caffe

http://kyubot.tistory.com/93

https://github.com/BVLC/caffe/wiki/Commonly-encountered-build-issues

https://yunsangq.github.io/articles/2017-02/caffe

설치 중 발생한 에러 : make all했는데 

수없이 하다가

I solved the same problem by adding the following into the Makefile.config:
LINKFLAGS := -Wl,-rpath,$(HOME)/anaconda3/lib

https://github.com/BVLC/caffe/issues/6139

여기서 발견

=====================================================================================

- Anaconda3

- Cuda 8.0

- Cudnn 5.1

- bottom이라는 python 2.7버전의 환경

(!!!python3.6에서는 import caffe가 안됌)

이전과 같은 dynamic module 에러가 발생하는데 원인을 모르겠음

성공했을 때의 Makefile.config

## Refer to http://caffe.berkeleyvision.org/installation.html

# Contributions simplifying and improving our build system are 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 (only if necessary)

# You should not set this flag if you will be reading LMDBs with any

# possibility of simultaneous read and write

# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3

OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following.

# N.B. the default for Linux is g++ and the default for OSX is clang++

# CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need.

CUDA_DIR := /usr/local/cuda-8.0

# On Ubuntu 14.04, if cuda tools are installed via

# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:

# CUDA_DIR := /usr

# CUDA architecture setting: going with all of them.

# For CUDA < 6.0, comment the *_50 lines for compatibility.

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_50,code=compute_50

# BLAS choice:

# atlas for ATLAS (default)

# mkl for MKL

# open for OpenBlas

BLAS := atlas

# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

# Leave commented to accept the defaults for your choice of BLAS

# (which should work)!

# BLAS_INCLUDE := /path/to/your/blas

# BLAS_LIB := /path/to/your/blas

# Homebrew puts openblas in a directory that is not on the standard search path

# BLAS_INCLUDE := $(shell brew --prefix openblas)/include

# BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface.

# MATLAB directory should contain the mex binary in /bin.

# MATLAB_DIR := /usr/local

# MATLAB_DIR := /Applications/MATLAB_R2012b.app

# NOTE: this is required only if you will compile the python interface.

# We need to be able to find Python.h and numpy/arrayobject.h.

#PYTHON_INCLUDE := /usr/include/python2.7 /usr/lib/python2.7/dist-packages/numpy/core/include /usr/local/lib/python2.7

PYTHON_INCLUDE := /usr/include/python2.7 /usr/local/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)/anaconda2

# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \

# $(ANACONDA_HOME)/include/python2.7 \

# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include

# Uncomment to use Python 3 (default is Python 2)

# PYTHON_LIBRARIES := boost_python3 python3.5m

# PYTHON_INCLUDE := /usr/include/python3.5m \

#                 /usr/lib/python3.5/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.

#PYTHON_LIB := /usr/lib/python2.7

#PYTHON_LIB := $(ANACONDA_HOME)/lib

PYTHON_LIB := $(HOME)/anaconda/lib

# Homebrew installs numpy in a 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 written in Python (will link against Python libs)

WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here.

#INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include

#LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial

LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general 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 are normally installed in one of the above $LIBRARY_DIRS.)

# USE_PKG_CONFIG := 1

# N.B. both build and distribute dirs are cleared on `make clean`

BUILD_DIR := build

DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171

# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.

TEST_GPUID := 0

#THIS IS JISU

LINKFLAGS := -Wl,-rpath,$(HOME)/anaconda3/lib

# enable pretty build (comment to see full commands)

Q ?= @

 이 때 당시의 bashrc 파일

# ~/.bashrc: executed by bash(1) for non-login shells.

# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)

# for examples

# If not running interactively, don't do anything

case $- in

    *i*) ;;

      *) return;;

esac

# don't put duplicate lines or lines starting with space in the history.

# See bash(1) for more options

HISTCONTROL=ignoreboth

# append to the history file, don't overwrite it

shopt -s histappend

# for setting history length see HISTSIZE and HISTFILESIZE in bash(1)

HISTSIZE=1000

HISTFILESIZE=2000

# check the window size after each command and, if necessary,

# update the values of LINES and COLUMNS.

shopt -s checkwinsize

# If set, the pattern "**" used in a pathname expansion context will

# match all files and zero or more directories and subdirectories.

#shopt -s globstar

# make less more friendly for non-text input files, see lesspipe(1)

[ -x /usr/bin/lesspipe ] && eval "$(SHELL=/bin/sh lesspipe)"

