caffe

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## Refer to http://caffe.berkeleyvision.org/installation.html
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# Contributions simplifying and improving our build system are welcome!
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# cuDNN acceleration switch (uncomment to build with cuDNN).
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# USE_CUDNN := 1
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# CPU-only switch (uncomment to build without GPU support).
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# CPU_ONLY := 1
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# uncomment to disable IO dependencies and corresponding data layers
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# USE_OPENCV := 0
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# USE_LEVELDB := 0
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# USE_LMDB := 0
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# This code is taken from https://github.com/sh1r0/caffe-android-lib
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# USE_HDF5 := 0
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# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
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#	You should not set this flag if you will be reading LMDBs with any
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#	possibility of simultaneous read and write
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# ALLOW_LMDB_NOLOCK := 1
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# Uncomment if you're using OpenCV 3
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# OPENCV_VERSION := 3
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# To customize your choice of compiler, uncomment and set the following.
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# N.B. the default for Linux is g++ and the default for OSX is clang++
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# CUSTOM_CXX := g++
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# CUDA directory contains bin/ and lib/ directories that we need.
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CUDA_DIR := /usr/local/cuda
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# On Ubuntu 14.04, if cuda tools are installed via
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# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
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# CUDA_DIR := /usr
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# CUDA architecture setting: going with all of them.
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# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
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# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
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# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
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CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
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		-gencode arch=compute_20,code=sm_21 \
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		-gencode arch=compute_30,code=sm_30 \
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		-gencode arch=compute_35,code=sm_35 \
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		-gencode arch=compute_50,code=sm_50 \
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		-gencode arch=compute_52,code=sm_52 \
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		-gencode arch=compute_60,code=sm_60 \
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		-gencode arch=compute_61,code=sm_61 \
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		-gencode arch=compute_61,code=compute_61
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# BLAS choice:
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# atlas for ATLAS (default)
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# mkl for MKL
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# open for OpenBlas
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BLAS := atlas
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# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
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# Leave commented to accept the defaults for your choice of BLAS
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# (which should work)!
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# BLAS_INCLUDE := /path/to/your/blas
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# BLAS_LIB := /path/to/your/blas
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# Homebrew puts openblas in a directory that is not on the standard search path
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# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
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# BLAS_LIB := $(shell brew --prefix openblas)/lib
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# This is required only if you will compile the matlab interface.
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# MATLAB directory should contain the mex binary in /bin.
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# MATLAB_DIR := /usr/local
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# MATLAB_DIR := /Applications/MATLAB_R2012b.app
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# NOTE: this is required only if you will compile the python interface.
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# We need to be able to find Python.h and numpy/arrayobject.h.
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PYTHON_INCLUDE := /usr/include/python2.7 \
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		/usr/lib/python2.7/dist-packages/numpy/core/include
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# Anaconda Python distribution is quite popular. Include path:
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# Verify anaconda location, sometimes it's in root.
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# ANACONDA_HOME := $(HOME)/anaconda
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# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
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		# $(ANACONDA_HOME)/include/python2.7 \
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		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
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# Uncomment to use Python 3 (default is Python 2)
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# PYTHON_LIBRARIES := boost_python3 python3.5m
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# PYTHON_INCLUDE := /usr/include/python3.5m \
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#                 /usr/lib/python3.5/dist-packages/numpy/core/include
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# We need to be able to find libpythonX.X.so or .dylib.
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PYTHON_LIB := /usr/lib
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# PYTHON_LIB := $(ANACONDA_HOME)/lib
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# Homebrew installs numpy in a non standard path (keg only)
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# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
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# PYTHON_LIB += $(shell brew --prefix numpy)/lib
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# Uncomment to support layers written in Python (will link against Python libs)
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# WITH_PYTHON_LAYER := 1
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# Whatever else you find you need goes here.
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INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
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LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
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# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
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# INCLUDE_DIRS += $(shell brew --prefix)/include
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# LIBRARY_DIRS += $(shell brew --prefix)/lib
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# NCCL acceleration switch (uncomment to build with NCCL)
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# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
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# USE_NCCL := 1
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# Uncomment to use `pkg-config` to specify OpenCV library paths.
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# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
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# USE_PKG_CONFIG := 1
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# N.B. both build and distribute dirs are cleared on `make clean`
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BUILD_DIR := build
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DISTRIBUTE_DIR := distribute
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# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
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# DEBUG := 1
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# The ID of the GPU that 'make runtest' will use to run unit tests.
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TEST_GPUID := 0
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# enable pretty build (comment to see full commands)
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Q ?= @
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