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guix/gnu/packages/machine-learning.scm
Vinicius Monego 35afdc3b5c
gnu: xgboost: Update to 1.7.6. 
* gnu/packages/machine-learning.scm (xgboost, python-xgboost): Update to
1.7.6.
(python-xgboost)[arguments]: Remove #:test-flags and disable tests.
* gnu/packages/patches/xgboost-use-system-dmlc-core.patch: Update patch.

Change-Id: Ib0eb015f72150ef82ce386eda26749e25f816e95
2024-04-06 08:00:58 -03:00

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;;; GNU Guix --- Functional package management for GNU
;;; Copyright © 2015-2024 Ricardo Wurmus <rekado@elephly.net>
;;; Copyright © 2016, 2020-2023 Efraim Flashner <efraim@flashner.co.il>
;;; Copyright © 2016, 2017, 2020 Marius Bakke <mbakke@fastmail.com>
;;; Copyright © 2016 Hartmut Goebel <h.goebel@crazy-compilers.com>
;;; Copyright © 2018, 2019, 2020 Tobias Geerinckx-Rice <me@tobias.gr>
;;; Copyright © 2018 Kei Kebreau <kkebreau@posteo.net>
;;; Copyright © 2018 Mark Meyer <mark@ofosos.org>
;;; Copyright © 2018 Ben Woodcroft <donttrustben@gmail.com>
;;; Copyright © 2018 Fis Trivial <ybbs.daans@hotmail.com>
;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu>
;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de>
;;; Copyright © 2019 Nicolas Goaziou <mail@nicolasgoaziou.fr>
;;; Copyright © 2019, 2020 Guillaume Le Vaillant <glv@posteo.net>
;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net>
;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com>
;;; Copyright © 2020, 2021, 2022, 2023, 2024 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2020, 2021, 2022, 2023 Maxim Cournoyer <maxim.cournoyer@gmail.com>
;;; Copyright © 2022, 2023 Nicolas Graves <ngraves@ngraves.fr>
;;; Copyright © 2022 Kiran Shila <me@kiranshila.com>
;;; Copyright © 2023 zamfofex <zamfofex@twdb.moe>
;;; Copyright © 2023 Navid Afkhami <navid.afkhami@mdc-berlin.de>
;;; Copyright © 2023 Zheng Junjie <873216071@qq.com>
;;; Copyright © 2023 Troy Figiel <troy@troyfigiel.com>
;;; Copyright © 2024 Sharlatan Hellseher <sharlatanus@gmail.com>
;;; Copyright © 2024 David Pflug <david@pflug.io>
;;; Copyright © 2024 Timothee Mathieu <timothee.mathieu@inria.fr>
;;; Copyright © 2024 Spencer King <spencer.king@geneoscopy.com>
;;;
;;; This file is part of GNU Guix.
;;;
;;; GNU Guix is free software; you can redistribute it and/or modify it
;;; under the terms of the GNU General Public License as published by
;;; the Free Software Foundation; either version 3 of the License, or (at
;;; your option) any later version.
;;;
;;; GNU Guix is distributed in the hope that it will be useful, but
;;; WITHOUT ANY WARRANTY; without even the implied warranty of
;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
;;; GNU General Public License for more details.
;;;
;;; You should have received a copy of the GNU General Public License
;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
(define-module (gnu packages machine-learning)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (guix gexp)
#:use-module (guix packages)
#:use-module (guix utils)
#:use-module (guix download)
#:use-module (guix svn-download)
#:use-module (guix build-system cmake)
#:use-module (guix build-system gnu)
#:use-module (guix build-system ocaml)
#:use-module (guix build-system pyproject)
#:use-module (guix build-system python)
#:use-module (guix build-system r)
#:use-module (guix build-system trivial)
#:use-module (guix git-download)
#:use-module (gnu packages)
#:use-module (gnu packages adns)
#:use-module (gnu packages algebra)
#:use-module (gnu packages assembly)
#:use-module (gnu packages audio)
#:use-module (gnu packages autotools)
#:use-module (gnu packages base)
#:use-module (gnu packages bash)
#:use-module (gnu packages boost)
#:use-module (gnu packages bdw-gc)
#:use-module (gnu packages c)
#:use-module (gnu packages check)
#:use-module (gnu packages compression)
#:use-module (gnu packages cmake)
#:use-module (gnu packages cpp)
#:use-module (gnu packages cran)
#:use-module (gnu packages databases)
#:use-module (gnu packages dejagnu)
#:use-module (gnu packages documentation)
#:use-module (gnu packages freedesktop)
#:use-module (gnu packages gcc)
#:use-module (gnu packages gettext)
#:use-module (gnu packages gl)
#:use-module (gnu packages glib)
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages guile)
#:use-module (gnu packages haskell-xyz)
#:use-module (gnu packages image)
#:use-module (gnu packages image-processing)
#:use-module (gnu packages imagemagick)
#:use-module (gnu packages jupyter)
#:use-module (gnu packages libffi)
#:use-module (gnu packages linux)
#:use-module (gnu packages llvm)
#:use-module (gnu packages maths)
#:use-module (gnu packages mpi)
#:use-module (gnu packages ninja)
#:use-module (gnu packages ocaml)
#:use-module (gnu packages onc-rpc)
#:use-module (gnu packages opencl)
#:use-module (gnu packages parallel)
#:use-module (gnu packages perl)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages protobuf)
#:use-module (gnu packages pulseaudio)
#:use-module (gnu packages python)
#:use-module (gnu packages python-build)
#:use-module (gnu packages python-check)
#:use-module (gnu packages python-science)
#:use-module (gnu packages python-web)
#:use-module (gnu packages python-xyz)
#:use-module (gnu packages rdf)
#:use-module (gnu packages regex)
#:use-module (gnu packages rpc)
#:use-module (gnu packages serialization)
#:use-module (gnu packages sphinx)
#:use-module (gnu packages statistics)
#:use-module (gnu packages sqlite)
#:use-module (gnu packages swig)
#:use-module (gnu packages time)
#:use-module (gnu packages tls)
#:use-module (gnu packages vulkan)
#:use-module (gnu packages video)
#:use-module (gnu packages web)
#:use-module (gnu packages xml)
#:use-module (gnu packages xdisorg)
#:use-module (gnu packages xorg)
#:use-module (ice-9 match))
(define-public fasttext
(package
(name "fasttext")
(version "0.9.2")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/facebookresearch/fastText")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "07cz2ghfq6amcljaxpdr5chbd64ph513y8zqmibfx2xwfp74xkhn"))))
(build-system cmake-build-system)
;; Tests require downloading of test data.
(arguments (list #:tests? #false))
(home-page "https://github.com/facebookresearch/fastText")
(synopsis "Library for fast text representation and classification")
(description "fastText is a library for efficient learning of word
representations and sentence classification.")
(license license:expat)))
(define-public python-fasttext
(package
(inherit fasttext)
(name "python-fasttext")
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-scipy))
(inputs (list fasttext))
(native-inputs (list pybind11))))
(define-public python-funsor
(package
(name "python-funsor")
(version "0.4.5")
(source
(origin
(method url-fetch)
(uri (pypi-uri "funsor" version))
(sha256
(base32 "0cgysij0dix0fikyz2x4f8jvaskm5s5a04s07chzaz2dw1fpxdq8"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-makefun python-multipledispatch
python-numpy python-opt-einsum
python-typing-extensions))
(native-inputs (list python-black
python-flake8
python-isort
python-nbsphinx
python-pandas
python-pillow
python-pyro-api
python-pytest
python-pytest-xdist
python-requests
python-scipy
python-sphinx
python-sphinx-gallery
python-sphinx-rtd-theme
python-torchvision))
(home-page "https://github.com/pyro-ppl/funsor")
(synopsis "Tensor-like library for functions and distributions")
(description
"This package provides a tensor-like library for functions and
distributions.")
(license license:asl2.0)))
(define-public fann
;; The last release is >100 commits behind, so we package from git.
(let ((commit "d71d54788bee56ba4cf7522801270152da5209d7"))
(package
(name "fann")
(version (string-append "2.2.0-1." (string-take commit 8)))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/libfann/fann")
(commit commit)))
(file-name (string-append name "-" version "-checkout"))
(sha256
(base32
"0ibwpfrjs6q2lijs8slxjgzb2llcl6rk3v2ski4r6215g5jjhg3x"))))
(build-system cmake-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out")))
(with-directory-excursion (string-append (getcwd) "/tests")
(invoke "./fann_tests"))))))))
(home-page "http://leenissen.dk/fann/wp/")
(synopsis "Fast Artificial Neural Network")
(description
"FANN is a neural network library, which implements multilayer
artificial neural networks in C with support for both fully connected and
sparsely connected networks.")
(license license:lgpl2.1))))
(define-public libsvm
(package
(name "libsvm")
(version "3.23")
(source
(origin
(method url-fetch)
(uri (string-append "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
name "-" version ".tar.gz"))
(sha256
(base32 "0jpaq0rr92x38p4nk3gjan79ip67m6p80anb28z1d8601miysyi5"))))
(build-system gnu-build-system)
(arguments
`(#:tests? #f ; no "check" target
#:phases
(modify-phases %standard-phases
(delete 'configure)
(add-after 'build 'build-lib
(lambda _
(invoke "make" "lib")))
(replace 'install ; no ‘install’ target
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(bin (string-append out "/bin/"))
(lib (string-append out "/lib/"))
(inc (string-append out "/include/libsvm")))
(mkdir-p bin)
(for-each (lambda (file)
(copy-file file (string-append bin file)))
'("svm-train"
"svm-predict"
"svm-scale"))
(mkdir-p lib)
(install-file "libsvm.so.2" lib)
(mkdir-p inc)
(install-file "svm.h" inc)))))))
(home-page "https://www.csie.ntu.edu.tw/~cjlin/libsvm/")
(synopsis "Library for Support Vector Machines")
(description
"LIBSVM is a machine learning library for support vector
classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and
distribution estimation (one-class SVM). It supports multi-class
classification.")
(license license:bsd-3)))
(define-public python-libsvm
(package (inherit libsvm)
(name "python-libsvm")
(build-system gnu-build-system)
(arguments
`(#:tests? #f ; no "check" target
#:make-flags '("-C" "python")
#:phases
(modify-phases %standard-phases
(delete 'configure)
(replace
'install ; no ‘install’ target
(lambda* (#:key inputs outputs #:allow-other-keys)
(let ((site (string-append (assoc-ref outputs "out")
"/lib/python"
(string-take
(string-take-right
(assoc-ref inputs "python") 5) 3)
"/site-packages/")))
(substitute* "python/svm.py"
(("../libsvm.so.2") "libsvm.so.2"))
(mkdir-p site)
(for-each (lambda (file)
(copy-file file (string-append site (basename file))))
(find-files "python" "\\.py"))
(copy-file "libsvm.so.2"
(string-append site "libsvm.so.2")))
#t)))))
(inputs
(list python))
(synopsis "Python bindings of libSVM")))
(define-public python-ml-collections
(package
(name "python-ml-collections")
(version "0.1.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "ml_collections" version))
(sha256
(base32 "1k38psfzqsqnl99fl578bd07zdmvfkja61r3sgjs2fj3xircrvrz"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
;; TODO: we can't seem to run the config_flags tests, because
;; the installed Python files conflict with those from the
;; source directory, resulting in constants to be defined more
;; than once.
(invoke "pytest" "ml_collections/config_dict/tests"
;; This one fails because we're testing the __main__
;; class, not config_dict_test.
"-k" "not testJSONConversionBestEffort")))))))
(propagated-inputs
(list python-absl-py python-contextlib2 python-pyyaml python-six))
(native-inputs (list python-mock python-pytest))
(home-page "https://github.com/google/ml_collections")
(synopsis "Python collections designed for Machine Learning usecases")
(description
"ML Collections is a library of Python collections designed for Machine
Learning usecases.")
(license license:asl2.0)))
(define-public ghmm
;; The latest release candidate is several years and a couple of fixes have
;; been published since. This is why we download the sources from the SVN
;; repository.
(let ((svn-revision 2341))
(package
(name "ghmm")
(version (string-append "0.9-rc3-0." (number->string svn-revision)))
(source (origin
(method svn-fetch)
(uri (svn-reference
(url "http://svn.code.sf.net/p/ghmm/code/trunk")
(revision svn-revision)))
(file-name (string-append name "-" version "-checkout"))
(sha256
(base32
"07kdsngvr4n1qxpqzv1nlay7g41d6jzjppa8vzmrg220s8ing87z"))))
(build-system gnu-build-system)
(arguments
`(#:imported-modules (,@%gnu-build-system-modules
(guix build python-build-system))
#:modules ((guix build python-build-system)
,@%gnu-build-system-modules)
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'enter-dir
(lambda _ (chdir "ghmm")))
(add-after 'enter-dir 'fix-runpath
(lambda* (#:key outputs #:allow-other-keys)
(substitute* "ghmmwrapper/setup.py"
(("^(.*)extra_compile_args = \\[" line indent)
(string-append indent
"extra_link_args = [\"-Wl,-rpath="
(assoc-ref outputs "out") "/lib\"],\n"
line
"\"-Wl,-rpath="
(assoc-ref outputs "out")
"/lib\", ")))))
(add-after 'enter-dir 'disable-broken-tests
(lambda _
(substitute* "tests/Makefile.am"
;; GHMM_SILENT_TESTS is assumed to be a command.
(("TESTS_ENVIRONMENT.*") "")
;; Do not build broken tests.
(("chmm .*") "")
(("read_fa .*") "")
(("mcmc .*") "")
(("label_higher_order_test.*$")
"label_higher_order_test\n"))
;; These Python unittests are broken as there is no gato.
;; See https://sourceforge.net/p/ghmm/support-requests/3/
(substitute* "ghmmwrapper/ghmmunittests.py"
(("^(.*)def (testNewXML|testMultipleTransitionClasses|testNewXML)"
line indent)
(string-append indent
"@unittest.skip(\"Disabled by Guix\")\n"
line))))))))
(inputs
`(("python" ,python-2) ; only Python 2 is supported
("libxml2" ,libxml2)))
(native-inputs
(list pkg-config
dejagnu
swig
autoconf
automake
libtool))
(home-page "http://ghmm.org")
(synopsis "Hidden Markov Model library")
(description
"The General Hidden Markov Model library (GHMM) is a C library with
additional Python bindings implementing a wide range of types of @dfn{Hidden
Markov Models} (HMM) and algorithms: discrete, continuous emissions, basic
training, HMM clustering, HMM mixtures.")
(license license:lgpl2.0+))))
(define-public guile-aiscm
(package
(name "guile-aiscm")
(version "0.25.2")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/wedesoft/aiscm")
(commit "v0.25.2")))
(file-name (git-file-name name version))
(sha256
(base32
"1sagpxwrqxkn5b9zqzd07c9r7swmw45q672pa8fy6s71iw6a0x77"))))
(build-system gnu-build-system)
(arguments
(list
#:make-flags
#~(list (string-append "GUILE_CACHE=" #$output "/lib/guile/3.0/site-ccache")
(string-append "GUILE_EXT=" #$output "/lib/guile/3.0/extensions")
(string-append "GUILE_SITE=" #$output "/share/guile/site/3.0"))
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'build-reproducibly
(lambda _
(substitute* "doc/Makefile.am"
(("\\$\\(DATE\\)") "1970-01-01"))))
(add-after 'unpack 'find-clearsilver
(lambda* (#:key inputs #:allow-other-keys)
(substitute* "configure.ac"
(("/usr/local/include/ClearSilver")
(string-append (assoc-ref inputs "clearsilver")
"/include/ClearSilver")))
(substitute* "aiscm/Makefile.am"
(("-lneo_utl" m)
(string-append m " -lstreamhtmlparser")))
(setenv "C_INCLUDE_PATH"
(string-append (assoc-ref inputs "clearsilver")
"/include/ClearSilver:"
(or (getenv "C_INCLUDE_PATH") "")))))
(add-after 'unpack 'use-llvm-config
(lambda _
(substitute* "m4/ax_llvmc.m4"
(("llvm-config-11") "llvm-config")
;; For some reason this library is not on the link list.
(("(LLVM_LIBS=\"\\$\\(\\$ac_llvm_config_path --libs \\$1\\))\"" _ m)
(string-append m " -lLLVMMCJIT\"")))
;; Because of this message:
;; symbol lookup error: ./.libs/libguile-aiscm-core.so: undefined symbol: LLVMInitializeX86TargetInfo
;; This probably needs to differ when building on architectures
;; other than x86_64.
(substitute* "aiscm/Makefile.am"
(("LLVM_LIBS\\)") "LLVM_LIBS) \
-lLLVMX86AsmParser -lLLVMX86CodeGen -lLLVMX86Desc -lLLVMX86Info"))))
;; This test fails because our version of tensorflow is too old
;; to provide tf-string-length.
(add-after 'unpack 'disable-broken-test
(lambda _
(substitute* "tests/test_tensorflow.scm"
(("\\(test-eqv \"determine string length" m)
(string-append "#;" m)))))
;; Use Clang instead of GCC.
(add-before 'configure 'prepare-build-environment
(lambda _
(setenv "AR" "llvm-ar")
(setenv "NM" "llvm-nm")
(setenv "CC" "clang")
(setenv "CXX" "clang++"))))))
(inputs
(list clearsilver
ffmpeg-4
freeglut
guile-3.0
imagemagick
libgc
libjpeg-turbo
libomp
libxi
libxmu
libxpm
libxt
libxv
mesa
mjpegtools
pandoc
pulseaudio
tensorflow))
(native-inputs
(list clang-13
llvm-13
pkg-config
protobuf-c-for-aiscm
autoconf
automake
gettext-minimal
libtool
which))
(home-page "https://wedesoft.github.io/aiscm/")
(synopsis "Guile extension for numerical arrays and tensors")
(description "AIscm is a Guile extension for numerical arrays and tensors.
Performance is achieved by using the LLVM JIT compiler.")
