A list of post installation of Ubuntu
sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
sudo apt-get update
sudo apt-get upgrade
Google Chrome
http://cn.soulmachine.me/2016-08-17-deep-learning-cuda-development-environment/
Driver:
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get install nvidia-375 (gforce) -377(quadro)
1. 'stop x server'
'Ctrl + Alt + F1' ===> terminal
sudo service lightdm stop
2. download and install driver
sudo sh NVIDIA.......
Cuda #install
sudo sh cuda_8.0.27_linux.run --tmpdir=/tmp --override
sudo sh cuda_8.0.27.1_linux.run
~/.bashrc
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
#test
cd ~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery
make
./deviceQuery
cd ~/NVIDIA_CUDA-8.0_Samples/5_Simulations/nbody/
make
./nbody -benchmark -numbodies=256000 -device=0
Output:
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
gpuDeviceInit() CUDA Device [0]: "GeForce GTX 1080
> Compute 6.1 CUDA device: [GeForce GTX 1080]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 2364.286 ms
= 277.192 billion interactions per second
= 5543.830 single-precision GFLOP/s at 20 flops per interaction
cuDNN
'copy ../cuda/include/*.h to /usr/local/cuda-8.0/include/'
'copy ../cuda/lib64/*.* to /usr/local/cuda-8.0/lib64'
**'/usr/local/cuda-8.0' is the path where CUDA installed.
Tensorflow
sudo apt-get install libcurl3-dev
$ conda install virtualenv # suggested by the output of terminal not using pip install
$ conda create --name=tensorflow_env python=3.5
$ source activate tensorflow_env
$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl # the code you provided is for the python 3
(to delete env: conda env remove --name tensorflow)
Rebuild tensorflow with CUDA!!!
https://alliseesolutions.wordpress.com/2016/09/08/install-gpu-tensorflow-from-sources-w-ubuntu-16-04-and-cuda-8-0-rc/
Note:
1. Install protobuf 3.0!!MUST BE 3.0
pip install protobuf3
2. MUST downloads tensorflow from online, NOT get from the command line!!!
In build:
$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package ~/Downloads/tensorflow_pkg
$ sudo pip3 install ~/Downloads/tensorflow_pkg/tensorflow-0.10.0-py3-none-any.whl
######==========================================================================
Caffe:
http://caffe.berkeleyvision.org/installation.html#prerequisites
In compiling opencv, BEFORE 'make':
In file 'modules/cudalegacy/src/graphcuts.cpp' change:
-#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
+// GraphCut has been removed in NPP 8.0
+#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)
prereqisites:
1. protobuf
sudo apt-get install autoconf automake libtool curl make g++ unzip
2. glog, etc..
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
3. hdf5
sudo apt-get install hdf5-tools
cd /usr/lib/x86_64-linux-gnu
sudo ln -s libhdf5_serial.so.10.1.0 libhdf5.so
sudo ln -s libhdf5_serial_hl.so.10.0.2 libhdf5_hl.so
Changes in Makefile.config
Uncomment 'OPENCV_VERSION := 3', 'USE_CUDNN := 1', 'ANACONDA_HOME := $(HOME)/anaconda3/envs/caffe/', 'PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
# $(ANACONDA_HOME)/include/python3.5 \
# $(ANACONDA_HOME)/lib/python3.5/site-packages/numpy/core/include \', 'USE_PKG_CONFIG := 1'
(BEFORE 'make all' for caffe)
find . -type f -exec sed -i -e 's^"hdf5.h"^"hdf5/serial/hdf5.h"^g' -e 's^"hdf5_hl.h"^"hdf5/serial/hdf5_hl.h"^g' '{}' \;
mkdir build
cd build
cmake ..
make all (Or cmake -DWITH_IPP=ON . && make -j $(nproc) && make install???)
make install
make runtest
C++
CodeBlocks:
sudo add-apt-repository ppa:damien-moore/codeblocks-stable
sudo apt-get update
Anaconda
Pycharm:
sudo add-apt-repository ppa:mystic-mirage/pycharm
sudo apt-get update
sudo apt-get install pycharm-comminity
Notepad++:
sudo add-apt-repository ppa:notepadqq-team/notepadqq
sudo apt-get update
sudo apt-get install notepadqq
But Helios 44 adapted, will give you almost identical results.
