Contents of my 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

# 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
# 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 (up to CUDA 5.5 compatible).
# For the latest architecture, you need to install CUDA >= 6.0 and uncomment
# the *_50 lines below.
CUDA_ARCH := -gencode arch=compute_52,code=sm_52

# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := open
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
BLAS_INCLUDE := /usr/local/Cellar/openblas/0.2.14_1/include
BLAS_LIB := /usr/local/Cellar/openblas/0.2.14_1/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
# Anaconda Python distribution is quite popular. Include path:
#PYTHON_INCLUDE := /usr/local/anaconda/include \
#		  /usr/local/anaconda/include/python2.7 \
#		  /usr/local/anaconda/lib/python2.7/site-packages/numpy/core/include
# I removed /usr/local/anaconda/include since that contains a clash for HDF5 headers (@csfoo).
PYTHON_INCLUDE := /Users/avantishrikumar/anaconda/include/python2.7 \
		  /Users/avantishrikumar/anaconda/lib/python2.7/site-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.
# PYTHON_LIB := /usr/lib
PYTHON_LIB := /Users/avantishrikumar/anaconda/lib

# Whatever else you find you need goes here.
# I reversed the order here to ensure that the system libraries get searched
# before anaconda's, which avoids problems at runtime (@csfoo).
INCLUDE_DIRS := /usr/local/include $(PYTHON_INCLUDE)
LIBRARY_DIRS := /usr/lib/x86_64-linux-gnu /usr/local/lib /usr/lib $(PYTHON_LIB)

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

WITH_PYTHON_LAYER := 1
# 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