(license license:gpl3+)))
(define-public guile-aiscm-next
(deprecated-package "guile-aiscm-next" guile-aiscm))
(define-public llama-cpp
(let ((commit "03bf161eb6dea6400ee49c6dc6b69bdcfa9fd3fc")
(revision "1"))
(package
(name "llama-cpp")
(version (git-version "0.0.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/ggerganov/llama.cpp")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "1ag1jash84hasz10h0piw72a8ginm8kzvhihbzzljz96gq2kjm88"))))
(build-system cmake-build-system)
(arguments
(list
#:configure-flags #~'("-DLLAMA_BLAS=ON"
"-DLLAMA_BLAS_VENDOR=OpenBLAS"
"-DLLAMA_NATIVE=OFF" ;no '-march=native'
"-DLLAMA_FMA=OFF" ;and no '-mfma', etc.
"-DLLAMA_AVX2=OFF"
"-DLLAMA_AVX512=OFF"
"-DLLAMA_AVX512_VBMI=OFF"
"-DLLAMA_AVX512_VNNI=OFF")
#:modules '((ice-9 textual-ports)
(guix build utils)
((guix build python-build-system) #:prefix python:)
(guix build cmake-build-system))
#:imported-modules `(,@%cmake-build-system-modules
(guix build python-build-system))
#:phases
#~(modify-phases %standard-phases
(add-before 'install 'install-python-scripts
(lambda _
(let ((bin (string-append #$output "/bin/")))
(define (make-script script)
(let ((suffix (if (string-suffix? ".py" script) "" ".py")))
(call-with-input-file
(string-append "../source/" script suffix)
(lambda (input)
(call-with-output-file (string-append bin script)
(lambda (output)
(format output "#!~a/bin/python3\n~a"
#$(this-package-input "python")
(get-string-all input))))))
(chmod (string-append bin script) #o555)))
(mkdir-p bin)
(make-script "convert-hf-to-gguf")
(make-script "convert-llama-ggml-to-gguf")
(make-script "convert-lora-to-ggml")
(make-script "convert-persimmon-to-gguf")
(make-script "convert"))))
(add-after 'install-python-scripts 'wrap-python-scripts
(assoc-ref python:%standard-phases 'wrap))
(replace 'install
(lambda _
(copy-file "bin/main" (string-append #$output "/bin/llama")))))))
(inputs (list python))
(native-inputs (list pkg-config))
(propagated-inputs
(list python-numpy python-pytorch python-sentencepiece openblas))
(properties '((tunable? . #true))) ;use AVX512, FMA, etc. when available
(home-page "https://github.com/ggerganov/llama.cpp")
(synopsis "Port of Facebook's LLaMA model in C/C++")
(description "This package provides a port to Facebook's LLaMA collection
of foundation language models. It requires models parameters to be downloaded
independently to be able to run a LLaMA model.")
(license license:expat))))
(define-public mcl
(package
(name "mcl")
(version "14.137")
(source (origin
(method url-fetch)
(uri (string-append
"http://micans.org/mcl/src/mcl-"
(string-replace-substring version "." "-")
".tar.gz"))
(sha256
(base32
"15xlax3z31lsn62vlg94hkm75nm40q4679amnfg13jm8m2bnhy5m"))))
(build-system gnu-build-system)
(arguments
`(#:configure-flags (list "--enable-blast"
"CFLAGS=-fcommon")))
(inputs
(list perl))
(home-page "https://micans.org/mcl/")
(synopsis "Clustering algorithm for graphs")
(description
"The MCL algorithm is short for the @dfn{Markov Cluster Algorithm}, a
fast and scalable unsupervised cluster algorithm for graphs (also known as
networks) based on simulation of (stochastic) flow in graphs.")
;; In the LICENCE file and web page it says "The software is licensed
;; under the GNU General Public License, version 3.", but in several of
;; the source code files it suggests GPL3 or later.
;; http://listserver.ebi.ac.uk/pipermail/mcl-users/2016/000376.html
(license license:gpl3)))
(define-public ocaml-mcl
(package
(name "ocaml-mcl")
(version "12-068oasis4")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/fhcrc/mcl")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"0009dc3h2jp3qg5val452wngpqnbfyhbcxylghq0mrjqxx0jdq5p"))))
(build-system ocaml-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(add-before 'configure 'patch-paths
(lambda _
(substitute* "setup.ml"
(("LDFLAGS=-fPIC")
(string-append "LDFLAGS=-fPIC\"; \"SHELL=" (which "sh")))
(("-std=c89") "-std=gnu99 -fcommon")
;; This is a mutable string, which is no longer supported. Use
;; a byte buffer instead.
(("String.make \\(String.length s\\)")
"Bytes.make (String.length s)")
;; These two belong together.
(("OASISString.replace_chars")
"Bytes.to_string (OASISString.replace_chars")
((" s;")
" s);"))
(substitute* "myocamlbuild.ml"
(("std=c89") "std=gnu99 -fcommon"))
;; Since we build with a more recent OCaml, we have to use C99 or
;; later. This causes problems with the old C code.
(substitute* "src/impala/matrix.c"
(("restrict") "restrict_"))
#t)))))
(native-inputs
(list ocamlbuild))
(home-page "https://github.com/fhcrc/mcl")
(synopsis "OCaml wrappers around MCL")
(description
"This package provides OCaml bindings for the MCL graph clustering
algorithm.")
(license license:gpl3)))
(define-public openmm
(package
(name "openmm")
(version "8.1.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/openmm/openmm")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"064vv6zaci30pj38z5lwfqscxssm67jqxkz30hcya9vm4ng831d5"))))
(build-system cmake-build-system)
(arguments
(list
#:configure-flags
'(list "-DOPENMM_BUILD_SHARED_LIB=TRUE"
"-DOPENMM_BUILD_C_AND_FORTRAN_WRAPPERS=TRUE"
"-DOPENMM_BUILD_PYTHON_WRAPPERS=TRUE"
"-DOPENMM_BUILD_CUDA_LIB=FALSE")
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'patch-python-build-system
(lambda _
(substitute* "wrappers/python/CMakeLists.txt"
(("install --root=\\\\\\$ENV\\{DESTDIR\\}/")
(string-append "install --prefix=" #$output
" --root=/ --single-version-externally-managed")))))
(add-after 'install 'install-python
(lambda _
(invoke "make" "PythonInstall"))))))
(inputs
(list python-wrapper))
(propagated-inputs
(list python-numpy))
(native-inputs
(list doxygen gfortran opencl-headers python-cython swig))
(home-page "https://github.com/openmm/openmm/")
(synopsis "Toolkit for molecular simulation")
(description
"OpenMM is a toolkit for molecular simulation. It can be used either as
a stand-alone application for running simulations, or as a library you call
from your own code.")
;; See https://github.com/openmm/openmm/issues/4278#issuecomment-1772982471
(license license:expat)))
(define-public randomjungle
(package
(name "randomjungle")
(version "2.1.0")
(source
(origin
(method url-fetch)
(uri (string-append
"https://www.imbs.uni-luebeck.de/fileadmin/files/Software"
"/randomjungle/randomjungle-" version ".tar_.gz"))
(file-name (string-append name "-" version ".tar.gz"))
(patches (search-patches "randomjungle-disable-static-build.patch"))
(sha256
(base32
"12c8rf30cla71swx2mf4ww9mfd8jbdw5lnxd7dxhyw1ygrvg6y4w"))))
(build-system gnu-build-system)
(arguments
`(#:configure-flags
(list "--disable-static"
(string-append "--with-boost="
(assoc-ref %build-inputs "boost")))
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'fix-compatibility-errors
(lambda _
(substitute* "src/library/IAM2WayImportance.h"
(("= std::make_pair.*")
"= std::minmax(varID1, varID2);"))
(substitute* "src/library/DataFrame.h"
(("isFirst\\?.*")
"if (isFirst) { isFirst = false; } else { os << par.delimiter; }\n"))))
(add-before 'configure 'set-CXXFLAGS
(lambda _ (setenv "CXXFLAGS" "-fpermissive "))))))
(inputs
(list boost gsl libxml2 zlib))
(native-inputs
(list gfortran-7 (list gfortran-7 "lib")))
;; Non-portable assembly instructions are used so building fails on
;; platforms other than x86_64 or i686.
(supported-systems '("x86_64-linux" "i686-linux"))
(home-page "https://www.imbs.uni-luebeck.de/forschung/software/details.html#c224")
(synopsis "Implementation of the Random Forests machine learning method")
(description
"Random Jungle is an implementation of Random Forests. It is supposed to
analyse high dimensional data. In genetics, it can be used for analysing big
Genome Wide Association (GWA) data. Random Forests is a powerful machine
learning method. Most interesting features are variable selection, missing
value imputation, classifier creation, generalization error estimation and
sample proximities between pairs of cases.")
(license license:gpl3+)))
(define-public r-rcppml/devel
(let ((commit "e685b3bd7909d3ae74c98f85f81bc0bb679bce23")
(revision "1"))
(package
(name "r-rcppml-devel")
(version (git-version "0.5.6" revision commit))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/zdebruine/RcppML")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"18ykh9s9h3x79az7qm3pg48iqm0nmkh2wkppc9wx0lq7kjfqm67a"))))
(properties `((upstream-name . "RcppML")))
(build-system r-build-system)
(propagated-inputs (list r-matrix r-rcpp))
(native-inputs (list r-knitr))
(home-page "https://github.com/zdebruine/RcppML")
(synopsis "Rcpp machine learning Library")
(description
"This package provides fast machine learning algorithms including
matrix factorization and divisive clustering for large sparse and dense
matrices.")
(license license:gpl3+))))
(define-public openfst
(package
(name "openfst")
(version "1.8.2")
(source (origin
(method url-fetch)
(uri (string-append "http://www.openfst.org/twiki/pub/FST/"
"FstDownload/openfst-" version ".tar.gz"))
(sha256
(base32
"0hlbdmjjf1jgsvi3d2hwni5lz3l9a5bzj6ijpbawa8a7cbrpp66y"))))
(build-system gnu-build-system)
(arguments '(#:configure-flags '("--enable-ngram-fsts")))
(home-page "https://www.openfst.org")
(synopsis "Library for weighted finite-state transducers")
(description "OpenFst is a library for constructing, combining,
optimizing, and searching weighted finite-state transducers (FSTs).")
(license license:asl2.0)))
;; This is a temporary addition to bypass upstream issues with the kaldi
;; package.
(define-public openfst-1.7.3
(package (inherit openfst)
(version "1.7.3")
(source (origin
(method url-fetch)
(uri (string-append "http://www.openfst.org/twiki/pub/FST/"
"FstDownload/openfst-" version ".tar.gz"))
(sha256
(base32
"038a60w7y8qnbxmcrsim9rafz9mihsny8xv50jpzlr7rl166pp5q"))))
(arguments '(#:configure-flags '("--enable-ngram-fsts" "CXXFLAGS=-std=c++14")
#:make-flags '("CXXFLAGS=-std=c++14")))))
(define openfst-for-vosk
(package
(inherit openfst)
(version "1.8.0")
(source
(origin
(method url-fetch)
(uri (string-append "http://www.openfst.org/twiki/pub/FST/"
"FstDownload/openfst-" version ".tar.gz"))
(sha256
(base32 "0h2lfhhihg63b804hrcljnkggijbjmp84i5g8q735wb09y9z2c4p"))))
(arguments
'(#:configure-flags
'("--enable-shared" "--enable-far" "--enable-ngram-fsts"
"--enable-lookahead-fsts" "--with-pic" "--disable-bin")))))
(define-public sentencepiece
(package
(name "sentencepiece")
(version "0.1.97")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/google/sentencepiece")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1kzfkp2pk0vabyw3wmkh16h11chzq63mzc20ddhsag5fp6s91ajg"))))
(build-system cmake-build-system)
(arguments (list #:tests? #f)) ;no tests
(native-inputs (list gperftools))
(home-page "https://github.com/google/sentencepiece")
(synopsis "Unsupervised tokenizer for Neural Network-based text generation")
(description
"SentencePiece is an unsupervised text tokenizer and detokenizer mainly
for Neural Network-based text generation systems where the vocabulary size is
predetermined prior to the neural model training. SentencePiece implements
subword units---e.g., byte-pair-encoding (BPE) and unigram language
model---with the extension of direct training from raw sentences.
SentencePiece allows us to make a purely end-to-end system that does not
depend on language-specific pre- or post-processing.")
(license license:asl2.0)))
(define-public python-hopcroftkarp
;; This commit fixes a broken import, but has not been released to PyPI.
(let ((commit "2846e1dd3265d95d2bddb0cf4190b830cbb4efe6")
(revision "1"))
(package
(name "python-hopcroftkarp")
(version (git-version "1.2.5" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/sofiatolaosebikan/hopcroftkarp")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "018ilrp41fcclmb5lsml3aijwbmhbq3m7wy65hr1fryj0avic8fr"))))
(build-system pyproject-build-system)
(home-page "https://github.com/sofiatolaosebikan/hopcroftkarp")
(synopsis "Implementation of the Hopcroft-Karp algorithm")
(description
"This package implements the Hopcroft-Karp algorithm, producing a maximum
cardinality matching from a bipartite graph.")
(license license:gpl3))))
(define-public python-persim
(package
(name "python-persim")
(version "0.3.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "persim" version))
(sha256
(base32 "0q8wfakx8q4h3ryvw8cba0v6z7xn9139qkrzs3mi1ggyzacnx9d7"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-deprecated
python-hopcroftkarp
python-joblib
python-matplotlib
python-numpy
python-scikit-learn
python-scipy))
(native-inputs (list python-pytest python-pytest-cov))
(home-page "https://persim.scikit-tda.org")
(synopsis "Tools for analyzing persistence diagrams in Python")
(description
"This package includes a variety of tools used to analyze persistence diagrams.
It currently houses implementations of
@itemize
@item Persistence images
@item Persistence landscapes
@item Bottleneck distance
@item Modified Gromov–Hausdorff distance
@item Sliced Wasserstein kernel
@item Heat kernel
@item Diagram plotting
@end itemize
")
(license license:expat))) ; MIT License
(define-public python-ripser
(package
(name "python-ripser")
(version "0.6.4")
(source
(origin
(method url-fetch)
(uri (pypi-uri "ripser" version))
(sha256
(base32 "1575nwsn6b29z7w1mjk23ri83bxq2b4ld979hpgm174642a3x6vs"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-persim python-scikit-learn
python-scipy))
(native-inputs (list python-cython python-pytest))
(home-page "https://ripser.scikit-tda.org")
(synopsis "Persistent homology library for Python")
(description
"This package implements a variety of persistent homology algorithms. It
provides an interface for
@itemize
@item computing persistence cohomology of sparse and dense data sets
@item visualizing persistence diagrams
@item computing lowerstar filtrations on images
@item computing representative cochains
@end itemize
")
(license license:expat))) ; MIT License
(define-public python-sacrebleu
(package
(name "python-sacrebleu")
(version "2.3.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/mjpost/sacrebleu")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"1al4qf9wsq5l453qqb6clims62ns0s07wb9rfbf4hbpr1f2iv7zv"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; These all need internet access.
'(list "-k" "not test_api_get_source \
and not test_api_get_reference \
and not test_maybe_download \
and not test_process_to_text \
and not test_get_files_and_fieldnames \
and not test_source_and_references \
and not test_wmt22_references")
#:phases
'(modify-phases %standard-phases
;; Needed for tests.
(add-before 'check 'set-HOME
(lambda _ (setenv "HOME" "/tmp"))))))
(propagated-inputs (list python-colorama
python-lxml
python-numpy
python-portalocker
python-regex
python-tabulate))
(native-inputs (list python-pytest))
(home-page "https://github.com/mjpost/sacrebleu")
(synopsis
"Compute shareable, comparable, and reproducible BLEU, chrF, and TER scores")
(description
"This is a package for hassle-free computation of shareable, comparable,
and reproducible BLEU, chrF, and TER scores for natural language processing.")
(license license:asl2.0)))
(define-public python-sentencepiece
(package
(name "python-sentencepiece")
(version "0.1.97")
(source
(origin
(method url-fetch)
(uri (pypi-uri "sentencepiece" version))
(sha256
(base32 "0v0z9ryl66432zajp099bcbnwkkldzlpjvgnjv9bq2vi19g300f9"))))
(build-system python-build-system)
(native-inputs (list pkg-config))
(propagated-inputs (list sentencepiece))
(home-page "https://github.com/google/sentencepiece")
(synopsis "SentencePiece python wrapper")
(description "This package provides a Python wrapper for the SentencePiece
unsupervised text tokenizer.")
(license license:asl2.0)))
(define-public python-spacy-legacy
(package
(name "python-spacy-legacy")
(version "3.0.12")
(source (origin
(method url-fetch)
(uri (pypi-uri "spacy-legacy" version))
(sha256
(base32
"0x57aw1qgjrzgapsv1cwymqlck2anqm1bisvryhpq7bfkc66wzdk"))))
(build-system pyproject-build-system)
;; This package depends on spacy, which depends on this package.
(arguments (list #:tests? #false))
(native-inputs (list python-pytest))
(home-page "https://spacy.io")
(synopsis "Legacy registered functions for spaCy backwards compatibility")
(description
"This package contains legacy registered functions for spaCy backwards
compatibility.")
(license license:expat)))
(define-public python-spacy-loggers
(package
(name "python-spacy-loggers")
(version "1.0.4")
(source (origin
(method url-fetch)
(uri (pypi-uri "spacy-loggers" version))
(sha256
(base32
"0a5zjfxd0mci7pwda24ihg55whalpmjby4bvpgar2013f6zq7yg6"))))
(build-system pyproject-build-system)
;; This package depends on spacy, which depends on this package.
(arguments (list #:tests? #false))
(native-inputs (list python-pytest))
(home-page "https://github.com/explosion/spacy-loggers")
(synopsis "Logging utilities for SpaCy")
(description "This package provides logging utilities for the SpaCy
natural language processing framework.")
(license license:expat)))
(define-public python-spacy
(package
(name "python-spacy")
(version "3.5.3")
(source (origin
(method url-fetch)
(uri (pypi-uri "spacy" version))
(sha256
(base32
"13141hc966d8nxbnlwj01vhndgq0rq4nmii3qkb3hrap45kiv5rm"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-k"
(string-append
;; We don't do that around here.
"not test_download_compatibility"
;; This needs to download a model.
" and not test_validate_compatibility_table"
;; This tries to run the application with typer, which fails
;; with an unspecified error, possibly because the build
;; container doesn't have /bin/sh.