# set variable identifying the chroot you work in (used in the prompt below)

if [ -z "${debian_chroot:-}" ] && [ -r /etc/debian_chroot ]; then

    debian_chroot=$(cat /etc/debian_chroot)

fi

# set a fancy prompt (non-color, unless we know we "want" color)

case "$TERM" in

    xterm-color|*-256color) color_prompt=yes;;

esac

# uncomment for a colored prompt, if the terminal has the capability; turned

# off by default to not distract the user: the focus in a terminal window

# should be on the output of commands, not on the prompt

#force_color_prompt=yes

if [ -n "$force_color_prompt" ]; then

    if [ -x /usr/bin/tput ] && tput setaf 1 >&/dev/null; then

# We have color support; assume it's compliant with Ecma-48

# (ISO/IEC-6429). (Lack of such support is extremely rare, and such

# a case would tend to support setf rather than setaf.)

color_prompt=yes

    else

color_prompt=

    fi

fi

if [ "$color_prompt" = yes ]; then

    PS1='${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[00m\]\$ '

else

    PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '

fi

unset color_prompt force_color_prompt

# If this is an xterm set the title to user@host:dir

case "$TERM" in

xterm*|rxvt*)

    PS1="\[\e]0;${debian_chroot:+($debian_chroot)}\u@\h: \w\a\]$PS1"

    ;;

*)

    ;;

esac

# enable color support of ls and also add handy aliases

if [ -x /usr/bin/dircolors ]; then

    test -r ~/.dircolors && eval "$(dircolors -b ~/.dircolors)" || eval "$(dircolors -b)"

    alias ls='ls --color=auto'

    #alias dir='dir --color=auto'

    #alias vdir='vdir --color=auto'

    alias grep='grep --color=auto'

    alias fgrep='fgrep --color=auto'

    alias egrep='egrep --color=auto'

fi

# colored GCC warnings and errors

#export GCC_COLORS='error=01;31:warning=01;35:note=01;36:caret=01;32:locus=01:quote=01'

# some more ls aliases

alias ll='ls -alF'

alias la='ls -A'

alias l='ls -CF'

# Add an "alert" alias for long running commands.  Use like so:

#   sleep 10; alert

alias alert='notify-send --urgency=low -i "$([ $? = 0 ] && echo terminal || echo error)" "$(history|tail -n1|sed -e '\''s/^\s*[0-9]\+\s*//;s/[;&|]\s*alert$//'\'')"'

# Alias definitions.

# You may want to put all your additions into a separate file like

# ~/.bash_aliases, instead of adding them here directly.

# See /usr/share/doc/bash-doc/examples in the bash-doc package.

if [ -f ~/.bash_aliases ]; then

    . ~/.bash_aliases

fi

# enable programmable completion features (you don't need to enable

# this, if it's already enabled in /etc/bash.bashrc and /etc/profile

# sources /etc/bash.bashrc).

if ! shopt -oq posix; then

  if [ -f /usr/share/bash-completion/bash_completion ]; then

    . /usr/share/bash-completion/bash_completion

  elif [ -f /etc/bash_completion ]; then

    . /etc/bash_completion

  fi

fi

# added by Anaconda2 installer

#export PATH="/home/ai8503/anaconda2/bin:$PATH"

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

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

export PYTHONPATH="${PYTHONPATH}:/home/ai8503/anaconda3/include/python3.6"

#export PYTHONPATH="${PYTHONPATH}:/home/ai8503/anaconda3/include/python2.7"

export SPEAKER_PATH_PREFIX=tasks/R2R/snapshots/release/speaker_final_release

export FOLLOWER_PATH_PREFIX=tasks/R2R/snapshots/release/follower_final_release

#export SPEAKER_PATH_PREFIX=tasks/R2R/speaker/snapshots/speaker_teacher_imagenet_mean_pooled_train_iter_20000

#export FOLLOWER_PATH_PREFIX=tasks/R2R/snapshots/follower_sample_imagenet_mean_pooled_train_iter_20000

export PATH="/home/ai8503/anaconda3/bin:$PATH"

export EVAL_FILE_PREFIX=tasks/R2R/eval_outputs/pragmatics_physical

. /home/ai8503/torch/install/bin/torch-activate

export PYTHONPATH=~/caffe/python

export CAFFE_ROOT=$HOME/caffe

# added by Anaconda3 installer

#nccl

export NCCL_ROOT_DIR=/usr/local/nccl

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/nccl/lib

export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"

export CUDA_HOME=/usr/local/cuda

export PYTHONPATH=$HOME/caffe/python:$PYTHONPATH

export CPLUS_INCLUDE_PATH=/usr/include/python2.7