## 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 # 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. 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 # BLAS choice: # atlas for ATLAS (default) # mkl for MKL # open for OpenBlas BLAS := mkl # 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/include /home/vsharma/intel/mkl/include/ BLAS_LIB := /home/vsharma/intel/mkl/lib/intel64 # 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 MATLAB_DIR :=/cvhci/software/matlab/install/R2016a # 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: # 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 python3.5m # 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 # 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.: WITH OPENCV2.4013 #INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include /home/vsharma/Codes/cuDNNv5/include /home/vsharma/Codes/opencv-2.4.13/install1/include /usr/include/hdf5/serial #/home/dkoester/local/include/ #LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /home/vsharma/Codes/cuDNNv5/lib64 /home/vsharma/Codes/opencv-2.4.13/install1/lib /usr/lib/x86_64-linux-gnu/hdf5/serial #/home/dkoester/local/lib/ # WITH OPENCV3.2 INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include /home/vsharma/Codes/cuDNNv5/include /home/vsharma/temp/opencv_c3d/install/include /usr/include/hdf5/serial #/home/dkoester/local/include/ LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /home/vsharma/Codes/cuDNNv5/lib64 /home/vsharma/temp/opencv_c3d/install/lib /usr/lib/x86_64-linux-gnu/hdf5/serial #/home/dkoester/local/lib/ # INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include /users/visics/yhuang/code/cudnn/include /users/visics/yhuang/local/include /users/visics/yhuang/local/gcc-5.3.0/include/c++/5.3.0 # LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib64 /usr/lib64/atlas /users/visics/yhuang/code/cudnn/lib64 /users/visics/yhuang/local/lib64 /users/visics/yhuang/local/lib /users/visics/yhuang/local/gcc-5.3.0/lib64 # 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 ?= @