" and not test_project_assets"))
#:phases
'(modify-phases %standard-phases
(add-after 'build 'build-ext
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"
"-j" (number->string (parallel-job-count))))))))
(propagated-inputs (list python-catalogue
python-cymem
python-jinja2
python-langcodes
python-murmurhash
python-numpy
python-packaging
python-pathy
python-preshed
python-pydantic
python-requests
python-setuptools
python-smart-open
python-spacy-legacy
python-spacy-loggers
python-srsly
python-thinc
python-tqdm
python-typer
python-typing-extensions
python-wasabi))
(native-inputs
(list python-cython python-pytest python-mock))
(home-page "https://spacy.io")
(synopsis "Natural Language Processing (NLP) in Python")
(description
"SpaCy is a library for advanced Natural Language Processing in Python
and Cython. It comes with pretrained pipelines and currently supports
tokenization and training for 70+ languages. It features state-of-the-art
speed and neural network models for tagging, parsing, named entity
recognition, text classification and more, multi-task learning with pretrained
transformers like BERT, as well as a production-ready training system and easy
model packaging, deployment and workflow management.")
(license license:expat)))
(define-public shogun
(package
(name "shogun")
(version "6.1.3")
(source
(origin
(method url-fetch)
(uri (string-append
"ftp://shogun-toolbox.org/shogun/releases/"
(version-major+minor version)
"/sources/shogun-" version ".tar.bz2"))
(sha256
(base32
"1rn9skm3nw6hr7mr3lgp2gfqhi7ii0lyxck7qmqnf8avq349s5jp"))
(modules '((guix build utils)
(ice-9 rdelim)))
(snippet
'(begin
;; Remove non-free sources and files referencing them
(for-each delete-file
(find-files "src/shogun/classifier/svm/"
"SVMLight\\.(cpp|h)"))
(for-each delete-file
(find-files "examples/undocumented/libshogun/"
(string-append
"(classifier_.*svmlight.*|"
"evaluation_cross_validation_locked_comparison).cpp")))
;; Remove non-free functions.
(define (delete-ifdefs file)
(with-atomic-file-replacement file
(lambda (in out)
(let loop ((line (read-line in 'concat))
(skipping? #f))
(if (eof-object? line)
#t
(let ((skip-next?
(or (and skipping?
(not (string-prefix?
"#endif //USE_SVMLIGHT" line)))
(string-prefix?
"#ifdef USE_SVMLIGHT" line))))
(when (or (not skipping?)
(and skipping? (not skip-next?)))
(display line out))
(loop (read-line in 'concat) skip-next?)))))))
(for-each delete-ifdefs
(append
(find-files "src/shogun/classifier/mkl"
"^MKLClassification\\.cpp")
(find-files "src/shogun/classifier/svm"
"^SVMLightOneClass\\.(cpp|h)")
(find-files "src/shogun/multiclass"
"^ScatterSVM\\.(cpp|h)")
(find-files "src/shogun/kernel/"
"^(Kernel|CombinedKernel|ProductKernel)\\.(cpp|h)")
(find-files "src/shogun/regression/svr"
"^(MKLRegression|SVRLight)\\.(cpp|h)")
(find-files "src/shogun/transfer/domain_adaptation"
"^DomainAdaptationSVM\\.(cpp|h)")))
#t))))
(build-system cmake-build-system)
(arguments
'(#:tests? #f ;no check target
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'delete-broken-symlinks
(lambda _
(for-each delete-file '("applications/arts/data"
"applications/asp/data"
"applications/easysvm/data"
"applications/msplicer/data"
"applications/ocr/data"
"examples/meta/data"
"examples/undocumented/data"))
#t))
(add-after 'unpack 'change-R-target-path
(lambda* (#:key outputs #:allow-other-keys)
(substitute* '("src/interfaces/r/CMakeLists.txt"
"examples/meta/r/CMakeLists.txt")
(("\\$\\{R_COMPONENT_LIB_PATH\\}")
(string-append (assoc-ref outputs "out")
"/lib/R/library/")))
#t))
(add-after 'unpack 'fix-octave-modules
(lambda* (#:key outputs #:allow-other-keys)
(substitute* "src/interfaces/octave/CMakeLists.txt"
(("^include_directories\\(\\$\\{OCTAVE_INCLUDE_DIRS\\}")
"include_directories(${OCTAVE_INCLUDE_DIRS} ${OCTAVE_INCLUDE_DIRS}/octave")
;; change target directory
(("\\$\\{OCTAVE_OCT_LOCAL_API_FILE_DIR\\}")
(string-append (assoc-ref outputs "out")
"/share/octave/packages")))
(substitute* '("src/interfaces/octave/swig_typemaps.i"
"src/interfaces/octave/sg_print_functions.cpp")
;; "octave/config.h" and "octave/oct-obj.h" deprecated in Octave.
(("octave/config\\.h") "octave/octave-config.h")
(("octave/oct-obj.h") "octave/ovl.h"))
#t))
(add-after 'unpack 'move-rxcpp
(lambda* (#:key inputs #:allow-other-keys)
(let ((rxcpp-dir "shogun/third-party/rxcpp"))
(mkdir-p rxcpp-dir)
(install-file (assoc-ref inputs "rxcpp") rxcpp-dir)
#t)))
(add-before 'build 'set-HOME
;; $HOME needs to be set at some point during the build phase
(lambda _ (setenv "HOME" "/tmp") #t)))
#:configure-flags
(list "-DCMAKE_BUILD_WITH_INSTALL_RPATH=TRUE"
"-DUSE_SVMLIGHT=OFF" ;disable proprietary SVMLIGHT
"-DBUILD_META_EXAMPLES=OFF" ;requires unpackaged ctags
;;"-DINTERFACE_JAVA=ON" ;requires unpackaged jblas
;;"-DINTERFACE_RUBY=ON" ;requires unpackaged ruby-narray
;;"-DINTERFACE_PERL=ON" ;"FindPerlLibs" does not exist
;;"-DINTERFACE_LUA=ON" ;fails because lua doesn't build pkgconfig file
"-DINTERFACE_OCTAVE=ON"
"-DINTERFACE_PYTHON=ON"
"-DINTERFACE_R=ON")))
(inputs
`(("python" ,python)
("numpy" ,python-numpy)
("r-minimal" ,r-minimal)
("octave" ,octave-cli)
("swig" ,swig)
("eigen" ,eigen)
("hdf5" ,hdf5)
("atlas" ,atlas)
("arpack" ,arpack-ng)
("openblas" ,openblas)
("glpk" ,glpk)
("libxml2" ,libxml2)
("lzo" ,lzo)
("zlib" ,zlib)))
(native-inputs
(list pkg-config rxcpp))
;; Non-portable SSE instructions are used so building fails on platforms
;; other than x86_64.
(supported-systems '("x86_64-linux"))
(home-page "https://shogun-toolbox.org/")
(synopsis "Machine learning toolbox")
(description
"The Shogun Machine learning toolbox provides a wide range of unified and
efficient Machine Learning (ML) methods. The toolbox seamlessly
combines multiple data representations, algorithm classes, and general purpose
tools. This enables both rapid prototyping of data pipelines and extensibility
in terms of new algorithms.")
(license license:gpl3+)))
(define-public onnx
(package
(name "onnx")
(version "1.12.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/onnx/onnx")
(commit (string-append "v" version))))
(sha256
(base32
"1g9f1hviksbn7gi6fnd0dsm7nf0w3yia0mjj33d9mggklrl0db6x"))
(file-name (git-file-name name version))
(patches (search-patches "onnx-use-system-googletest.patch"
"onnx-shared-libraries.patch"
"onnx-skip-model-downloads.patch"))
(modules '((guix build utils)))
(snippet '(delete-file-recursively "third_party"))))
(build-system python-build-system)
(arguments
'(#:phases (modify-phases %standard-phases
(add-after 'unpack 'relax-requirements
(lambda _
;; Does this difference really matter?
(substitute* "requirements.txt"
(("3.20.1") "3.20.2"))))
(add-before 'build 'pass-cmake-arguments
(lambda* (#:key outputs #:allow-other-keys)
;; Pass options to the CMake-based build process.
(define out
(assoc-ref outputs "out"))
(define args
;; Copy arguments from 'cmake-build-system', plus ask
;; for shared libraries.
(list "-DCMAKE_BUILD_TYPE=RelWithDebInfo"
(string-append "-DCMAKE_INSTALL_PREFIX=" out)
"-DCMAKE_INSTALL_LIBDIR=lib"
"-DCMAKE_INSTALL_RPATH_USE_LINK_PATH=TRUE"
(string-append "-DCMAKE_INSTALL_RPATH=" out
"/lib")
"-DCMAKE_VERBOSE_MAKEFILE=ON"
"-DBUILD_SHARED_LIBS=ON"))
;; This environment variable is honored by 'setup.py',
;; which passes it down to 'cmake'.
(setenv "CMAKE_ARGS" (string-join args))
;; This one is honored by 'setup.py' and passed to 'make
;; -j'.
(setenv "MAX_JOBS"
(number->string (parallel-job-count)))))
(add-before 'check 'make-test-directory-writable
(lambda _
;; Make things writable for tests.
(setenv "HOME" (getcwd))
(for-each make-file-writable
(find-files "onnx/examples" "."
#:directories? #t))))
(add-after 'install 'install-from-cmake
(lambda _
;; Run "make install" in the build tree 'setup.py'
;; created for CMake so that libonnx.so,
;; libonnx_proto.so, etc. are installed.
(invoke "make" "install"
"-C" ".setuptools-cmake-build"))))))
(native-inputs
(list cmake
googletest
pybind11
python-coverage
python-nbval
python-pytest
python-pytest-runner))
(inputs
(list protobuf))
(propagated-inputs
(list python-numpy python-protobuf python-six python-tabulate
python-typing-extensions))
(home-page "https://onnx.ai/")
(synopsis "Open Neural Network Exchange")
(description
"@acronym{ONNX, Open Neural Network Exchange} is a format for AI models,
both deep learning and traditional @acronym{ML, machine learning}. It defines
an extensible computation graph model, as well as definitions of built-in
operators and standard data types.")
(license license:expat)))
(define-public onnx-for-torch2
(package
(inherit onnx)
(name "onnx")
(version "1.13.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/onnx/onnx")
(commit (string-append "v" version))))
(sha256
(base32
"16967dbq2j40diqd0s37r19llsab8q8vbxkg1ppgy0p9fpdhfhyp"))
(file-name (git-file-name name version))
(patches (search-patches "onnx-1.13.1-use-system-googletest.patch"
"onnx-shared-libraries.patch"))
(modules '((guix build utils)))
(snippet
'(begin
(delete-file-recursively "third_party")
(substitute* "onnx/backend/test/runner/__init__.py"
(("urlretrieve\\(.*") "raise unittest.SkipTest('Skipping download')\n"))))))
(arguments
;; reuse build system tweaks
(substitute-keyword-arguments (package-arguments onnx)
((#:phases phases)
#~(modify-phases #$phases
(delete 'relax-requirements)))))))
(define-public python-onnx
;; This used to be called "python-onnx" because it provided nothing but
;; Python bindings. The package now provides shared libraries and C++
;; headers, hence the name change.
(deprecated-package "python-onnx" onnx))
(define-public onnx-optimizer
(package
(name "onnx-optimizer")
;; Note: 0.2.x is *more* recent than 1.5.0.
(version "0.2.6")
(home-page "https://github.com/onnx/optimizer")
(source (origin
(method git-fetch)
(uri (git-reference
(url home-page)
(commit (string-append "v" version))))
(sha256
(base32
"1wkqqdxcxpfbf8zpbdfdd3zz5jkw775g31gyykj11z4y6pp659l6"))
(file-name (git-file-name name version))
(patches (search-patches "onnx-optimizer-system-library.patch"))
(modules '((guix build utils)))
(snippet '(delete-file-recursively "third_party"))))
(build-system python-build-system)
(arguments
;; reuse build system tweaks
(substitute-keyword-arguments (package-arguments onnx)
((#:phases phases)
#~(modify-phases #$phases
(delete 'relax-requirements)))))
(native-inputs
(list cmake python-pytest python-pytest-runner python-nbval
python-coverage))
(inputs
(list onnx protobuf pybind11))
(propagated-inputs
(list python-numpy))
(synopsis "Library to optimize ONNX models")
(description
"This package provides a C++ and Python library for performing arbitrary
optimizations on ONNX models, as well as a growing list of prepackaged
optimization passes.
Not all possible optimizations can be directly implemented on ONNX graphs---
some will need additional backend-specific information---but many can, and the
aim is to provide all such passes along with ONNX so that they can be re-used
with a single function call.")
(license license:expat)))
(define-public onnx-optimizer-for-torch2
(package
(inherit onnx-optimizer)
(inputs
(modify-inputs (package-inputs onnx-optimizer)
(replace "onnx" onnx-for-torch2)))))
(define-public rxcpp
(package
(name "rxcpp")
(version "4.1.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/ReactiveX/RxCpp")
(commit (string-append "v" version))))
(sha256
(base32 "1blyjjw6szd74pckdc15ham9i48xf0vwwz5nhl9vyjfq8z7w3piy"))
(file-name (git-file-name name version))))
(build-system cmake-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(add-after 'unpack 'remove-werror
(lambda _
(substitute* (find-files ".")
(("-Werror") ""))
#t))
(replace 'check
(lambda _
(invoke "ctest"))))))
(native-inputs
(list catch-framework))
(home-page "https://reactivex.io/")
(synopsis "Reactive Extensions for C++")
(description
"The Reactive Extensions for C++ (RxCpp) is a library of algorithms for
values-distributed-in-time. ReactiveX is a library for composing asynchronous
and event-based programs by using observable sequences.
It extends the observer pattern to support sequences of data and/or events and
adds operators that allow you to compose sequences together declaratively while
abstracting away concerns about things like low-level threading,
synchronization, thread-safety, concurrent data structures, and non-blocking
I/O.")
(license license:asl2.0)))
(define-public gemmlowp
(let ((commit "08e4bb339e34017a0835269d4a37c4ea04d15a69")
(version "0.1")
(revision "1"))
(package
(name "gemmlowp")
(version (git-version version revision commit))
(home-page "https://github.com/google/gemmlowp")
(source (origin
(method git-fetch)
(uri (git-reference (url home-page) (commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"1q8f3w5slxd8fbn31hpm00y6wyp7gm71rzr27cmcff4b3px4ca6k"))))
(arguments
`(#:configure-flags
(list ,@(match (%current-system)
((or "x86_64-linux" "i686-linux")
'("-DCMAKE_CXX_FLAGS=-msse2"))
(_ '()))
"-DBUILD_SHARED_LIBS=ON")
#:phases
(modify-phases %standard-phases
;; This directory contains the CMakeLists.txt.
(add-after 'unpack 'chdir
(lambda _ (chdir "contrib") #t))
;; There is no install target
(replace 'install
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(lib (string-append out "/lib/"))
(inc (string-append out "/include/")))
(install-file "../build/libeight_bit_int_gemm.so" lib)
(for-each (lambda (dir)
(let ((target
(string-append inc "/gemmlowp/" dir)))
(for-each (lambda (h)
(install-file h target))
(find-files (string-append "../" dir)
"\\.h$"))))
'("meta" "profiling" "public" "fixedpoint"
"eight_bit_int_gemm" "internal"))))))))
(build-system cmake-build-system)
(synopsis "Small self-contained low-precision GEMM library")
(description
"This is a small self-contained low-precision @dfn{general matrix
multiplication} (GEMM) library. It is not a full linear algebra library.
Low-precision means that the input and output matrix entries are integers on
at most 8 bits. To avoid overflow, results are internally accumulated on more
than 8 bits, and at the end only some significant 8 bits are kept.")
(license license:asl2.0))))
(define-public gemmlowp-for-tensorflow
;; The commit hash is taken from "tensorflow/workspace.bzl".
(let ((commit "38ebac7b059e84692f53e5938f97a9943c120d98")
(revision "2"))
(package
(inherit gemmlowp)
(version (git-version "0" revision commit))
(source (origin
(method url-fetch)
(uri (string-append "https://mirror.bazel.build/"
"github.com/google/gemmlowp/archive/"
commit ".zip"))
(file-name (string-append "gemmlowp-" version ".zip"))
(sha256
(base32
"0n56s2g8hrssm4w8qj1v58gfm56a04n9v992ixkmvk6zjiralzxq"))))
(arguments
(substitute-keyword-arguments (package-arguments gemmlowp)
((#:phases phases)
`(modify-phases ,phases
(replace 'install
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(lib (string-append out "/lib/"))
(inc (string-append out "/include/")))
(install-file "../build/libeight_bit_int_gemm.so" lib)
(for-each (lambda (dir)
;; Note: Install headers straight into
;; $includedir instead of $includedir/gemmlowp.
(let ((target (string-append inc "/" dir)))
(for-each (lambda (h)
(install-file h target))
(find-files (string-append "../" dir)
"\\.h$"))))
'("meta" "profiling" "public" "fixedpoint"
"eight_bit_int_gemm" "internal")))))))))
(native-inputs
(list unzip))
(properties '((hidden? . #t))))))
(define-public dlib
(package
(name "dlib")
(version "19.20")
(source (origin
(method url-fetch)
(uri (string-append
"http://dlib.net/files/dlib-" version ".tar.bz2"))
(sha256
(base32
"139jyi19qz37wwmmy48gil9d1kkh2r3w3bwdzabha6ayxmba96nz"))
(modules '((guix build utils)))
(snippet
'(begin
;; Delete ~13MB of bundled dependencies.
(delete-file-recursively "dlib/external")
(delete-file-recursively "docs/dlib/external")
#t))))
(build-system cmake-build-system)
(arguments
`(#:configure-flags '("-DBUILD_SHARED_LIBS=ON")
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'disable-asserts
(lambda _
;; config.h recommends explicitly enabling or disabling asserts
;; when building as a shared library. By default neither is set.
(substitute* "dlib/config.h"
(("^//#define DLIB_DISABLE_ASSERTS") "#define DLIB_DISABLE_ASSERTS"))
#t))
(add-after 'disable-asserts 'disable-failing-tests
(lambda _
;; One test times out on MIPS, so we need to disable it.
