└── README.md


/README.md:
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  1 | How to install Caffe on Ubuntu 16.04 with GPU (Cuda 8.0.61, CuDNN 6.0)
  2 | 
  3 | (Tested on GeForce GT 635M and GeForce GTX 660)
  4 | 
  5 | 
  6 | 
  7 | install nvidia drivers (go to software&updates - choose last proprietary tested) - not needed if use cuda.run file 
  8 | 
  9 | download cuda 8.0 https://developer.nvidia.com/cuda-release-candidate-download
 10 | 
 11 | download cudnn 6.0 Library for Linux https://developer.nvidia.com/rdp/cudnn-download
 12 | 
 13 | 
 14 | ```shell
 15 | 
 16 | sudo apt-get install -y build-essential cmake git pkg-config
 17 | 
 18 | sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler
 19 | 
 20 | sudo apt-get install -y libatlas-base-dev
 21 | 
 22 | sudo apt-get install -y --no-install-recommends libboost-all-dev
 23 | 
 24 | sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev
 25 | 
 26 | sudo apt-get install -y python-pip
 27 | 
 28 | sudo apt-get install -y python-dev
 29 | 
 30 | sudo apt-get install -y python-numpy python-scipy
 31 | 
 32 | sudo apt-get install -y libopencv-dev
 33 | ```
 34 | 
 35 | CUDA
 36 | 
 37 | ```shell
 38 | 
 39 | #for cuda.deb (I got Error Unmet dependencies for last vesrion of cuda 8.0.61 so better download .run file):
 40 | #sudo dpkg -i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb
 41 | #sudo apt-get update
 42 | #sudo apt-get install cuda
 43 | #sudo apt-get install cuda-drivers
 44 | 
 45 | #for cuda.run file (follow the on-screen prompts):
 46 | 
 47 | sudo sh cuda_8.0.61_375.26_linux.run
 48 | 
 49 | #next for both
 50 | 
 51 | echo 'export PATH=/usr/local/cuda-8.0/bin:$PATH' » ~/.bashrc
 52 | 
 53 | echo 'export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
 54 | 
 55 | #restart terminal
 56 | 
 57 | cd /usr/local/cuda-8.0/samples/
 58 | 
 59 | sudo make all -j8
 60 | ```
 61 | 
 62 | CUDNN
 63 | 
 64 | ```shell
 65 | 
 66 | #create folder in home directory. for example
 67 | 
 68 | mkdir ~/code
 69 | 
 70 | cd ~/code
 71 | 
 72 | tar -xzvf cudnn-8.0-linux-x64-v5.1.tgz #or extract cudnn file
 73 | 
 74 | cd cuda/lib64/
 75 | 
 76 | sudo cp lib* /usr/local/cuda-8.0/lib64/
 77 | 
 78 | cd cuda/include/
 79 | 
 80 | sudo cp cudnn.h /usr/local/cuda-8.0/include/
 81 | ```
 82 | 
 83 | CAFFE
 84 | 
 85 | ```shell
 86 | 
 87 | cd code
 88 | 
 89 | git clone https://github.com/BVLC/caffe.git
 90 | 
 91 | cd caffe/python/
 92 | 
 93 | for req in $(cat requirements.txt); do sudo -H pip install $req --upgrade; done
 94 | 
 95 | sudo apt-get update
 96 | 
 97 | #export PYTHONPATH to your python folder in caffe folder (don't forget to write your user name and folder correctly)
 98 | #for example:
 99 | 
100 | echo 'export PYTHONPATH=/home/user/code/caffe/python:$PYTHONPATH' >> ~/.bashrc
101 | 
102 | 
103 | cd /usr/lib/x86_64-linux-gnu
104 | 
105 | sudo ln -s libhdf5_serial.so.10.1.0 libhdf5.so
106 | 
107 | sudo ln -s libhdf5_serial.so.10.1.0 libhdf5_hl.so
108 | 
109 | 
110 | cd caffe
111 | 
112 | cp Makefile.config.example Makefile.config
113 | 
114 | 
115 | #check make.config file in caffe folder:
116 | ```
117 | uncomment: 
118 | 
119 | >USE_CUDNN := 1 
120 | 
121 | >WITH_PYTHON_LAYER := 1
122 | 
123 | change: 
124 | 
125 | >CUDA_DIR := /usr/local/cuda-8.0
126 | 
127 | >PYTHON_INCLUDE := /usr/include/python2.7 /usr/lib/python2.7/dist-packages/numpy/core/include 
128 | 
129 | >INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
130 | 
131 | >LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
132 | 
133 | ```shell
134 | cd caffe/build
135 | 
136 | cmake ..
137 | 
138 | cd code/caffe
139 | 
140 | make all -j8
141 | 
142 | make test
143 | 
144 | sudo reboot
145 | 
146 | make runtest
147 | 
148 | cd code/caffe
149 | 
150 | make pycaffe
151 | 
152 | make distribute
153 | 
154 | python
155 | 
156 | import caffe
157 | ```
158 | CONGRATS!
159 | 


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