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In the example below, ubuntu 16.04 LTS is used with cuda 9.0 (deb install), cudnn 7.0.5 (deb install), tensorrt 3.0.4 (deb install), as well as bazel 0.18.1 (.sh file install) (0.11.1 also works)

Other linux distributions with nvidia tar install are possible too (some other versions have been tested here), but it is easier to do it like that, and remember that this is just an example. The settings below have been tested to be working and to fix most common path issues, and are shown as an interactive help :

1) post-install of cuda : do the path exports

After cuda 9.0 deb install and cudnn 7.0.5 deb are installed successfully, one post install step is needed : add the path to cuda-9.0. Here we do an all in once step by also including the path of cudnn even if cudnn is not installed yet.

The export command alone adds the path during current boot, but the changes will be lost after reboot. This is why we will add paths permanently using bashrc

bashrc

edit bashrc file :

sudo nano ~/.bashrc

you need to add the lines below at the end of the bashrc file (using nano, or the text editor of your choice) :

# add paths for cuda-9.0
export PATH=${PATH}:/usr/local/cuda-9.0/bin

# in case you use tensorrt tar install 
# add paths for cuda and cudnn install paths
export CUDA_INSTALL_DIR=/usr/local/cuda
export CUDNN_INSTALL_DIR=/usr/local/cuda

With nano, after editing is finished, save and exit with Ctrl+X + then press y + then press ENTER key.

Now update bashrc file :

source ~/.bashrc

as you can now see, now the command nvcc --version will work successfully :

nvcc --version

should display something like this :

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176

you can also check if cuda installation is a success with cat /proc/driver/nvidia/version

should display something like this :

NVRM version: NVIDIA UNIX x86_64 Kernel Module  384.130  Wed Mar 21 03:37:26 PDT 2018
GCC version:  gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.10)

If you need help of how to install the deb files of cuda 9.0, cudnn 7.0.5, and tensorrt 3.0.4 for ubuntu 16.04, you can go here @wonderingabout

1b) after cuda 9.0 and cudnn 7.0.5 deb installs, test your cudnn

run a test to see if your install works by compiling and runing a cudnn code sample :

cp -r /usr/src/cudnn_samples_v7/ ~ && cd ~/cudnn_samples_v7/mnistCUDNN && make clean && make && ./mnistCUDNN

should display this : Test passed!

2) locate cuda and cudnn paths, and update database if not here

Run this command : locate libcudart.so && locate libcudnn.so.7

you need to see something like this :

/usr/local/cuda-9.0/doc/man/man7/libcudart.so.7
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudart.so
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudart.so.9.0
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudart.so.9.0.176
/usr/lib/x86_64-linux-gnu/libcudnn.so.7
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.0.5

If you don't see this, run this command :

sudo updatedb && locate libcudart.so && locate libcudnn.so.7

It should now display all the cuda and cudnn paths same as above.

3) during bazel compile, this is the paths you need to put

Press ENTER for every prompt to choose default settings (or n if you dont want a setting), except for these :

  • CUDA : choose y , version 9.0 if it is not default (then leave path to default by pressing ENTER)
  • cudnn : choose version 7.0.5 (then leave default path by pressing ENTER)
  • if you want to use tensorrt do y and press enter to keep default path if you did tensorrt deb install, but for tar install you need to setup manually your path, as you can see here @wonderingabout

same as below :

Do you wish to build TensorFlow with CUDA support? [y/N]: y 
CUDA support will be enabled for TensorFlow.

Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 9.0]:

Please specify the location where CUDA 9.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:

Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: 7.0.5

Please specify the location where cuDNN 7 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda-9.0/]:

Do you wish to build TensorFlow with TensorRT support? [y/N]: y
TensorRT support will be enabled for TensorFlow.

Please specify the location where TensorRT is installed. [Default is /usr/lib/x86_64-linux-gnu]:

note : (tar install is needed to install .whl to inrcease max batch size with tensorrt), see : #75

Final words :

Remember that these settings are just an example, other settings or package versions or linux distributions are possible too, but this example has been tested to successfully work on ubuntu 16.04 LTS with deb install of cuda 9.0, deb install of cudnn 7.0.5, deb install of tensorrt 3.0.4, as well as .sh file install of bazel 0.11.1

They are provided as a general help for linux compile and run, they are not an obligatory method to use, but will hopefully make using PhoenixGo on linux systems easier

credits :

minor sources :