;; Others are flaky on some platforms.
(let* ((system ,(or (%current-target-system)
(%current-system)))
(disabled-tests (cond
((string-prefix? "mips64" system)
'("object_detector" ; timeout
"data_io"))
((string-prefix? "armhf" system)
'("learning_to_track"))
((string-prefix? "i686" system)
'("optimization"))
(else '()))))
(for-each
(lambda (test)
(substitute* "dlib/test/makefile"
(((string-append "SRC \\+= " test "\\.cpp")) "")))
disabled-tests)
#t)))
(replace 'check
(lambda _
;; No test target, so we build and run the unit tests here.
(let ((test-dir (string-append "../dlib-" ,version "/dlib/test")))
(with-directory-excursion test-dir
(invoke "make" "-j" (number->string (parallel-job-count)))
(invoke "./dtest" "--runall"))
#t))))))
(native-inputs
(list pkg-config
;; For tests.
libnsl))
(inputs
`(("giflib" ,giflib)
("libjpeg" ,libjpeg-turbo)
("libpng" ,libpng)
("libx11" ,libx11)
("openblas" ,openblas)
("zlib" ,zlib)))
(synopsis
"Toolkit for making machine learning and data analysis applications in C++")
(description
"Dlib is a modern C++ toolkit containing machine learning algorithms and
tools. It is used in both industry and academia in a wide range of domains
including robotics, embedded devices, mobile phones, and large high performance
computing environments.")
(home-page "http://dlib.net")
(license license:boost1.0)))
(define-public python-scikit-learn
(package
(name "python-scikit-learn")
(version "1.3.2")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/scikit-learn/scikit-learn")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"1hr024vcilbjwlwn32ppadri0ypnzjmkfxhkkw8gih0qjvcvjbs7"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-m" "not network"
"-k" (string-append
;; This test tries to access the internet.
"not test_load_boston_alternative"
;; DID NOT RAISE <class 'ValueError'>
" and not test_singular_matrix"))
#:phases
'(modify-phases %standard-phases
(add-before 'build 'configure
(lambda _
(setenv "SKLEARN_BUILD_PARALLEL"
(number->string (parallel-job-count)))))
(add-after 'build 'build-ext
(lambda _ (invoke "python" "setup.py" "build_ext" "--inplace"
"-j" (number->string (parallel-job-count)))))
(replace 'check
(lambda* (#:key tests? test-flags #:allow-other-keys)
(when tests?
;; Restrict OpenBLAS threads to prevent segfaults while testing!
(setenv "OPENBLAS_NUM_THREADS" "1")
;; Some tests require write access to $HOME.
(setenv "HOME" "/tmp")
;; Step out of the source directory to avoid interference;
;; we want to run the installed code with extensions etc.
(with-directory-excursion "/tmp"
(apply invoke "pytest" "--pyargs" "sklearn"
test-flags))))))))
(inputs (list openblas))
(native-inputs
(list python-cython-0.29.35
python-pandas
python-pytest
python-pytest-xdist))
(propagated-inputs
(list python-numpy python-threadpoolctl python-scipy python-joblib))
(home-page "https://scikit-learn.org/")
(synopsis "Machine Learning in Python")
(description
"Scikit-learn provides simple and efficient tools for data mining and
data analysis.")
(license license:bsd-3)))
(define-public python-scikit-learn-extra
;; This commit fixes an incompatibility with newer versions of scikit-learn
(let ((commit "0f95d8dda4c69f9de4fb002366041adcb1302f3b")
(revision "1"))
(package
(name "python-scikit-learn-extra")
(version (git-version "0.3.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/scikit-learn-contrib/scikit-learn-extra")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "0a248sff1psfwzmngj465gzyisq20d83nzpwpq2cspxhih51m6j9"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; ignore tests that require network
'(list "--pyargs" "sklearn_extra"
"-k" "not test_build")
#:phases
#~(modify-phases %standard-phases
(add-after 'build 'build-ext
(lambda _
(invoke "python" "setup.py" "build_ext"
"--inplace")))
(replace 'check
(lambda* (#:key tests? test-flags #:allow-other-keys)
(when tests?
;; Restrict OpenBLAS threads to prevent segfaults while testing!
(setenv "OPENBLAS_NUM_THREADS" "1")
;; Some tests require write access to $HOME.
(setenv "HOME" "/tmp")
;; Step out of the source directory to avoid interference;
;; we want to run the installed code with extensions etc.
(with-directory-excursion "/tmp"
(apply invoke "pytest" "-vv" test-flags))))))))
(propagated-inputs
(list python-numpy
python-scikit-learn
python-scipy
python-packaging))
(native-inputs (list python-pytest python-pytest-cov python-cython))
(home-page "https://github.com/scikit-learn-contrib/scikit-learn-extra")
(synopsis "Set of tools for scikit-learn")
(description
"This package provides a Python module for machine learning that extends
scikit-learn. It includes algorithms that are useful but do not satisfy the
scikit-learn inclusion criteria, for instance due to their novelty or lower
citation number.")
(license license:bsd-3))))
(define-public python-mord
(package
(name "python-mord")
(version "0.7")
(source
(origin
(method url-fetch)
(uri (pypi-uri "mord" version))
(sha256
(base32 "1cvv9b9w69v0inq0zgcw0vmkiq3zn9q9r6clkynpzjik9rrh405n"))))
(build-system pyproject-build-system)
;; v0.7 does not provide any test cases
;; v0.6 relies on deprecated scikit-learn functionality
(arguments `(#:tests? #f))
(inputs (list python-numpy python-scipy python-scikit-learn))
(home-page "https://pypi.org/project/mord/")
(synopsis "Ordinal regression models for scikit-learn")
(description
"This package provides a collection of ordinal regression models for
machine learning in Python. They are intended to be used with scikit-learn
and are compatible with its API.")
(license license:bsd-3)))
(define-public python-thinc
(package
(name "python-thinc")
(version "8.1.10")
(source (origin
(method url-fetch)
(uri (pypi-uri "thinc" version))
(sha256
(base32
"14drmwa2sh8fqszv1fm2jl4lky1j5yrbkjv89bl49q07vbblhjkc"))))
(build-system pyproject-build-system)
(arguments
'(#:phases
(modify-phases %standard-phases
(add-after 'build 'build-ext
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"
"-j" (number->string (parallel-job-count))))))))
(propagated-inputs (list python-blis-for-thinc
python-catalogue
python-confection
python-contextvars
python-cymem
python-dataclasses
python-murmurhash
python-numpy
python-packaging
python-preshed
python-pydantic
python-srsly
python-typing-extensions
python-wasabi))
(native-inputs (list python-cython python-mock python-pytest))
(home-page "https://github.com/explosion/thinc")
(synopsis "Functional take on deep learning")
(description
"This package provides a functional take on deep learning, compatible
with your favorite libraries.")
(license license:expat)))
(define-public python-threadpoolctl
(package
(name "python-threadpoolctl")
(version "3.1.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "threadpoolctl" version))
(sha256
(base32
"100k76nmajf408lbn5ipis1gilklcs6sbqyqy3hhlh54zanbldd3"))))
(build-system pyproject-build-system)
(native-inputs
(list python-flit-core python-pytest))
(home-page "https://github.com/joblib/threadpoolctl")
(synopsis "Python helpers for common threading libraries")
(description "Thread-pool Controls provides Python helpers to limit the
number of threads used in the threadpool-backed of common native libraries used
for scientific computing and data science (e.g. BLAS and OpenMP).")
(license license:bsd-3)))
(define-public python-imbalanced-learn
(package
(name "python-imbalanced-learn")
(version "0.11.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "imbalanced-learn" version))
(sha256
(base32 "1p4gdgc8nsq0vjmw4y4d2bp9g0m1c23d0zgrzs90pnz6b24ax0km"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags '(list "-k"
;; Although we cannot satify the Tensorflow and Keras requirements
;; (python-keras >= 2.4.3 and tensorflow >= 2.4.3), all tests
;; besides these pass.
"not balanced_batch_generator and not BalancedBatchGenerator")
#:phases '(modify-phases %standard-phases
(add-after 'unpack 'unbreak-tests
(lambda _
;; Some tests require a home directory
(setenv "HOME"
(getcwd)))))))
(propagated-inputs (list python-joblib python-numpy python-scikit-learn
python-scipy python-threadpoolctl))
(native-inputs (list python-black
python-flake8
python-keras
python-mypy
python-numpydoc
python-pandas
python-pytest
python-pytest-cov
tensorflow))
(home-page "https://github.com/scikit-learn-contrib/imbalanced-learn")
(synopsis "Toolbox for imbalanced dataset in machine learning")
(description
"This is a Python package offering a number of re-sampling
techniques commonly used in datasets showing strong between-class imbalance.
It is compatible with @code{scikit-learn}.")
(license license:expat)))
(define-public python-hdbscan
(package
(name "python-hdbscan")
(version "0.8.33")
(source
(origin
(method url-fetch)
(uri (pypi-uri "hdbscan" version))
(sha256
(base32 "03gr70ys1zrnp15pxzhichvrdj5bj88p6p5k0wj8vx251rgvryjp"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-before 'check 'build-extensions
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"))))))
(propagated-inputs (list python-joblib
python-numpy
python-scikit-learn
python-scipy))
(native-inputs (list python-cython
python-nose
python-pytest
python-pandas
python-networkx))
(home-page "https://github.com/scikit-learn-contrib/hdbscan")
(synopsis "High performance implementation of HDBSCAN clustering")
(description "HDBSCAN - Hierarchical Density-Based Spatial Clustering of
Applications with Noise. Performs DBSCAN over varying epsilon values and
integrates the result to find a clustering that gives the best stability over
epsilon. This allows HDBSCAN to find clusters of varying densities (unlike
DBSCAN), and be more robust to parameter selection. HDBSCAN is ideal for
exploratory data analysis; it's a fast and robust algorithm that you can trust
to return meaningful clusters (if there are any).")
(license license:bsd-3)))
(define-public python-pynndescent
(package
(name "python-pynndescent")
(version "0.5.11")
(source
(origin
(method url-fetch)
(uri (pypi-uri "pynndescent" version))
(sha256
(base32 "0l5dpdsk5vg7rpay81bncp04119hnl5z7zxjv63jrnm9spcwwi3g"))))
(build-system pyproject-build-system)
(native-inputs (list python-pytest))
(propagated-inputs
(list python-importlib-metadata
python-joblib
python-llvmlite
python-numba
python-scikit-learn
python-scipy))
(home-page "https://github.com/lmcinnes/pynndescent")
(synopsis "Nearest neighbor descent for approximate nearest neighbors")
(description
"PyNNDescent provides a Python implementation of Nearest Neighbor Descent
for k-neighbor-graph construction and approximate nearest neighbor search.")
(license license:bsd-2)))
(define-public python-opentsne
(package
(name "python-opentsne")
(version "1.0.1")
(source
(origin
(method git-fetch) ; no tests in PyPI release
(uri (git-reference
(url "https://github.com/pavlin-policar/openTSNE")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0xjp0l4rxk1s685skbx50m3m9hwlj78w74qwgswnkmkk6f7c8dsi"))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
;; Benchmarks require the 'macosko2015' data files.
(add-after 'unpack 'delete-benchmark
(lambda _ (delete-file-recursively "benchmarks")))
(add-after 'unpack 'skip-test
(lambda _ ;; TODO: figure out why this test fails.
(substitute* "tests/test_correctness.py"
(("def test_iris\\(self\\)") "def _test_iris(self)"))))
;; Numba needs a writable dir to cache functions.
(add-before 'check 'set-numba-cache-dir
(lambda _ (setenv "NUMBA_CACHE_DIR" "/tmp"))))))
(native-inputs (list python-cython))
(inputs (list fftw))
(propagated-inputs
(list python-numpy python-pynndescent python-scikit-learn
python-scipy))
(home-page "https://github.com/pavlin-policar/openTSNE")
(synopsis "Extensible, parallel implementations of t-SNE")
(description
"This is a modular Python implementation of t-Distributed Stochastic
Neighbor Embedding (t-SNE), a popular dimensionality-reduction algorithm for
visualizing high-dimensional data sets.")
(license license:bsd-3)))
(define-public python-scikit-rebate
(package
(name "python-scikit-rebate")
(version "0.62")
(source (origin
(method url-fetch)
(uri (pypi-uri "skrebate" version))
(sha256
(base32
"0n55ghvnv7rxqa5agq6a4892ad0ghha165b0g4ghwr9gqm6ss3dj"))))
(build-system python-build-system)
(arguments '(#:tests? #f)) ;no tests on PyPI and no tags in repo
(propagated-inputs
(list python-numpy python-scipy python-scikit-learn python-joblib))
(home-page "https://epistasislab.github.io/scikit-rebate/")
(synopsis "Relief-based feature selection algorithms for Python")
(description "Scikit-rebate is a scikit-learn-compatible Python
implementation of ReBATE, a suite of Relief-based feature selection algorithms
for Machine Learning. These algorithms excel at identifying features that are
predictive of the outcome in supervised learning problems, and are especially
good at identifying feature interactions that are normally overlooked by
standard feature selection algorithms.")
(license license:expat)))
(define-public python-cleanlab
(package
(name "python-cleanlab")
(version "2.2.0")
;; The version on pypi does not come with tests.
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/cleanlab/cleanlab")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"00dqhxpwg781skknw943ynll2s44g4j125dx8aapk1d5d71sbzqy"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; This test fails because the newer version of scikit learn returns one
;; more classification result than expected. This should be harmless.
'(list "-k" "not test_aux_inputs"
;; Requires Tensorflow
"--ignore=tests/test_frameworks.py"
;; Tries to download datasets from the internet at runtime.
"--ignore=tests/test_dataset.py")))
(propagated-inputs
(list python-numpy
python-pandas
python-scikit-learn
python-termcolor
python-tqdm))
(native-inputs
(list python-pytest
python-pytest-lazy-fixture
python-pytorch
python-torchvision))
(home-page "https://cleanlab.ai")
(synopsis "Automatically find and fix dataset issues")
(description
"cleanlab automatically finds and fixes errors in any ML dataset. This
data-centric AI package facilitates machine learning with messy, real-world
data by providing clean labels during training.")
(license license:agpl3+)))
(define-public python-cleanlab-1
(package
(inherit python-cleanlab)
(name "python-cleanlab")
(version "1.0.1")
;; The version on pypi does not come with tests.
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/cleanlab/cleanlab")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"03kw2agnhadmrq9zvrlvvlc2c37dpflga5nhmsaag8scw223gqyp"))))
(build-system pyproject-build-system)
(arguments (list))
(propagated-inputs
(list python-numpy
python-scikit-learn
python-scipy
python-tqdm))
(native-inputs
(list python-pytest))))
(define-public python-cma
(package
(name "python-cma")
(version "3.3.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "cma" version))
(sha256
(base32
"1v31b2vnnr4v6ack7zfmw7zb47vbzjr9nyvx2lbfhyjf7zhbhj5p"))))
(build-system python-build-system)
(arguments
(list #:phases #~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "python" "-m" "cma.test")))))))
(propagated-inputs (list python-numpy))
(home-page "https://github.com/CMA-ES/pycma")
(synopsis "Python implementation of CMA-ES")
(description "This package provides a Python implementation of the
@acronym{CMA-ES, Covariance Matrix Adaptation Evolution Strategy} algorithm
and a few related numerical optimization tools.")
(license license:bsd-3)))
(define-public python-cmaes
(package
(name "python-cmaes")
(version "0.10.0")
(source
(origin
(method git-fetch) ;no tests in PyPI
(uri (git-reference
(url "https://github.com/CyberAgentAILab/cmaes")
(commit (string-append "v" version))))
(sha256
(base32 "17bk60mhkglz6s7wz6xcyhw1h4mvghc1iid0805dra7jdyafwrfn"))
(file-name (git-file-name name version))))
(build-system pyproject-build-system)
(native-inputs (list python-hypothesis))
(propagated-inputs (list python-numpy))
(home-page "https://github.com/CyberAgentAILab/cmaes")
(synopsis "CMA-ES implementation for Python")
(description "This package provides provides an implementation of the
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for Python.")
(license license:expat)))
(define-public python-autograd
(let* ((commit "c6d81ce7eede6db801d4e9a92b27ec5d409d0eab")
(revision "0")
(version (git-version "1.5" revision commit)))
(package
(name "python-autograd")
(home-page "https://github.com/HIPS/autograd")
(source (origin
(method git-fetch)
(uri (git-reference
(url home-page)
(commit commit)))
(sha256
(base32
"04kljgydng42xlg044h6nbzxpban1ivd6jzb8ydkngfq88ppipfk"))
(file-name (git-file-name name version))))
(version version)
(build-system pyproject-build-system)
(native-inputs
(list python-nose python-pytest))
(propagated-inputs
(list python-future python-numpy))
(synopsis "Efficiently computes derivatives of NumPy code")
(description "Autograd can automatically differentiate native Python and
NumPy code. It can handle a large subset of Python's features, including loops,
ifs, recursion and closures, and it can even take derivatives of derivatives
of derivatives. It supports reverse-mode differentiation
(a.k.a. backpropagation), which means it can efficiently take gradients of
scalar-valued functions with respect to array-valued arguments, as well as
forward-mode differentiation, and the two can be composed arbitrarily. The
main intended application of Autograd is gradient-based optimization.")
(license license:expat))))
(define-public lightgbm
(package
(name "lightgbm")
(version "2.0.12")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/Microsoft/LightGBM")
(commit (string-append "v" version))))
(sha256
(base32
"0jlvyn7k81dzrh9ij3zw576wbgiwmmr26rzpdxjn1dbpc3njpvzi"))
(file-name (git-file-name name version))))
(native-inputs
(list python-pytest python-nose))
(inputs
(list openmpi))
(propagated-inputs
(list python-numpy python-scipy))
(arguments
`(#:configure-flags
'("-DUSE_MPI=ON")
#:phases
(modify-phases %standard-phases
(replace 'check
(lambda _
(with-directory-excursion "../source"
(invoke "pytest" "tests/c_api_test/test_.py")))))))
(build-system cmake-build-system)
(home-page "https://github.com/Microsoft/LightGBM")
(synopsis "Gradient boosting framework based on decision tree algorithms")
(description "LightGBM is a gradient boosting framework that uses tree
based learning algorithms. It is designed to be distributed and efficient with
the following advantages:
@itemize
@item Faster training speed and higher efficiency
@item Lower memory usage
@item Better accuracy
@item Parallel and GPU learning supported (not enabled in this package)
@item Capable of handling large-scale data
@end itemize\n")
(license license:expat)))
(define-public vowpal-wabbit
;; Language bindings not included.
