104 lines
3.1 KiB
Makefile
104 lines
3.1 KiB
Makefile
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# -*- makefile -*-
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# tested on Mac OS X 10.12.2 Sierra with additional software installed via macports
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# The system default clang does not support openmp
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# You can install an openmp compatible g++ with macports:
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# port install g++-mp-6
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CC=/opt/local/bin/g++-mp-6
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CFLAGS=-fPIC -m64 -Wall -g -O3 -msse4 -mpopcnt -fopenmp -Wno-sign-compare -std=c++11
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LDFLAGS=-g -fPIC -fopenmp
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# common linux flags
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SHAREDEXT=dylib
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SHAREDFLAGS=-Wl,-F. -bundle -undefined dynamic_lookup
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FAISSSHAREDFLAGS=-dynamiclib
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# wrapldflags=""
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# sharedext=dylib
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# sharedflags="-dynamiclib"
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# yaelsharedflags="$sharedflags -install_name $yaelprefix/yael/libyael.dylib"
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##########################################################################
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# Uncomment one of the 4 BLAS/Lapack implementation options
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# below. They are sorted # from fastest to slowest (in our
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# experiments).
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##########################################################################
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#
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# 1. Intel MKL
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#
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# This is the fastest BLAS implementation we tested. Unfortunately it
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# is not open-source and determining the correct linking flags is a
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# nightmare. See
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#
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# https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor
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#
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# for a start on setting the link flags. On version IntelComposerXE
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# 2015.0.090, the following flags work
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#
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# MKLROOT=$(HOME)/fbsource/fbcode/third-party2//IntelComposerXE/2015.0.090/gcc-4.8.1-glibc-2.17/c3f970a/mkl
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#
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# BLASLDFLAGS=-Wl,--no-as-needed -L$(MKLROOT)/lib/intel64 -lmkl_intel_ilp64 \
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# -lmkl_core -lmkl_gnu_thread -ldl -lpthread
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#
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# the ilp64 means that the integers are 64-bit.
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#
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# BLASLDFLAGS=-DFINTEGER=long
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#
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# you may have to set the LD_LIBRARY_PATH=$MKLROOT/lib/intel64 at runtime
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#
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#
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# 2. Openblas
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#
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# The library contains both BLAS and Lapack. Install with port install OpenBLAS
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#
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# BLASCFLAGS=-DFINTEGER=int
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# BLASLDFLAGS=/opt/local/lib/libopenblas.dylib
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#
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#
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# 3. Apple's framework accelerate
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#
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# This has the advantage that it does not require to install anything,
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# as it is provided by default on the mac. It is not very fast, though.
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#
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BLASCFLAGS=-DFINTEGER=int
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BLASLDFLAGS=-framework Accelerate
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##########################################################################
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# SWIG and Python flags
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##########################################################################
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# SWIG executable. This should be at least version 3.x
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# port install swig swig-python
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SWIGEXEC=/opt/local/bin/swig
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# The Python include directories for the current python executable can
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# typically be found with
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#
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# python -c "import distutils.sysconfig; print distutils.sysconfig.get_python_inc()"
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# python -c "import numpy ; print numpy.get_include()"
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#
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# the paths below are for the system python (not the macports one)
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PYTHONCFLAGS=-I/System/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7 \
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-I/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/include
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##########################################################################
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# Faiss GPU
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##########################################################################
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# As we don't have access to a Mac with nvidia GPUs installed, we
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# could not validate the GPU compile of Faiss.
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