"21 Days Combat Caffe" study notes (i) Ubuntu16.04+caffe environment construction

2. Pre-Installation Preparation work:

   sudo Install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-Compiler  sudoinstall --no-install-recommends libboost-all-devsudo  Install libatlas-base-devsudoinstall the python-devsudo Install Libgflags-dev libgoogle-glog-dev Liblmdb-dev

4. "Optional" Installation Cuda and anaconda, see Ubuntu16.04+theano Environment in detail
6. Download Caffe:

   git clone https://github.com/bvlc/caffe.git

8. To modify a configuration file:

   CD caffe/CP Makefile.config.example makefile.config

9. Modify various paths in the configuration file

   Vim Makefile.config.

   The configuration file I configured is:

   # # Refer to http://caffe.berkeleyvision.org/installation.html# Contributions simplifying and improving our build system is welcome!# CuDNN Acceleration switch (uncomment to build with CuDNN). USE_CUDNN:=1# CPU-Only switch (uncomment to build without GPU support). # Cpu_only:=1# Uncomment to disable IO dependencies and corresponding data layers# USE_OPENCV:=0# Use_leveldb:=0# Use_lmdb:=0# Uncomment to allow Mdb_nolock when reading LMDB files ( onlyifnecessary) # You should no set this flagifYou'll be reading Lmdbs with any# possibility of simultaneous read andWrite# Allow_lmdb_nolock:=1# UncommentifYou're using OpenCV 3# opencv_version: =3# To customize your choice of compiler, uncomment and set the following.# n.b. The default forLinux is g++ and the default forOSX is clang++# Custom_cxx:= g++# CUDA directory contains bin/And lib/directories that we need. Cuda_dir:=/usr/local/cuda# on Ubuntu14.04,ifCuda Tools is installed via#"sudo apt-get install Nvidia-cuda-toolkit"  ThenUse this instead:# cuda_dir:= /usr# cuda Architecture setting:going with all of them.# for CUDA<6.0, comment The *_50 through *_61 lines forcompatibility.# for CUDA<8.0, comment The *_60 and *_61 lines forcompatibility. Cuda_arch:=-gencode arch=compute_20,code=sm_20-gencode arch=compute_20,code=sm_21-gencode arch=compute_30,code=sm_30-gencode arch=compute_35,code=sm_35-gencode arch=compute_50,code=sm_50-gencode arch=compute_52,code=sm_52-gencode arch=compute_60,code=sm_60-gencode arch=compute_61,code=sm_61-gencode arch=compute_61,code=compute_61# BLAS choice:# Atlas forATLAS (default) # MKL formkl# Open forOpenblasblas:=atlas# Custom (MKL/atlas/Openblas) include and Lib directories.# Leave commented to accept the defaults forYour choice of blas# (whichshould work)!# Blas_include:=/path/to/your/blas# blas_lib:=/path/to/your/blas# Homebrew puts OpenblasinchA directory that's not on the standard search path# blas_include:= $ (Shell brew--prefix openblas)/include# blas_lib:= $ (Shell brew--prefix openblas)/lib# This was required onlyifYou'll compile the matlab interface.# matlab directory should contain the MEX binaryinch/bin.# Matlab_dir:=/usr/local# Matlab_dir:=/applications/matlab_r2012b.app# Note:this is required onlyifYou'll compile the Python interface.# We need to being able toFindPython.h and numpy/Arrayobject.h.python_include:=/usr/include/python2.7                 /usr/lib/python2.7/dist-packages/numpy/core/include# Anaconda Python distribution is quite popular. Include path:# Verify Anaconda location, sometimes it's in root.Anaconda_home: = $ (HOME)/Anaconda2python_include:= $ (anaconda_home)/include $ (anaconda_home)/include/python2.7$ (anaconda_home)/lib/python2.7/site-packages/numpy/core/include# Uncomment to use Python3(Default is Python2) # Python_libraries:=boost_python3 python3.5m# python_include:=/usr/include/Python3.5m #/usr/lib/python3.5/dist-packages/numpy/core/include# We need to being able toFindlibpythonx.x.so or. Dylib. Python_lib:=/usr/lib# python_lib:= $ (anaconda_home)/lib# Homebrew installs NumPyincha non standard path (keg only) # Python_include+= $(dir$ (Shell python-c'import numpy.core; print (numpy.core.__file__)'))/include# Python_lib+ = $ (Shell brew--prefix numpy)/lib# uncomment to support layers writteninchpython (would link against Python libs) # With_python_layer:=1# WhateverElseYouFindYou need goes. Include_dirs:= $ (python_include)/usr/local/include/usr/include/hdf5/Seriallibrary_dirs:= $ (python_lib)/usr/local/lib/usr/lib/usr/lib/x86_64-linux-gnu/hdf5/serial# If Homebrew is installed at a non forExample your home directory) and use it forGeneral dependencies# Include_dirs+ = $ (Shell brew--prefix)/include# Library_dirs+ = $ (Shell brew--prefix)/lib# NCCL acceleration switch (uncomment to build with NCCL) # https://GITHUB.COM/NVIDIA/NCCL (last tested version:v1.2.3-1+cuda8.0)# USE_NCCL: =1# Uncomment to use 'Pkg-config' to specify OpenCV library paths.# (usually not necessary--OpenCV libraries is normally installedinchOne of the above $LIBRARY _dirs.) # Use_pkg_config:=1# n.b. Both build and distribute dirs is cleared on ' MakeClean ' Build_dir:=Builddistribute_dir:=distribute# Uncomment forDebugging. Does not work on OS X due to https://github.com/bvlc/caffe/issues/171# DEBUG: =1# The ID of the GPU that'Make runtest'Would use the to run unit tests. Test_gpuid:=0# Enable pretty build (comment to see full commands) Q?= @

11. "Note" Do not copy and paste directly (user name is not correct), note that add hdf5 about the path, no cuda need to put cpu_only: = 1 before the # number removed, install Anaconda users Note that its file name is ~/anaconda2
13. Compile:

     Make  All  Make Test  make Runtest

15. Success without error

"21 Days Combat Caffe" study notes (i) Ubuntu16.04+caffe environment construction