(package
(name "vowpal-wabbit")
(version "8.5.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/JohnLangford/vowpal_wabbit")
(commit version)))
(sha256
(base32
"04bwzk6ifgnz3fmzid8b7avxf9n5pnx9xcjm61nkjng1vv0bpj8x"))
(file-name (git-file-name name version))))
(inputs
(list boost zlib))
(arguments
`(#:configure-flags
(list (string-append "--with-boost="
(assoc-ref %build-inputs "boost")))
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'make-files-writable
(lambda _
(for-each make-file-writable (find-files "." ".*")) #t))
(add-after 'install 'install-more-headers
(lambda* (#:key outputs #:allow-other-keys)
(for-each
(lambda (file)
(install-file file (string-append
(assoc-ref outputs "out")
"/include/vowpalwabbit")))
(find-files "vowpalwabbit" "\\.h$"))
#t)))))
(build-system gnu-build-system)
(home-page "https://github.com/JohnLangford/vowpal_wabbit")
(synopsis "Fast machine learning library for online learning")
(description "Vowpal Wabbit is a machine learning system with techniques
such as online, hashing, allreduce, reductions, learning2search, active, and
interactive learning.")
(license license:bsd-3)))
(define-public python-hyperopt
(package
(name "python-hyperopt")
(version "0.2.7")
(source
(origin
(method url-fetch)
(uri (pypi-uri "hyperopt" version))
(sha256
(base32 "0jd1ghmm423kbhjvd6pxq92y5vkz25390687fcnd7fshh3jrmy0v"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
'(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "python" "-m" "pytest"
;; Needs python-pyspark.
"--ignore" "hyperopt/tests/integration/test_spark.py"
;; Needs both python-scikit-learn and python-lightgbm.
"--ignore" "hyperopt/tests/unit/test_atpe_basic.py"
;; The tests below need python-lightgbm.
"-k"
(string-append "not test_branin"
" and not test_distractor"
" and not test_q1lognormal"
" and not test_quadratic1"
" and not test_twoarms"
;; XXX Type error with this version of scipy
" and not test_distribution_rvs"))))))))
(propagated-inputs
(list python-cloudpickle
python-future
python-py4j
python-networkx
python-numpy
python-scipy
python-six
python-tqdm))
(native-inputs
(list python-black
python-nose
python-pymongo
python-pytest))
(home-page "https://hyperopt.github.io/hyperopt/")
(synopsis "Library for hyperparameter optimization")
(description "Hyperopt is a Python library for serial and parallel
optimization over awkward search spaces, which may include real-valued,
discrete, and conditional dimensions.")
(license license:bsd-3)))
(define-public python-deepxde
(package
(name "python-deepxde")
(version "1.11.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "DeepXDE" version))
(sha256
(base32
"0qx6iq8n2j8ab80bs2n85v8g6xi2bnq83vfiaj7a4nsmf62rhkzg"))))
(build-system pyproject-build-system)
(arguments
(list #:tests? #f ; there are no tests
#:phases #~(modify-phases %standard-phases
(add-before 'sanity-check 'writable-home
;; sanity-check writes ~/.deepxde/config.json to set
;; the default backend.
(lambda _
(setenv "HOME" "/tmp"))))))
;; DeepXDE supported backends are TensorFlow (v1 and v2), PyTorch, JAX and
;; PaddlePaddle. We test with PyTorch because we have it up to date.
(native-inputs (list python-pytorch python-setuptools-scm))
(propagated-inputs (list python-matplotlib python-numpy
python-scikit-learn python-scikit-optimize
python-scipy))
(home-page "https://deepxde.readthedocs.io/en/latest/")
(synopsis "Library for scientific machine learning")
(description "DeepXDE is a library for scientific machine learning and
physics-informed learning. It includes implementations for the PINN
(physics-informed neural networks), DeepONet (deep operator network) and
MFNN (multifidelity neural network) algorithms.")
(license license:lgpl2.1+)))
(define-public python-jaxtyping
(package
(name "python-jaxtyping")
(version "0.2.21")
(source (origin
(method url-fetch)
(uri (pypi-uri "jaxtyping" version))
(sha256
(base32
"19qmsnbn4wv2jl99lpn622qs49mrfxmx8s9pr5y8izzgdjq1fvii"))))
(build-system pyproject-build-system)
;; Tests require JAX, but JAX can't be packaged because it uses the Bazel
;; build system.
(arguments (list #:tests? #f))
(native-inputs (list python-hatchling))
(propagated-inputs (list python-numpy python-typeguard
python-typing-extensions))
(home-page "https://github.com/google/jaxtyping")
(synopsis
"Type annotations and runtime checking for JAX arrays and others")
(description "@code{jaxtyping} provides type annotations and runtime
checking for shape and dtype of JAX arrays, PyTorch, NumPy, TensorFlow, and
PyTrees.")
(license license:expat)))
;; There have been no proper releases yet.
(define-public kaldi
(let ((commit "be22248e3a166d9ec52c78dac945f471e7c3a8aa")
(revision "1")
(openfst openfst-1.7.3)) ;; Temporary bypass for upstream issues
(package
(name "kaldi")
(version (git-version "0" revision commit))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/kaldi-asr/kaldi")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"1wkxz3p0h68mxbg41i1wygir2r4rraxbb4672xkkvvs85r6c8r8i"))))
(build-system gnu-build-system)
(arguments
`(#:test-target "test"
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "src")))
(replace 'configure
(lambda* (#:key build system inputs outputs #:allow-other-keys)
(when (not (or (string-prefix? "x86_64" system)
(string-prefix? "i686" system)))
(substitute* "makefiles/linux_openblas.mk"
(("-msse -msse2") "")))
(substitute* "makefiles/default_rules.mk"
(("/bin/bash") (which "bash")))
(substitute* "Makefile"
(("ext_depend: check_portaudio")
"ext_depend:"))
(substitute* '("online/Makefile"
"onlinebin/Makefile"
"gst-plugin/Makefile")
(("../../tools/portaudio/install")
(assoc-ref inputs "portaudio")))
(substitute* "matrix/Makefile" ;temporary test bypass
(("matrix-lib-test sparse-matrix-test") ""))
;; This `configure' script doesn't support variables passed as
;; arguments, nor does it support "prefix".
(let ((out (assoc-ref outputs "out"))
(openblas (assoc-ref inputs "openblas"))
(openfst (assoc-ref inputs "openfst")))
(substitute* "configure"
(("check_for_slow_expf;") "")
;; This affects the RPATH and also serves as the installation
;; directory.
(("KALDILIBDIR=`pwd`/lib")
(string-append "KALDILIBDIR=" out "/lib")))
(mkdir-p out) ; must exist
(setenv "CONFIG_SHELL" (which "bash"))
(setenv "OPENFST_VER" ,(package-version openfst))
(invoke "./configure"
"--use-cuda=no"
"--shared"
(string-append "--openblas-root=" openblas)
(string-append "--fst-root=" openfst)))))
(add-after 'build 'build-ext-and-gstreamer-plugin
(lambda _
(invoke "make" "-C" "online" "depend")
(invoke "make" "-C" "online")
(invoke "make" "-C" "onlinebin" "depend")
(invoke "make" "-C" "onlinebin")
(invoke "make" "-C" "gst-plugin" "depend")
(invoke "make" "-C" "gst-plugin")))
;; TODO: also install the executables.
(replace 'install
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(inc (string-append out "/include"))
(lib (string-append out "/lib")))
(mkdir-p lib)
;; The build phase installed symlinks to the actual
;; libraries. Install the actual targets.
(for-each (lambda (file)
(let ((target (readlink file)))
(delete-file file)
(install-file target lib)))
(find-files lib "\\.so"))
;; Install headers
(for-each (lambda (file)
(let ((target-dir (string-append inc "/" (dirname file))))
(install-file file target-dir)))
(find-files "." "\\.h"))
(install-file "gst-plugin/libgstonlinegmmdecodefaster.so"
(string-append lib "/gstreamer-1.0"))))))))
(inputs
(list alsa-lib
`(,gfortran "lib")
glib
gstreamer
jack-1
openblas
openfst
portaudio
python))
(native-inputs
(list `(,glib "bin") ; glib-genmarshal
grep
sed
pkg-config
which))
(home-page "https://kaldi-asr.org/")
(synopsis "Speech recognition toolkit")
(description "Kaldi is an extensible toolkit for speech recognition
written in C++.")
(license license:asl2.0))))
(define kaldi-for-vosk
(let* ((commit "a25f216f5ce4eec5e45a6ab7651e20c9840a05cd")
(revision "0")
(openfst openfst-for-vosk))
(package
(inherit kaldi)
(name "kaldi")
(version (git-version "0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/alphacep/kaldi")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "16w90za8narkfi590cxj4p7vc1f5sdxc927g5hk6kh4l3mf6iisl"))))
(inputs
(list alsa-lib
glib
gstreamer
jack-2
openblas
openfst
portaudio
python))
(arguments
(list
#:test-target "test"
#:make-flags '(list "online2" "lm" "rnnlm")
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "src")))
(replace 'configure
(lambda _
(let ((portaudio #$(this-package-input "portaudio"))
(openfst #$(this-package-input "openfst"))
(openblas #$(this-package-input "openblas")))
#$@(if (target-x86?)
'()
#~((substitute* "makefiles/linux_openblas.mk"
(("-msse -msse2") ""))))
(substitute* "makefiles/default_rules.mk"
(("/bin/bash") (which "bash")))
(substitute* "Makefile"
(("ext_depend: check_portaudio")
"ext_depend:"))
(substitute* '("online/Makefile"
"onlinebin/Makefile"
"gst-plugin/Makefile")
(("../../tools/portaudio/install")
portaudio))
(substitute* "matrix/Makefile" ;temporary test bypass
(("matrix-lib-test sparse-matrix-test") ""))
(substitute* "cudamatrix/Makefile"
((" cu-array-test") ""))
;; This `configure' script doesn't support variables passed as
;; arguments, nor does it support "prefix".
(substitute* "configure"
(("check_for_slow_expf;") "")
;; This affects the RPATH and also serves as the installation
;; directory.
(("KALDILIBDIR=`pwd`/lib")
(string-append "KALDILIBDIR=" #$output "/lib"))
(("OPENBLASROOT=\\\"\\$\\(rel2abs ..\\/tools\\/OpenBLAS\\/install\\)\\\"")
(string-append "OPENBLASROOT=\"" openblas "\""))
(("-L\\$OPENBLASLIBDIR -l:libopenblas.a -l:libblas.a -l:liblapack.a -l:libf2c.a")
(string-append "-L$OPENBLASLIBDIR -lopenblas "
"-L" openblas "/lib -lopenblas")))
(mkdir-p #$output) ; must exist
(setenv "CONFIG_SHELL" (which "bash"))
(setenv "OPENFST_VER" #$(package-version openfst))
(invoke "./configure"
"--use-cuda=no"
"--mathlib=OPENBLAS_CLAPACK"
"--shared"
(string-append "--fst-root=" openfst)))))
(add-after 'configure 'optimize-build
(lambda _ (substitute* "kaldi.mk" ((" -O1") " -O3"))))
(replace 'install
(lambda _
(let ((inc (string-append #$output "/include"))
(lib (string-append #$output "/lib")))
;; The build phase installed symlinks to the actual
;; libraries. Install the actual targets.
(for-each (lambda (file)
(let ((target (readlink file)))
(delete-file file)
(install-file target lib)))
(find-files lib "\\.so"))
;; Install headers
(for-each (lambda (file)
(let ((target-dir (string-append inc "/" (dirname file))))
(install-file file target-dir)))
(find-files "." "\\.h")))))))))))
(define-public gst-kaldi-nnet2-online
(let ((commit "7888ae562a65bd7e406783ce2c33535bc66a30ef")
(revision "3"))
(package
(name "gst-kaldi-nnet2-online")
(version (git-version "0" revision commit))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/alumae/gst-kaldi-nnet2-online")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0xp59a6lmx1y24i8bkmxcm27lhm5x5m6y41670yjzhamcbnx8jcr"))))
(build-system gnu-build-system)
(arguments
(list
#:tests? #f ; there are none
#:make-flags
'(list (string-append "SHELL="
(assoc-ref %build-inputs "bash") "/bin/bash")
(string-append "KALDI_ROOT="
(assoc-ref %build-inputs "kaldi-src"))
(string-append "KALDILIBDIR="
(assoc-ref %build-inputs "kaldi") "/lib")
"KALDI_FLAVOR=dynamic")
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "src")))
(replace 'configure
(lambda* (#:key inputs #:allow-other-keys)
(let ((glib (assoc-ref inputs "glib")))
(setenv "CXXFLAGS" "-fPIC")
(setenv "CPLUS_INCLUDE_PATH"
(string-append glib "/include/glib-2.0:"
glib "/lib/glib-2.0/include:"
(assoc-ref inputs "gstreamer")
"/include/gstreamer-1.0:"
(getenv "CPLUS_INCLUDE_PATH"))))
(substitute* "Makefile"
(("include \\$\\(KALDI_ROOT\\)/src/kaldi.mk") "")
(("\\$\\(error Cannot find") "#"))))
(add-before 'build 'build-depend
(lambda* (#:key make-flags #:allow-other-keys)
(apply invoke "make" "depend" make-flags)))
(replace 'install
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(lib (string-append out "/lib/gstreamer-1.0")))
(install-file "libgstkaldinnet2onlinedecoder.so" lib)))))))
(inputs
(list glib gstreamer jansson openfst-1.7.3 kaldi))
(native-inputs
`(("bash" ,bash)
("glib:bin" ,glib "bin") ; glib-genmarshal
("kaldi-src" ,(package-source kaldi))
("pkg-config" ,pkg-config)))
(home-page "https://kaldi-asr.org/")
(synopsis "Gstreamer plugin for decoding speech")
(description "This package provides a GStreamer plugin that wraps
Kaldi's @code{SingleUtteranceNnet2Decoder}. It requires iVector-adapted DNN
acoustic models. The iVectors are adapted to the current audio stream
automatically.")
(license license:asl2.0))))
(define-public kaldi-gstreamer-server
;; This is the tip of the py3 branch
(let ((commit "f79e204d751a5964918001822e4520fa2acfd246")
(revision "3"))
(package
(name "kaldi-gstreamer-server")
(version (git-version "0" revision commit))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/alumae/kaldi-gstreamer-server")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"1iijq8jmgdxr7961inal1ggs496ymxradm51m4sqx8vl983x14y8"))))
(build-system gnu-build-system)
(arguments
`(#:tests? #f ; there are no tests that can be run automatically
#:modules ((guix build utils)
(guix build gnu-build-system)
(srfi srfi-26))
#:phases
(modify-phases %standard-phases
(delete 'configure)
(replace 'build
(lambda* (#:key outputs #:allow-other-keys)
;; Disable hash randomization to ensure the generated .pycs
;; are reproducible.
(setenv "PYTHONHASHSEED" "0")
(with-directory-excursion "kaldigstserver"
;; See https://github.com/alumae/kaldi-gstreamer-server/issues/232
(substitute* "master_server.py"
(("\\.replace\\('\\\\.*") ")"))
;; This is a Python 2 file
(delete-file "decoder_test.py")
(delete-file "test-buffer.py")
(for-each (lambda (file)
(apply invoke
`("python"
"-m" "compileall"
"-f" ; force rebuild
,file)))
(find-files "." "\\.py$")))))
(replace 'install
(lambda* (#:key inputs outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(bin (string-append out "/bin"))
(share (string-append out "/share/kaldi-gstreamer-server/")))
;; Install Python files
(with-directory-excursion "kaldigstserver"
(for-each (cut install-file <> share)
(find-files "." ".*")))
;; Install sample configuration files
(for-each (cut install-file <> share)
(find-files "." "\\.yaml"))
;; Install executables
(mkdir-p bin)
(let* ((server (string-append bin "/kaldi-gst-server"))
(client (string-append bin "/kaldi-gst-client"))
(worker (string-append bin "/kaldi-gst-worker"))
(PYTHONPATH (getenv "GUIX_PYTHONPATH"))
(GST_PLUGIN_PATH (string-append
(assoc-ref inputs "gst-kaldi-nnet2-online")
"/lib/gstreamer-1.0:${GST_PLUGIN_PATH}"))
(wrap (lambda (wrapper what)
(with-output-to-file wrapper
(lambda _
(format #t
"#!~a
export GUIX_PYTHONPATH=~a
export GST_PLUGIN_PATH=~a
exec ~a ~a/~a \"$@\"~%"
(which "bash") PYTHONPATH GST_PLUGIN_PATH
(which "python") share what)))
(chmod wrapper #o555))))
(for-each wrap
(list server client worker)
(list "master_server.py"
"client.py"
"worker.py")))))))))
(inputs
(list gst-kaldi-nnet2-online
python-wrapper
python-pygobject
python-pyyaml
python-tornado-6))
(home-page "https://github.com/alumae/kaldi-gstreamer-server")
(synopsis "Real-time full-duplex speech recognition server")
(description "This is a real-time full-duplex speech recognition server,
based on the Kaldi toolkit and the GStreamer framework and implemented in
Python.")
(license license:bsd-2))))
;; Note that Tensorflow includes a "third_party" directory, which seems to not
;; only contain modified subsets of upstream library source code, but also
;; adapter headers provided by Google (such as the fft.h header, which is not
;; part of the upstream project code). The Tensorflow code includes headers
;; from the "third_party" directory. It does not look like we can replace
;; these headers with unmodified upstream files, so we keep them.
