## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda

# CUDA architecture setting: going with all of them.
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

# MKL directory contains include/ and lib/ directions that we need.
MKL_DIR := /opt/intel/mkl

# 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_INCLUDES := /usr/include/python2.7 \
    /usr/local/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# PYTHON_INCLUDES := $(HOME)/anaconda/include \
    # $(HOME)/anaconda/include/python2.7 \
    # $(HOME)/anaconda/lib/python2.7/site-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/local/lib
# PYTHON_LIB := $(HOME)/anaconda/lib

CXX := /usr/bin/g++
# For OS X, use clang++.
# CXX := /usr/bin/clang++
# For OS X 10.9, use libstdc++ instead of libc++ for CUDA compatibility.
# CXXFLAGS := -stdlib=libstdc++

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDES) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/lib /usr/local/lib

BUILD_DIR := build
DISTRIBUTE_DIR := distribute