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gnu: Add python-faiss.
* gnu/packages/graph.scm (python-faiss): New variable.
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@ -22,6 +22,7 @@ (define-module (gnu packages graph)
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#:use-module (guix download)
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#:use-module (guix git-download)
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#:use-module (guix packages)
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#:use-module (guix utils)
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#:use-module (guix build-system cmake)
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#:use-module (guix build-system gnu)
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#:use-module (guix build-system python)
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@ -42,6 +43,7 @@ (define-module (gnu packages graph)
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#:use-module (gnu packages python-web)
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#:use-module (gnu packages python-xyz)
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#:use-module (gnu packages statistics)
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#:use-module (gnu packages swig)
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#:use-module (gnu packages time)
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#:use-module (gnu packages xml))
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@ -322,3 +324,51 @@ (define-public faiss
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vectors of any size, up to ones that possibly do not fit in RAM. It also
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contains supporting code for evaluation and parameter tuning.")
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(license license:bsd-3)))
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(define-public python-faiss
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(package (inherit faiss)
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(name "python-faiss")
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(build-system python-build-system)
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(arguments
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`(#:phases
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(modify-phases %standard-phases
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(add-after 'unpack 'chdir
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(lambda _ (chdir "python") #t))
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(add-after 'chdir 'build-swig
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(lambda* (#:key inputs #:allow-other-keys)
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(with-output-to-file "../makefile.inc"
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(lambda ()
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(let ((python-version ,(version-major+minor (package-version python))))
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(format #t "\
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PYTHONCFLAGS =-I~a/include/python~am/ -I~a/lib/python~a/site-packages/numpy/core/include
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LIBS = -lpython~am -lfaiss
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SHAREDFLAGS = -shared -fopenmp
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CXXFLAGS = -fpermissive -std=c++11 -fopenmp -fPIC
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CPUFLAGS = ~{~a ~}~%"
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(assoc-ref inputs "python*") python-version
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(assoc-ref inputs "python-numpy") python-version
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python-version
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(cons "-mpopcnt"
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(list ,@(let ((system (or (%current-target-system)
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(%current-system))))
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(cond
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((string-prefix? "x86_64" system)
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'("-mavx" "-msse2"))
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((string-prefix? "i686" system)
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'("-msse2"))
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(else
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'())))))))))
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(substitute* "Makefile"
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(("../libfaiss.a") ""))
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(invoke "make" "cpu"))))))
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(inputs
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`(("faiss" ,faiss)
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("openblas" ,openblas)
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("python*" ,python)
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("swig" ,swig)))
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(propagated-inputs
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`(("python-matplotlib" ,python-matplotlib)
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("python-numpy" ,python-numpy)))
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(description "Faiss is a library for efficient similarity search and
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clustering of dense vectors. This package provides Python bindings to the
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Faiss library.")))
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