(define-public tensorflow
(package
(name "tensorflow")
(version "1.9.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/tensorflow/tensorflow")
(commit (string-append "v" version))))
(file-name (string-append "tensorflow-" version "-checkout"))
(sha256
(base32
"0a9kwha395g3wgxfwln5j8vn9nkspmd75xldrlqdq540w996g8xa"))
(patches
(search-patches "tensorflow-c-api-fix.patch"))))
(build-system cmake-build-system)
(arguments
`(#:tests? #f ; no "check" target
#:build-type "Release"
#:configure-flags
(let ((protobuf (assoc-ref %build-inputs "protobuf"))
(protobuf:native (assoc-ref %build-inputs "protobuf:native"))
(jsoncpp (assoc-ref %build-inputs "jsoncpp"))
(snappy (assoc-ref %build-inputs "snappy"))
(sqlite (assoc-ref %build-inputs "sqlite")))
(list
;; Use protobuf from Guix
(string-append "-Dprotobuf_STATIC_LIBRARIES="
protobuf "/lib/libprotobuf.so")
(string-append "-DPROTOBUF_PROTOC_EXECUTABLE="
protobuf:native "/bin/protoc")
;; Use snappy from Guix
(string-append "-Dsnappy_STATIC_LIBRARIES="
snappy "/lib/libsnappy.so")
;; Yes, this is not actually the include directory but a prefix...
(string-append "-Dsnappy_INCLUDE_DIR=" snappy)
;; Use jsoncpp from Guix
(string-append "-Djsoncpp_STATIC_LIBRARIES="
jsoncpp "/lib/libjsoncpp.so")
;; Yes, this is not actually the include directory but a prefix...
(string-append "-Djsoncpp_INCLUDE_DIR=" jsoncpp)
;; Use sqlite from Guix
(string-append "-Dsqlite_STATIC_LIBRARIES="
sqlite "/lib/libsqlite.a")
;; Use system libraries wherever possible. Currently, this
;; only affects zlib.
"-Dsystemlib_ALL=ON"
"-Dtensorflow_ENABLE_POSITION_INDEPENDENT_CODE=ON"
"-Dtensorflow_BUILD_SHARED_LIB=ON"
"-Dtensorflow_OPTIMIZE_FOR_NATIVE_ARCH=OFF"
"-Dtensorflow_ENABLE_SSL_SUPPORT=OFF"
"-Dtensorflow_BUILD_CONTRIB_KERNELS=OFF"))
#:make-flags
(list "CC=gcc")
#:modules ((ice-9 ftw)
(guix build utils)
(guix build cmake-build-system)
((guix build python-build-system)
#:select (python-version)))
#:imported-modules (,@%cmake-build-system-modules
(guix build python-build-system))
#:phases
(modify-phases %standard-phases
(add-after 'unpack 'set-source-file-times-to-1980
;; At the end of the tf_python_build_pip_package target, a ZIP
;; archive should be generated via bdist_wheel, but it fails with
;; "ZIP does not support timestamps before 1980". Luckily,
;; SOURCE_DATE_EPOCH is respected, which we set to some time in
;; 1980.
(lambda _ (setenv "SOURCE_DATE_EPOCH" "315532800")))
(add-after 'unpack 'python3.10-compatibility
(lambda _
;; See https://github.com/tensorflow/tensorflow/issues/20517#issuecomment-406373913
(substitute* '("tensorflow/python/eager/pywrap_tfe_src.cc"
"tensorflow/python/lib/core/ndarray_tensor.cc"
"tensorflow/python/lib/core/py_func.cc")
(("PyUnicode_AsUTF8") "(char *)PyUnicode_AsUTF8"))
(substitute* "tensorflow/c/eager/c_api.h"
(("unsigned char async")
"unsigned char is_async"))
;; Remove dependency on tensorboard, a complicated but probably
;; optional package.
(substitute* "tensorflow/tools/pip_package/setup.py"
((".*'tensorboard >.*") ""))
;; Fix the build with python-3.8, taken from rejected upstream patch:
;; https://github.com/tensorflow/tensorflow/issues/34197
(substitute* (find-files "tensorflow/python" ".*\\.cc$")
(("(nullptr,)(\\ +/. tp_print)" _ _ tp_print)
(string-append "NULL, " tp_print)))
;; Many collections classes have been moved to collections.abc
(substitute* '("tensorflow/python/framework/ops.py"
"tensorflow/python/ops/clip_ops.py"
"tensorflow/python/ops/data_flow_ops.py"
"tensorflow/python/ops/gradients_impl.py"
"tensorflow/python/training/input.py"
"tensorflow/python/training/checkpointable/data_structures.py"
"tensorflow/python/util/nest.py"
"tensorflow/python/util/protobuf/compare.py")
(("collections.Mapping") "collections.abc.Mapping")
(("collections.Sequence") "collections.abc.Sequence"))
(substitute* "tensorflow/python/feature_column/feature_column.py"
(("collections.Iterator") "collections.abc.Iterator"))
(substitute* "tensorflow/python/ops/sparse_ops.py"
(("collections.Iterable") "collections.abc.Iterable"))
(substitute* "tensorflow/python/keras/callbacks.py"
(("from collections import Iterable")
"from collections.abc import Iterable"))
(substitute* "tensorflow/python/ops/variable_scope.py"
(("collections_lib.Sequence") "collections_lib.abc.Sequence"))
;; XXX: it is not clear if this is a good idea, but the build
;; system tries to overwrite the __or__ and __ror__ methods of
;; the Tensor class.
(substitute* "tensorflow/python/framework/ops.py"
(("if not isinstance\\(existing, type\\(object.__lt__\\)\\)" m)
(string-append m
" and not isinstance(existing, type(object.__or__))")))
;; Fix the build with numpy >= 1.19.
;; Suggested in https://github.com/tensorflow/tensorflow/issues/41086#issuecomment-656833081
(substitute* "tensorflow/python/lib/core/bfloat16.cc"
(("void BinaryUFunc\\(char\\*\\* args, npy_intp\\* dimensions, npy_intp\\* steps,")
"void BinaryUFunc(char** args, npy_intp const* dimensions, npy_intp const* steps,")
(("void CompareUFunc\\(char\\*\\* args, npy_intp\\* dimensions, npy_intp\\* steps,")
"void CompareUFunc(char** args, npy_intp const* dimensions, npy_intp const* steps,"))
;; ...and for numpy >= 1.23
(substitute* "tensorflow/python/framework/tensor_util.py"
(("np.asscalar\\(x\\[0\\]\\)") "x[0].item()")
(("np.asscalar\\(x\\)") "x.item()")
(("np.asscalar\\(v\\)") "np.ndarray.item(v)")
(("return np.asscalar") "return np.ndarray.item"))
(substitute* "tensorflow/python/kernel_tests/cwise_ops_test.py"
(("np.asscalar\\(np.random.rand\\(1\\) \\* 100.\\)")
"(np.random.rand(1) * 100.).item()"))
(substitute* '("tensorflow/python/framework/fast_tensor_util.pyx"
"tensorflow/python/estimator/canned/linear_testing_utils.py")
(("np.asscalar") "np.ndarray.item"))))
(add-after 'python3.10-compatibility 'chdir
(lambda _ (chdir "tensorflow/contrib/cmake")))
(add-after 'chdir 'disable-downloads
(lambda* (#:key inputs #:allow-other-keys)
(substitute* (find-files "external" "\\.cmake$")
(("GIT_REPOSITORY.*") "")
(("GIT_TAG.*") "")
(("PREFIX ")
"DOWNLOAD_COMMAND \"\"\nPREFIX "))
;; Use packages from Guix
(let ((grpc (assoc-ref inputs "grpc")))
(substitute* "CMakeLists.txt"
;; Sqlite
(("include\\(sqlite\\)") "")
(("\\$\\{sqlite_STATIC_LIBRARIES\\}")
(search-input-file inputs "/lib/libsqlite3.so"))
(("sqlite_copy_headers_to_destination") "")
;; PNG
(("include\\(png\\)") "")
(("\\$\\{png_STATIC_LIBRARIES\\}")
(search-input-file inputs "/lib/libpng16.so"))
(("png_copy_headers_to_destination") "")
;; JPEG
(("include\\(jpeg\\)") "")
(("\\$\\{jpeg_STATIC_LIBRARIES\\}")
(search-input-file inputs "/lib/libjpeg.so"))
(("jpeg_copy_headers_to_destination") "")
;; GIF
(("include\\(gif\\)") "")
(("\\$\\{gif_STATIC_LIBRARIES\\}")
(search-input-file inputs "/lib/libgif.so"))
(("gif_copy_headers_to_destination") "")
;; lmdb
(("include\\(lmdb\\)") "")
(("\\$\\{lmdb_STATIC_LIBRARIES\\}")
(search-input-file inputs "/lib/liblmdb.so"))
(("lmdb_copy_headers_to_destination") "")
;; Protobuf
(("include\\(protobuf\\)") "")
(("protobuf_copy_headers_to_destination") "")
(("^ +protobuf") "")
;; gRPC
(("include\\(grpc\\)")
"find_package(grpc REQUIRED NAMES gRPC)")
(("list\\(APPEND tensorflow_EXTERNAL_DEPENDENCIES grpc\\)") "")
;; Eigen
(("include\\(eigen\\)")
(string-append "find_package(eigen REQUIRED NAMES Eigen3)
set(eigen_INCLUDE_DIRS ${CMAKE_CURRENT_BINARY_DIR}/external/eigen_archive "
(assoc-ref inputs "eigen") "/include/eigen3)"))
(("^ +eigen") "")
;; snappy
(("include\\(snappy\\)")
"add_definitions(-DTF_USE_SNAPPY)")
(("list\\(APPEND tensorflow_EXTERNAL_DEPENDENCIES snappy\\)") "")
;; jsoncpp
(("include\\(jsoncpp\\)") "")
(("^ +jsoncpp") ""))
(substitute* "tf_core_framework.cmake"
((" grpc") "")
(("\\$\\{GRPC_BUILD\\}/grpc_cpp_plugin")
(which "grpc_cpp_plugin"))
;; Link with gRPC libraries
(("add_library\\(tf_protos_cc.*" m)
(string-append m
(format #f "\ntarget_link_libraries(tf_protos_cc PRIVATE \
~a/lib/libgrpc++_unsecure.a \
~a/lib/libgrpc_unsecure.a \
~a/lib/libaddress_sorting.a \
~a/lib/libgpr.a \
~a//lib/libcares.so
)\n"
grpc grpc grpc grpc
(assoc-ref inputs "c-ares"))))))
(substitute* "tf_tools.cmake"
(("add_dependencies\\(\\$\\{proto_text.*") ""))
;; Remove dependency on bundled grpc
(substitute* "tf_core_distributed_runtime.cmake"
(("tf_core_cpu grpc") "tf_core_cpu"))
;; This directory is a dependency of many targets.
(mkdir-p "protobuf")))
(add-after 'configure 'unpack-third-party-sources
(lambda* (#:key inputs outputs #:allow-other-keys)
;; This is needed to configure bundled packages properly.
(setenv "CONFIG_SHELL" (which "bash"))
(for-each
(lambda (name)
(let* ((what (assoc-ref inputs (string-append name "-src")))
(name* (string-map (lambda (c)
(if (char=? c #\-)
#\_ c)) name))
(where (string-append "../build/" name* "/src/" name*)))
(cond
((string-suffix? ".zip" what)
(mkdir-p where)
(with-directory-excursion where
(invoke "unzip" what)))
((string-suffix? ".tar.gz" what)
(mkdir-p where)
(invoke "tar" "xf" what
"-C" where "--strip-components=1"))
(else
(let ((parent (dirname where)))
(mkdir-p parent)
(with-directory-excursion parent
(when (file-exists? name*)
(delete-file-recursively name*))
(copy-recursively what name*)
(map make-file-writable
(find-files name* ".*"))))))))
(list "boringssl"
"cub"
"double-conversion"
"farmhash"
"fft2d"
"highwayhash"
"nsync"
"re2"))
;; https://github.com/google/farmhash/issues/24
(substitute* "../build/farmhash/src/farmhash/src/farmhash.cc"
(("using namespace std;") "")
(("make_pair") "std::make_pair")
(("pair<") "std::pair<"))
(rename-file "../build/cub/src/cub/cub-1.8.0/"
"../build/cub/src/cub/cub/")
(setenv "LDFLAGS"
(string-append "-Wl,-rpath="
(assoc-ref outputs "out") "/lib"))))
(add-after 'unpack 'fix-python-build
(lambda* (#:key inputs outputs #:allow-other-keys)
(mkdir-p "protobuf-src")
(invoke "tar" "xf" (assoc-ref inputs "protobuf:src")
"-C" "protobuf-src" "--strip-components=1")
(mkdir-p "eigen-src")
(copy-recursively (assoc-ref inputs "eigen:src") "eigen-src")
;; distutils.sysconfig is deprecated and prints a deprecation
;; warning that breaks the generated CXX_INCLUDES line.
(substitute* "tensorflow/contrib/cmake/tf_python.cmake"
(("import distutils.sysconfig; print\\(distutils.sysconfig.get_python_inc\\(\\)\\)")
"import sysconfig; print(sysconfig.get_path('include'))"))
(substitute* "tensorflow/contrib/cmake/tf_python.cmake"
;; Take protobuf source files from our source package.
(("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/protobuf/src/protobuf/src/google")
(string-append (getcwd) "/protobuf-src/src/google")))
(substitute* '("tensorflow/contrib/cmake/tf_shared_lib.cmake"
"tensorflow/contrib/cmake/tf_python.cmake")
;; Take Eigen source files from our source package.
(("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/eigen/src/eigen/")
(string-append (getcwd) "/eigen-src/"))
;; Take Eigen headers from our own package.
(("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/external/eigen_archive")
(search-input-directory inputs "/include/eigen3")))
;; Correct the RUNPATH of ops libraries generated for Python.
;; TODO: this doesn't work :(
;; /gnu/store/...-tensorflow-1.9.0/lib/python3.7/site-packages/tensorflow/contrib/seq2seq/python/ops/lib_beam_search_ops.so:
;; warning: RUNPATH contains bogus entries: ("/tmp/guix-build-tensorflow-1.9.0.drv-0/source/tensorflow/contrib/build")
;; /gnu/store/...-tensorflow-1.9.0/lib/python3.7/site-packages/tensorflow/contrib/seq2seq/python/ops/lib_beam_search_ops.so:
;; error: depends on 'libpywrap_tensorflow_internal.so', which
;; cannot be found in RUNPATH ...
(substitute* "tensorflow/contrib/cmake/tf_cc_ops.cmake"
(("set_target_properties.*")
(string-append "set_target_properties(${_AT_TARGET} PROPERTIES \
COMPILE_FLAGS ${target_compile_flags} \
INSTALL_RPATH_USE_LINK_PATH TRUE \
INSTALL_RPATH " (assoc-ref outputs "out") "/lib)\n")))))
(add-after 'unpack 'patch-cmake-file-to-install-c-headers
(lambda _
(substitute* "tensorflow/contrib/cmake/tf_c.cmake"
(("if\\(tensorflow_BUILD_PYTHON_BINDINGS" m)
(string-append
"install(DIRECTORY ${tensorflow_source_dir}/tensorflow/c/ \
DESTINATION include/tensorflow/c FILES_MATCHING PATTERN \"*.h\")\n" m)))))
(add-after 'build 'build-c-bindings
(lambda* (#:key outputs parallel-build? #:allow-other-keys)
(invoke "make" "-j" (if parallel-build?
(number->string (parallel-job-count))
"1")
"tf_c")))
(add-after 'install 'build-pip-package
(lambda* (#:key outputs parallel-build? #:allow-other-keys)
(invoke "make" "-j" (if parallel-build?
(number->string (parallel-job-count))
"1")
"tf_python_build_pip_package")))
(add-after 'build-pip-package 'install-python
(lambda* (#:key inputs outputs #:allow-other-keys)
(let ((out (assoc-ref outputs "out"))
(wheel (car (find-files "../build/tf_python/dist/" "\\.whl$")))
(python-version (python-version
(assoc-ref inputs "python"))))
(invoke "python" "-m" "pip" "install" wheel
(string-append "--prefix=" out))
;; XXX: broken RUNPATH, see fix-python-build phase.
(delete-file
(string-append
out "/lib/python" python-version
"/site-packages/tensorflow/contrib/"
"seq2seq/python/ops/lib_beam_search_ops.so"))))))))
(native-inputs
`(("pkg-config" ,pkg-config)
("protobuf:native" ,protobuf-3.6) ; protoc
("protobuf:src" ,(package-source protobuf-3.6))
("eigen:src" ,(package-source eigen-for-tensorflow))
;; install_pip_packages.sh wants setuptools 39.1.0 specifically.
("python-setuptools" ,python-setuptools-for-tensorflow)
;; The commit hashes and URLs for third-party source code are taken
;; from "tensorflow/workspace.bzl".
("boringssl-src"
,(let ((commit "ee7aa02")
(revision "1"))
(origin
(method git-fetch)
(uri (git-reference
(url "https://boringssl.googlesource.com/boringssl")
(commit commit)))
(file-name (string-append "boringssl-0-" revision
(string-take commit 7)
"-checkout"))
(sha256
(base32
"1jf693q0nw0adsic6cgmbdx6g7wr4rj4vxa8j1hpn792fqhd8wgw")))))
("cub-src"
,(let ((version "1.8.0"))
(origin
(method url-fetch)
(uri (string-append "https://mirror.bazel.build/github.com/NVlabs/"
"cub/archive/" version ".zip"))
(file-name (string-append "cub-" version ".zip"))
(sha256
(base32
"1hsqikqridb90dkxkjr2918dcry6pfh46ccnwrzawl56aamhdykb")))))
("double-conversion-src"
,(let ((commit "5664746")
(revision "1"))
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/google/double-conversion")
(commit commit)))
(file-name
(git-file-name "double-conversion"
(string-append "0-" revision "."
(string-take commit 7))))
(sha256
(base32
"1h5lppqqxcvdg5jq42i5msgwx20ryij3apvmndflngrgdpc04gn1")))))
("farmhash-src"
,(let ((commit "816a4ae622e964763ca0862d9dbd19324a1eaf45"))
(origin
(method url-fetch)
(uri (string-append
"https://mirror.bazel.build/github.com/google/farmhash/archive/"
commit ".tar.gz"))
(file-name (string-append "farmhash-0-" (string-take commit 7)
".tar.gz"))
(sha256
(base32
"185b2xdxl4d4cnsnv6abg8s22gxvx8673jq2yaq85bz4cdy58q35")))))
;; The license notice on the home page at
;; http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html says:
;; Copyright Takuya OOURA, 1996-2001
;;
;; You may use, copy, modify and distribute this code for any purpose
;; (include commercial use) and without fee. Please refer to this
;; package when you modify this code.
