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## 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 | |
# This code is taken from https://github.com/sh1r0/caffe-android-lib | |
#USE_HDF5 := 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 | |
# 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 through *_61 lines for compatibility. | |
# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility. | |
# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility. | |
CUDA_ARCH := -gencode arch=compute_37,code=sm_37 | |
# 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/python3.7 \ | |
# /usr/lib/python3.7/dist-packages/numpy/core/include | |
# Anaconda Python distribution is quite popular. Include path: | |
# Verify anaconda location, sometimes it's in root. | |
# ANACONDA_HOME := $(HOME)/anaconda | |
# 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 python3.7m | |
PYTHON_INCLUDE := /usr/include/python3.7m \ | |
/usr/local/lib/python3.7/dist-packages/numpy/core/include/numpy | |
# We need to be able to find libpythonX.X.so or .dylib. | |
PYTHON_LIB := /usr/lib | |
# PYTHON_LIB := $(ANACONDA_HOME)/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 /usr/include/hdf5/serial/ /usr/include/hdf5/serial/ | |
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib | |
# 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 | |
# enable pretty build (comment to see full commands) | |
Q ?= @ |
updated -gencode arch=compute_37,code=sm_37
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fix version python