blob: e747d2a76ad653efbe1e4a516b8b3c7e8f9ea629 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
|
## 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 switch: set to 1 for MKL
USE_MKL := 0
# 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
# uncomment for debugging
#DEBUG := 1
|