;;
;; We take the identical tarball from the Bazel mirror, because the URL
;; at the home page is not versioned and might change.
("fft2d-src"
,(origin
(method url-fetch)
(uri "https://mirror.bazel.build/www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz")
(file-name "fft2d.tar.gz")
(sha256
(base32
"15jjkfvhqvl2c0753d2di8hz0pyzn598g74wqy79awdrf1y67fsj"))))
("highwayhash-src"
,(let ((commit "be5edafc2e1a455768e260ccd68ae7317b6690ee")
(revision "1"))
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/google/highwayhash")
(commit commit)))
(file-name (string-append "highwayhash-0-" revision
(string-take commit 7)
"-checkout"))
(sha256
(base32
"154jwf98cyy54hldr94pgjn85zynly3abpnc1avmb8a18lzwjyb6")))))
("nsync-src"
,(let ((version "0559ce013feac8db639ee1bf776aca0325d28777")
(revision "1"))
(origin
(method url-fetch)
(uri (string-append "https://mirror.bazel.build/"
"github.com/google/nsync/archive/"
version ".tar.gz"))
(file-name (string-append "nsync-0." revision
"-" (string-take version 7)
".tar.gz"))
(sha256
(base32
"0qdkyqym34x739mmzv97ah5r7ph462v5xkxqxvidmcfqbi64b132")))))
("re2-src"
,(let ((commit "e7efc48")
(revision "1"))
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/google/re2")
(commit commit)))
(file-name (string-append "re2-0-" revision
(string-take commit 7)
"-checkout"))
(sha256
(base32
"161g9841rjfsy5pn52fcis0s9hdr7rxvb06pad38j5rppfihvign")))))
("googletest" ,googletest)
("swig" ,swig)
("unzip" ,unzip)))
(propagated-inputs
(list python-absl-py
python-astor
python-gast
python-grpcio
python-numpy
python-protobuf-3.6
python-six
python-termcolor
python-wheel))
(inputs
`(("c-ares" ,c-ares)
("eigen" ,eigen-for-tensorflow)
("gemmlowp" ,gemmlowp-for-tensorflow)
("lmdb" ,lmdb)
("libjpeg" ,libjpeg-turbo)
("libpng" ,libpng)
("giflib" ,giflib)
("grpc" ,grpc-1.16.1 "static")
("grpc:bin" ,grpc-1.16.1)
("jsoncpp" ,jsoncpp-for-tensorflow)
("snappy" ,snappy)
("sqlite" ,sqlite)
("protobuf" ,protobuf-3.6)
("python" ,python-wrapper)
("zlib" ,zlib)))
(home-page "https://tensorflow.org")
(synopsis "Machine learning framework")
(description
"TensorFlow is a flexible platform for building and training machine
learning models. It provides a library for high performance numerical
computation and includes high level Python APIs, including both a sequential
API for beginners that allows users to build models quickly by plugging
together building blocks and a subclassing API with an imperative style for
advanced research.")
(license license:asl2.0)))
(define-public tensorflow-lite
(package
(name "tensorflow-lite")
(version "2.13.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/tensorflow/tensorflow")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"09mfskmpvpbq919wibnw3bnhi1y3hkx3qrzm72gdr0gsivn1yb3w"))
(patches (search-patches "tensorflow-lite-unbundle.patch"))))
(build-system cmake-build-system)
(arguments
(list
#:tests? #false ;tests are not building now
#:build-type "Release"
#:modules '((ice-9 match)
(guix build utils)
(guix build cmake-build-system))
#:configure-flags
#~(list
;; "-DTFLITE_KERNEL_TEST=ON" ; TODO: build tests
;; so cmake can be used to find this from other packages
"-DTFLITE_ENABLE_INSTALL=ON"
;; Use Guix's own packages as dependencies.
"-DCMAKE_FIND_PACKAGE_PREFER_CONFIG=ON"
"-DTFLITE_ENABLE_GPU=ON"
"-DTFLITE_ENABLE_RUY=ON"
;; TODO: turn on Farmhash
;;"-DSYSTEM_FARMHASH=ON"
(string-append "-Dabsl_DIR=" #$(this-package-input "abseil-cpp")
"/lib/cmake/absl")
(string-append "-DEigen3_DIR=" #$(this-package-input "eigen")
"/share/eigen3/cmake")
(string-append "-DFlatBuffers_DIR="
#$(this-package-input "flatbuffers-shared")
"/lib/cmake/flatbuffers")
(string-append "-DNEON_2_SSE_DIR=" #$(this-package-input "neon2sse")
"/lib/cmake/NEON_2_SSE")
(string-append "-Dcpuinfo_DIR=" #$(this-package-input "cpuinfo")
"/share/cpuinfo")
(string-append "-Druy_DIR=" #$(this-package-input "ruy")
"/lib/cmake/ruy")
;; TODO: The build system attempts to build xnnpack from source. We
;; would like to use our xnnpack package here, but this requires more
;; work.
"-DTFLITE_ENABLE_XNNPACK=OFF"
;; Don't fetch the sources. We have these already
"-Dgemmlowp_POPULATED=TRUE"
"-Degl_headers_POPULATED=TRUE"
"-Dfp16_headers_POPULATED=TRUE"
"-Dopencl_headers_POPULATED=TRUE"
"-Dopengl_headers_POPULATED=TRUE"
"-Dvulkan_headers_POPULATED=TRUE"
"-Dgoogletest_POPULATED=TRUE"
"-Dgoogle_benchmark_POPULATED=TRUE"
"-Dnsync_POPULATED=TRUE"
"-Dre2_POPULATED=TRUE"
"-DFFT2D_SOURCE_DIR=/tmp/fft2d"
"-DFARMHASH_SOURCE_DIR=/tmp/farmhash"
(string-append "-Dgemmlowp_ROOT=" #$(this-package-input "gemmlowp")))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "tensorflow/lite")))
(add-after 'chdir 'copy-sources
(lambda* (#:key inputs #:allow-other-keys)
;; TODO: properly use Guix's pthreaqdpool. We are not using
;; pthreadpool because we are not enabling xnnpack
(substitute* "CMakeLists.txt"
(("if\\(NOT DEFINED PTHREADPOOL_SOURCE_DIR\\)")
"if(false)"))
(substitute* "CMakeLists.txt"
(("if\\(NOT TARGET pthreadpool\\)")
"if(false)"))
;; Don't fetch source code; we already have everything we need.
(substitute* '("tools/cmake/modules/fft2d.cmake"
"tools/cmake/modules/farmhash.cmake"
"tools/cmake/modules/gemmlowp.cmake")
(("OverridableFetchContent_Populate.*") ""))
(mkdir-p "/tmp/farmhash")
(with-directory-excursion "/tmp/farmhash"
(invoke "tar" "--strip-components=1"
"-xf" (assoc-ref inputs "farmhash-src")))
(mkdir-p "/tmp/fft2d")
(with-directory-excursion "/tmp/fft2d"
(invoke "tar" "--strip-components=1"
"-xf" (assoc-ref inputs "fft2d-src")))))
(add-after 'build 'build-shared-library
(lambda* (#:key configure-flags #:allow-other-keys)
(mkdir-p "c")
(with-directory-excursion "c"
(apply invoke "cmake" (append configure-flags (list "../../lite/c")))
(invoke "cmake" "--build" "." "-j" (number->string
(parallel-job-count))))))
(add-after 'build-shared-library 'build-benchmark-model
(lambda _
(invoke "cmake" "--build" "." "--target" "benchmark_model"
"-j" (number->string (parallel-job-count)))))
(add-after 'install 'install-extra
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(lib (string-append out "/lib"))
(bin (string-append out "/bin")))
(install-file "../build/c/libtensorflowlite_c.so" lib)
(install-file "../build/tools/benchmark/benchmark_model" bin))))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "ctest" "-L" "plain")))))))
(inputs
`(("abseil-cpp" ,abseil-cpp-20200923.3)
("cpuinfo" ,cpuinfo)
("eigen" ,eigen)
("fp16" ,fp16)
("flatbuffers-shared" ,flatbuffers-next-shared)
("gemmlowp" ,gemmlowp)
("mesa-headers" ,mesa-headers)
("neon2sse" ,neon2sse)
("nsync" ,nsync)
("opencl-clhpp" ,opencl-clhpp)
("opencl-headers" ,opencl-headers)
("opencl-icd-loader" ,opencl-icd-loader)
("pthreadpool" ,pthreadpool)
("python" ,python)
("ruy" ,ruy)
("re2" ,re2)
;;("xnnpack" ,xnnpack) ; TODO: use Guix's copy of xnnpack
("vulkan-headers" ,vulkan-headers)))
(native-inputs
`(("pkg-config" ,pkg-config)
("googletest" ,googletest)
("farmhash-src"
,(let ((commit "816a4ae622e964763ca0862d9dbd19324a1eaf45"))
(origin
(method url-fetch)
(uri (string-append
"https://mirror.bazel.build/github.com/google/farmhash/archive/"
commit ".tar.gz"))
(file-name (git-file-name "farmhash" (string-take commit 8)))
(sha256
(base32
"185b2xdxl4d4cnsnv6abg8s22gxvx8673jq2yaq85bz4cdy58q35")))))
("fft2d-src"
,(origin
(method url-fetch)
(uri (string-append "https://storage.googleapis.com/"
"mirror.tensorflow.org/github.com/petewarden/"
"OouraFFT/archive/v1.0.tar.gz"))
(file-name "fft2d.tar.gz")
(sha256
(base32
"1jfflzi74fag9z4qmgwvp90aif4dpbr1657izmxlgvf4hy8fk9xd"))))))
(home-page "https://www.tensorflow.org")
(synopsis "Machine learning framework")
(description
"TensorFlow is a flexible platform for building and training machine
learning models. This package provides the \"lite\" variant for mobile
devices.")
(license license:asl2.0)))
(define-public dmlc-core
(package
(name "dmlc-core")
(version "0.5")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/dmlc/dmlc-core")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1x4ad1jhn84fywlk031fmv1kxyiscclmrqn9hhj8gz0mh7z9vcrh"))))
(build-system cmake-build-system)
(arguments
`(#:configure-flags
(list "-DGOOGLE_TEST=ON")))
(native-inputs
`(("googletest" ,googletest)
("python" ,python-wrapper)))
(home-page "https://github.com/dmlc/dmlc-core")
(synopsis "Common bricks library for machine learning")
(description
"DMLC-Core is the backbone library to support all DMLC projects,
offers the bricks to build efficient and scalable distributed machine
learning libraries.")
(license license:asl2.0)))
(define-public xgboost
(package
(name "xgboost")
(version "1.7.6")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/dmlc/xgboost")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(patches (search-patches "xgboost-use-system-dmlc-core.patch"))
(sha256
(base32 "16fbm5y3hn6ccflmbdlmn7krrdq7c0az3mxd8j1d23s9ky8niw05"))))
(build-system cmake-build-system)
(arguments
`(#:configure-flags (list "-DGOOGLE_TEST=ON")))
(native-inputs
`(("googletest" ,googletest)
("python" ,python-wrapper)))
(inputs
(list dmlc-core))
(home-page "https://xgboost.ai/")
(synopsis "Gradient boosting (GBDT, GBRT or GBM) library")
(description
"XGBoost is an optimized distributed gradient boosting library designed
to be highly efficient, flexible and portable. It implements machine learning
algorithms under the Gradient Boosting framework. XGBoost provides a parallel
tree boosting (also known as GBDT, GBM) that solve many data science problems
in a fast and accurate way.")
(license license:asl2.0)))
(define-public python-xgboost
(package
(inherit xgboost)
(name "python-xgboost")
(source (package-source xgboost))
(build-system pyproject-build-system)
(arguments
(list
#:tests? #f ; all tests require network access
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'preparations
(lambda _
;; Move python-package content to parent directory to silence
;; some warnings about files not being found if we chdir.
(rename-file "python-package/xgboost" "xgboost")
(rename-file "python-package/README.rst" "README.rst")
(rename-file "python-package/setup.cfg" "setup.cfg")
(rename-file "python-package/setup.py" "setup.py")
;; Skip rebuilding libxgboost.so.
(substitute* "setup.py"
(("ext_modules=\\[CMakeExtension\\('libxgboost'\\)\\],") "")
(("'install_lib': InstallLib,") ""))
;; Remove bad dataset. This has been removed in scipy.
(substitute* "tests/python/testing.py"
(("TestDataset\\('boston', get_boston, 'reg:squarederror', 'rmse'\\),")
"")
(("datasets.load_boston")
"datasets.load_digits"))))
(add-after 'install 'install-version-and-libxgboost
(lambda* (#:key inputs #:allow-other-keys)
(let* ((pylib (string-append #$output "/lib/python"
#$(version-major+minor
(package-version python))
"/site-packages"))
(xgbdir (string-append pylib "/xgboost"))
(version-file (string-append xgbdir "/VERSION"))
(libxgboost (string-append (assoc-ref inputs "xgboost")
"/lib/libxgboost.so")))
(with-output-to-file version-file
(lambda ()
(display #$(package-version xgboost))))
(mkdir-p (string-append xgbdir "/lib"))
(symlink libxgboost (string-append xgbdir "/lib"
"/libxgboost.so"))))))))
(native-inputs
(list python-pandas python-pytest python-scikit-learn))
(inputs
(list xgboost))
(propagated-inputs
(list python-numpy python-scipy))
(synopsis "Python interface for the XGBoost library")))
(define-public python-iml
(package
(name "python-iml")
(version "0.6.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "iml" version))
(sha256
(base32
"1k8szlpm19rcwcxdny9qdm3gmaqq8akb4xlvrzyz8c2d679aak6l"))))
(build-system python-build-system)
(propagated-inputs
(list python-ipython python-numpy python-pandas python-scipy))
(native-inputs
(list python-nose))
(home-page "https://github.com/interpretable-ml/iml")
(synopsis "Interpretable Machine Learning (iML) package")
(description "Interpretable ML (iML) is a set of data type objects,
visualizations, and interfaces that can be used by any method designed to
explain the predictions of machine learning models (or really the output of
any function). It currently contains the interface and IO code from the Shap
project, and it will potentially also do the same for the Lime project.")
(license license:expat)))
(define-public python-keras-applications
(package
(name "python-keras-applications")
(version "1.0.8")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras_Applications" version))
(sha256
(base32
"1rcz31ca4axa6kzhjx4lwqxbg4wvlljkj8qj9a7p9sfd5fhzjyam"))))
(build-system python-build-system)
;; The tests require Keras, but this package is needed to build Keras.
(arguments '(#:tests? #f))
(propagated-inputs
(list python-h5py python-numpy))
(native-inputs
(list python-pytest python-pytest-cov python-pytest-pep8
python-pytest-xdist))
(home-page "https://github.com/keras-team/keras-applications")
(synopsis "Reference implementations of popular deep learning models")
(description
"This package provides reference implementations of popular deep learning
models for use with the Keras deep learning framework.")
(license license:expat)))
(define-public python-keras-preprocessing
(package
(name "python-keras-preprocessing")
(version "1.1.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras_Preprocessing" version))
(sha256
(base32
"1r98nm4k1svsqjyaqkfk23i31bl1kcfcyp7094yyj3c43phfp3as"))))
(build-system python-build-system)
(propagated-inputs
(list python-numpy python-six))
(native-inputs
(list python-pandas
python-pillow
python-pytest
python-pytest-cov
python-pytest-xdist
tensorflow))
(home-page "https://github.com/keras-team/keras-preprocessing/")
(synopsis "Data preprocessing and augmentation for deep learning models")
(description
"Keras Preprocessing is the data preprocessing and data augmentation
module of the Keras deep learning library. It provides utilities for working
with image data, text data, and sequence data.")
(license license:expat)))
(define-public python-keras
(package
(name "python-keras")
(version "2.3.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Keras" version))
(sha256
(base32
"1k68xd8n2y9ldijggjc8nn4d6d1axw0p98gfb0fmm8h641vl679j"))
(modules '((guix build utils)))
(snippet
'(substitute* '("keras/callbacks/callbacks.py"
"keras/engine/training_utils.py"
"keras/engine/training.py"
"keras/engine/training_generator.py"
"keras/utils/generic_utils.py")
(("from collections import Iterable")
"from collections.abc import Iterable")
(("collections.Container")
"collections.abc.Container")
(("collections.Mapping")
"collections.abc.Mapping")
(("collections.Sequence")
"collections.abc.Sequence")))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(add-after 'unpack 'tf-compatibility
(lambda _
(substitute* "keras/backend/tensorflow_backend.py"
(("^get_graph = .*")
"get_graph = tf.get_default_graph")
(("tf.compat.v1.nn.fused_batch_norm")
"tf.nn.fused_batch_norm")
;; categorical_crossentropy does not support axis
(("from_logits=from_logits, axis=axis")
"from_logits=from_logits")
;; dropout accepts a level number, not a named rate argument.
(("dropout\\(x, rate=level,")
"dropout(x, level,")
(("return x.shape.rank")
"return len(x.shape)"))))
(add-after 'unpack 'hdf5-compatibility
(lambda _
;; The truth value of an array with more than one element is ambiguous.
(substitute* "tests/keras/utils/io_utils_test.py"
((" *assert .* == \\[b'(asd|efg).*") ""))
(substitute* "tests/test_model_saving.py"
(("h5py.File\\('does not matter',")
"h5py.File('does not matter', 'w',"))
(substitute* "keras/utils/io_utils.py"
(("h5py.File\\('in-memory-h5py', driver='core', backing_store=False\\)")
"h5py.File('in-memory-h5py', 'w', driver='core', backing_store=False)")
(("h5file.fid.get_file_image")
"h5file.id.get_file_image"))
(substitute* "keras/engine/saving.py"
(("\\.decode\\('utf-?8'\\)") ""))))
(add-after 'unpack 'delete-unavailable-backends
(lambda _
(delete-file "keras/backend/theano_backend.py")
(delete-file "keras/backend/cntk_backend.py")))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
;; These tests attempt to download data files from the internet.
