PATH=/usr/local/cuda-8.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
           

(11.) Verify the driver version:

cat /proc/driver/nvidia/version
           

(12.) Check CUDA driver version:

nvcc -V
           

(13.) At this point you can switch the lightdm back on again by doing:

sudo service lightdm start.
           

(14.) BOTH 16.04 and 14.04

cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery
           

if you get something wrong, check if there is some device named "nvidia*" in /dev

ls /dev
           

if not see "nvidia*", use "

touch nvi.sh
sudo gedit nvi.sh
           

add the following :

#!/bin/bash
/sbin/modprobe nvidia
if [ "$?" -eq 0 ]; then
# Count the number of NVIDIA controllers found.
NVDEVS=`lspci | grep -i NVIDIA`
N3D=`echo "$NVDEVS" | grep "3D controller" | wc -l`
NVGA=`echo "$NVDEVS" | grep "VGA compatible controller" | wc -l`
N=`expr $N3D + $NVGA - 1`
for i in `seq 0 $N`; do
mknod -m 666 /dev/nvidia$i c 195 $i
done
mknod -m 666 /dev/nvidiactl c 195 255
else
exit 1
fi
/sbin/modprobe nvidia-uvm
if [ "$?" -eq 0 ]; then
# Find out the major device number used by the nvidia-uvm driver
D=`grep nvidia-uvm /proc/devices | awk '{print $1}'`
mknod -m 666 /dev/nvidia-uvm c $D 0
else
exit 1
fi 
           

then :

sudo chmod a+x nvi.sh
sudo ./nvi.sh
           

run ./deviceQuery again.

Something like this should show up

[email protected]:/usr/local/cuda/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "Quadro M1000M"
  CUDA Driver Version / Runtime Version          8.0 / 7.5
  CUDA Capability Major/Minor version number:    5.0
  Total amount of global memory:                 2002 MBytes (2099642368 bytes)
  ( 4) Multiprocessors, (128) CUDA Cores/MP:     512 CUDA Cores
  GPU Max Clock rate:                            1072 MHz (1.07 GHz)
  Memory Clock rate:                             2505 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 2097152 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     No
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = Quadro M1000M
Result = PASS
           

Done!!

References:

https://www.pugetsystems.com/labs/hpc/NVIDIA-CUDA-with-Ubuntu-16-04-beta-on-a-laptop-if-you-just-cannot-wait-775/

https://devtalk.nvidia.com/default/topic/878117/cuda-setup-and-installation/-solved-titan-x-for-cuda-7-5-login-loop-error-ubuntu-14-04-/

http://askubuntu.com/questions/451672/installing-and-testing-cuda-in-ubuntu-14-04