(delete-file "tests/integration_tests/test_datasets.py")
(delete-file "tests/integration_tests/imagenet_utils_test.py")
(invoke "python" "-m" "pytest" "tests"
"-p" "no:pep8"
;; FIXME: python-build-system lacks PARALLEL-TESTS?
"-n" (number->string (parallel-job-count))
;; This one uses the theano backend that we don't have.
"--ignore=tests/test_api.py"
"--ignore=tests/keras/backend/backend_test.py"
;; Our Tensorflow version does not have the coder ops library.
"--ignore=tests/keras/callbacks/callbacks_test.py"
;; ...nor do we have tensorboard
"--ignore=tests/keras/callbacks/tensorboard_test.py"
"-k"
(string-append
;; See https://github.com/keras-team/keras/pull/7033
"not test_TimeDistributed_learning_phase "
;; XXX fails because no closure is provided
"and not test_func_dump_and_load_backwards_compat "
;; XXX real bug? These are all tests that fail due to
;; shape mismatch, e.g. "got logits shape [12,3] and
;; labels shape [9]"
"and not test_model_with_crossentropy_losses_channels_first "
"and not test_masking_correctness_output_size_not_equal_to_first_state_size "
"and not test_convolutional_recurrent "
"and not test_axis "
;; XXX fails because of 3/15 values have unexpected differences.
"and not test_masking_correctness_output_not_equal_to_first_state "
;; XXX fails because of a difference of about 0.1
"and not test_sample_weighted "
;; XXX fails because of a difference of about 0.3
"and not test_scalar_weighted "
;; XXX fails because of a difference of about 0.2
"and not test_unweighted "
;; XXX I cannot reproduce this in an interactive
;; Python session, because l2_norm works just fine.
"and not test_weighted " ;TestCosineSimilarity
"and not test_config " ;TestCosineSimilarity
;; The following test fails only in the build
;; container; skip it.
"and not test_selu "
;; The following test was found flaky and removed in
;; recent versions.
"and not test_stateful_metrics"))))))))
(propagated-inputs
(list python-h5py
python-keras-applications
python-keras-preprocessing
python-numpy
python-pydot
python-pyyaml
python-scipy
python-six
tensorflow
graphviz))
(native-inputs
(list python-flaky
python-markdown
python-pandas
python-pytest
python-pytest-cov
python-pytest-pep8
python-pytest-timeout
python-pytest-xdist
python-pyux
python-sphinx
python-requests))
(home-page "https://github.com/keras-team/keras")
(synopsis "High-level deep learning framework")
(description "Keras is a high-level neural networks API, written in Python
and capable of running on top of TensorFlow. It was developed with a focus on
enabling fast experimentation. Use Keras if you need a deep learning library
that:
@itemize
@item Allows for easy and fast prototyping (through user friendliness,
modularity, and extensibility).
@item Supports both convolutional networks and recurrent networks, as well as
combinations of the two.
@item Runs seamlessly on CPU and GPU.
@end itemize\n")
(license license:expat)))
(define-public gloo
(let ((version "0.0.0") ; no proper version tag
(commit "c22a5cfba94edf8ea4f53a174d38aa0c629d070f")
(revision "1"))
(package
(name "gloo")
(version (git-version version revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/facebookincubator/gloo")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"1crmqgybzkgkpbmcx16912gsl5qsj49swa0ikx6mhqgph0chrh11"))))
(build-system cmake-build-system)
(native-inputs
(list googletest))
(inputs
(append (list openssl-1.1)
(if (supported-package? rdma-core)
(list rdma-core)
'())))
(arguments
(list #:configure-flags #~'("-DBUILD_SHARED_LIBS=ON"
"-DBUILD_TEST=1"
#$@(if (this-package-input "rdma-core")
#~("-DUSE_IBVERBS=ON")
#~()))
#:phases
#~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "make" "gloo_test")))))))
(synopsis "Collective communications library")
(description
"Gloo is a collective communications library. It comes with a
number of collective algorithms useful for machine learning applications.
These include a barrier, broadcast, and allreduce.")
(home-page "https://github.com/facebookincubator/gloo")
(license license:bsd-3))))
(define-public python-tensorly
(package
(name "python-tensorly")
(version "0.8.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/tensorly/tensorly")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"184mvs1gwycsh2f8jgdyc3jyhiylbn4xw2srpjd264dz2l9ms2l7"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list
;; These tests fail due to missing example, documentation, or tutorial files.
"--ignore=doc/sphinx_ext/sphinx_gallery/tests/test_gen_rst.py"
;; XXX There is no "get_marker" method.
"--ignore=doc/sphinx_ext/sphinx_gallery/tests/test_gen_gallery.py"
"-k"
(string-append
;; tutorials/plot_parse.py is not included
"not test_jupyter_notebook"
;; nor is examples/plot_quantum.py
" and not test_file_is_generated"))))
(propagated-inputs (list python-jsmin python-numpy python-scipy))
(native-inputs (list python-pytest python-pytest-cov python-sphinx))
(home-page "https://github.com/tensorly/tensorly")
(synopsis "Tensor learning in Python")
(description
"This is a Python library that aims at making tensor learning simple and
accessible. It allows performing tensor decomposition, tensor learning and
tensor algebra easily. Its backend system allows seamlessly perform
computation with NumPy, PyTorch, JAX, MXNet, TensorFlow or CuPy and run
methodxs at scale on CPU or GPU.")
(license license:bsd-3)))
(define-public python-umap-learn
(package
(name "python-umap-learn")
(version "0.5.5")
(source
(origin
(method git-fetch) ;no tests in pypi release
(uri (git-reference
(url "https://github.com/lmcinnes/umap")
(commit (string-append "release-" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0ijyiaqycynwj1383cxp519c765gjbg1f6fjwbvqj1gims710w3d"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
;; Numba needs a writable dir to cache functions.
(add-before 'check 'set-numba-cache-dir
(lambda _
(setenv "NUMBA_CACHE_DIR" "/tmp"))))))
(native-inputs (list python-pytest))
(propagated-inputs
(list python-numba
python-numpy
python-pynndescent
python-scikit-learn
python-scipy
python-tqdm))
(home-page "https://github.com/lmcinnes/umap")
(synopsis "Uniform Manifold Approximation and Projection")
(description "Uniform Manifold Approximation and Projection is a dimension
reduction technique that can be used for visualization similarly to t-SNE, but
also for general non-linear dimension reduction.")
(license license:bsd-3)))
(define-public nnpack
(let ((version "0.0")
(commit "c07e3a0400713d546e0dea2d5466dd22ea389c73")
(revision "1"))
(package
(name "nnpack")
(version (git-version version revision commit))
(home-page "https://github.com/Maratyszcza/NNPACK")
(source (origin
(method git-fetch)
(uri (git-reference (url home-page) (commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0s0kk3a35w3yzf0q447p72350sbsh4qhg6vm3y2djbj4xpg7jc8v"))
(patches (search-patches "nnpack-system-libraries.patch"))))
(build-system cmake-build-system)
;; XXX: The test suite runs but it's very expensive, and on x86_64 CPUs
;; that lack the right ISA extensions, tests fail with:
;;
;; Expected equality of these values:
;; nnp_status_success
;; Which is: 0
;; status
;; Which is: 51
;;
;; where 51 is 'nnp_status_unsupported_hardware'.
(arguments '(#:tests? #f))
(synopsis "Acceleration package for neural network computations")
(description
"NNPACK is an acceleration package for neural network computations.
NNPACK aims to provide high-performance implementations of convnet layers for
multi-core CPUs.
NNPACK is not intended to be directly used by machine learning researchers;
instead it provides low-level performance primitives leveraged in leading deep
learning frameworks, such as PyTorch, Caffe2, MXNet, tiny-dnn, Caffe, Torch,
and Darknet.")
(inputs
(list cpuinfo
fp16
fxdiv
psimd
pthreadpool
googletest))
(native-inputs
(list python python-peachpy python-six))
(license license:bsd-2))))
(define-public xnnpack
;; There's currently no tag on this repo.
(let ((version "0.0")
(commit "ae108ef49aa5623b896fc93d4298c49d1750d9ba")
(revision "2"))
(package
(name "xnnpack")
(version (git-version version revision commit))
(home-page "https://github.com/google/XNNPACK") ;fork of QNNPACK
(source (origin
(method git-fetch)
(uri (git-reference (url home-page) (commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0q68q2jxiiiblx45q4337k13ppgh5vqjwrwznchcnpb8hawjj3zl"))
(patches (search-patches "xnnpack-system-libraries.patch"))))
(build-system cmake-build-system)
(arguments
'(#:configure-flags '("-DXNNPACK_USE_SYSTEM_LIBS=YES"
"-DBUILD_SHARED_LIBS=ON"
"-DXNNPACK_LIBRARY_TYPE=shared"
"-DXNNPACK_BUILD_TESTS=FALSE" ;FIXME: see below
"-DXNNPACK_BUILD_BENCHMARKS=FALSE")
;; FIXME: Building tests leads to a CMake error:
;;
;; ADD_LIBRARY cannot create target "all_microkernels" because
;; another target with the same name already exists.
#:tests? #f))
(inputs
(list cpuinfo
pthreadpool
googletest
googlebenchmark
fxdiv
fp16
psimd))
(synopsis "Optimized floating-point neural network inference operators")
(description
"XNNPACK is a highly optimized library of floating-point neural network
inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not
intended for direct use by deep learning practitioners and researchers;
instead it provides low-level performance primitives for accelerating
high-level machine learning frameworks, such as TensorFlow Lite,
TensorFlow.js, PyTorch, and MediaPipe.")
(license license:bsd-3))))
(define-public xnnpack-for-torch2
;; There's currently no tag on this repo.
(let ((version "0.0")
(commit "51a987591a6fc9f0fc0707077f53d763ac132cbf")
(revision "3"))
(package
(inherit xnnpack)
(name "xnnpack")
(version (git-version version revision commit))
(home-page "https://github.com/google/XNNPACK") ;fork of QNNPACK
(source (origin
(method git-fetch)
(uri (git-reference (url home-page) (commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"1rzby82xq8d0rl1d148yz88jh9cpsw5c8b2yw7yg39mi7qmr55rm"))
(patches (search-patches "xnnpack-for-torch2-system-libraries.patch"))))
(arguments
(list
#:tests? #false
#:configure-flags '(list "-DXNNPACK_USE_SYSTEM_LIBS=YES"
"-DBUILD_SHARED_LIBS=ON"
"-DCMAKE_POSITION_INDEPENDENT_CODE=ON"
"-DXNNPACK_LIBRARY_TYPE=shared"
"-DXNNPACK_BUILD_TESTS=FALSE" ;FIXME: see below
"-DXNNPACK_BUILD_BENCHMARKS=FALSE"))))))
;; Please also update python-torchvision when updating this package.
(define-public python-pytorch
(package
(name "python-pytorch")
(version "1.13.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/pytorch")
(commit (string-append "v" version))
(recursive? #t)))
(file-name (git-file-name name version))
(sha256
(base32
"17yxjzwp4zp75fz7czgz9acijzw7dpyqcza50v8y1x7hfg2gw369"))
(patches (search-patches "python-pytorch-system-libraries.patch"
"python-pytorch-runpath.patch"))
(modules '((guix build utils)))
(snippet
'(begin
;; XXX: Let's be clear: this package is a bundling fest. We
;; delete as much as we can, but there's still a lot left.
(for-each (lambda (directory)
(delete-file-recursively
(string-append "third_party/" directory)))
'("benchmark" "cpuinfo" "eigen"
;; FIXME: QNNPACK (of which XNNPACK is a fork)
;; needs these.
;; "FP16" "FXdiv" "gemmlowp" "psimd"
"gloo" "googletest" "ios-cmake" "NNPACK"
"onnx" "protobuf" "pthreadpool"
"pybind11" "python-enum" "python-peachpy"
"python-six" "tbb" "XNNPACK" "zstd"))
(substitute* "functorch/CMakeLists.txt"
(("\\$\\{_rpath_portable_origin\\}/../torch/lib")
"$ORIGIN/../torch/lib"))))))
(build-system python-build-system)
(arguments
'(#:phases (modify-phases %standard-phases
(add-before 'build 'use-system-libraries
(lambda* (#:key outputs #:allow-other-keys)
;; Tell 'setup.py' to let 'CMakeLists.txt' know that we
;; want to use "system libraries" instead of the bundled
;; ones.
(setenv "USE_SYSTEM_LIBS" "1")
(substitute* "cmake/Dependencies.cmake"
(("if\\(USE_SYSTEM_BIND11\\)")
"if(TRUE)"))
;; XXX: Disable that for simplicity for now.
(setenv "USE_FBGEMM" "0")))
(add-before 'build 'make-things-writable
(lambda _
;; The 'build_caffe2' function in
;; 'tools/build_pytorch_libs.py', called from the
;; top-level 'setup.py', needs write access to this
;; directory.
(for-each make-file-writable
(find-files "caffe2/proto" "."
#:directories? #t))))
(replace 'check
(lambda* (#:key inputs outputs tests? #:allow-other-keys)
;; Run the test suite following the instructions in
;; 'CONTRIBUTING.md'. XXX: Unfortunately this doesn't
;; work, unless you set GUIX_PYTHONPATH presumably.
(when tests?
(add-installed-pythonpath inputs outputs)
(invoke "python" "test/run_test.py"))))
(add-after 'install 'remove-test-executables
(lambda* (#:key inputs outputs #:allow-other-keys)
;; Remove test executables, but keep other executables
;; such as 'torch_shm_manager' and and .so files such as
;; 'libtorch_global_deps.so'.
(let ((python-site (site-packages inputs outputs)))
(for-each delete-file
(find-files python-site
"(^test_cpp_rpc|_test)$")))))
(add-after 'install 'remove-caffe2-onnx-scripts
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out"))
(bin (string-append out "/bin")))
;; Remove 'convert-caffe2-to-onnx' and
;; 'convert-onnx-to-caffe2': they seem to be
;; deprecated and they cause a failure of the
;; 'sanity-check' phase:
;;
;; ImportError: cannot import name 'metanet_pb2' from partially initialized module 'caffe2.proto' (most likely due to a circular import)
(for-each delete-file
(find-files bin "^convert-.*caffe2"))
(substitute* (find-files out "^entry_points\\.txt$")
(("^convert-.*" all)
(string-append "# " all "\n")))))))
;; XXX: Tests attempt to download data such as
;; <https://raw.githubusercontent.com/pytorch/test-infra/master/stats/slow-tests.json>.
;; We're also missing some Python modules, such as expecttest.
#:tests? #f))
(native-inputs
(list cmake ninja))
(inputs
(list eigen
;; ("fmt" ,fmt)
fp16
gemmlowp
googletest
googlebenchmark
gloo
nnpack
openblas
openmpi
pthreadpool
protobuf
pybind11
sleef
xnnpack
zstd))
(propagated-inputs
(list python-astunparse
python-click
python-numpy
python-pyyaml
python-cffi
python-typing-extensions
python-future
python-six
python-requests
onnx ;propagated for its Python modules
onnx-optimizer
cpuinfo))
(home-page "https://pytorch.org/")
(synopsis "Python library for tensor computation and deep neural networks")
(description
"PyTorch is a Python package that provides two high-level features:
@itemize
@item tensor computation (like NumPy) with strong GPU acceleration;
@item deep neural networks (DNNs) built on a tape-based autograd system.
@end itemize
You can reuse Python packages such as NumPy, SciPy, and Cython to extend
PyTorch when needed.
Note: currently this package does not provide GPU support.")
(license license:bsd-3)))
(define-public python-pytorch2
(package
(inherit python-pytorch)
(name "python-pytorch")
(version "2.2.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/pytorch")
(commit (string-append "v" version))
(recursive? #t)))
(file-name (git-file-name name version))
(sha256
(base32
"0hdr0d6n072qd0nq2dkxhc9pva6vggj9hpzc0glpc60vfgk0cgzb"))
(patches (search-patches "python-pytorch2-system-libraries.patch"
"python-pytorch-runpath.patch"))
(modules '((guix build utils)))
(snippet
'(begin
;; XXX: Let's be clear: this package is a bundling fest. We
;; delete as much as we can, but there's still a lot left.
(for-each (lambda (directory)
(delete-file-recursively
(string-append "third_party/" directory)))
'("benchmark" "cpuinfo" "eigen"
;; FIXME: QNNPACK (of which XNNPACK is a fork)
;; needs these.
;; "FP16" "FXdiv" "gemmlowp" "psimd"
"gloo" "googletest" "ios-cmake" "NNPACK"
"onnx" "protobuf" "pthreadpool"
"pybind11" "python-peachpy"
"tbb" "XNNPACK" "zstd"))
(substitute* "caffe2/CMakeLists.txt"
(("target_link_libraries\\(\\$\\{test_name\\}_\\$\\{CPU_CAPABILITY\\} c10 sleef gtest_main\\)")
"target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 sleef gtest gtest_main)"))
(substitute* "functorch/CMakeLists.txt"
(("\\$\\{_rpath_portable_origin\\}/../torch/lib")
"$ORIGIN/../torch/lib"))))))
(inputs
(modify-inputs (package-inputs python-pytorch)
(replace "xnnpack" xnnpack-for-torch2)))
(propagated-inputs
(modify-inputs (package-propagated-inputs python-pytorch)
(append python-filelock
python-fsspec
python-jinja2
python-networkx
python-opt-einsum
python-sympy)
(replace "onnx" onnx-for-torch2)
(replace "onnx-optimizer" onnx-optimizer-for-torch2)))))
(define-public python-pytorch-for-r-torch
(package
(inherit python-pytorch)
(name "python-pytorch")
(version "2.0.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/pytorch")
(commit (string-append "v" version))
(recursive? #t)))
(file-name (git-file-name name version))
(sha256
(base32
"14m7v54zyd2qg2xk9mqdpbf4ps7091mdzinzh4vq9p5k4bpznj65"))
(patches (search-patches "python-pytorch2-system-libraries.patch"
"python-pytorch-runpath.patch"))
(modules '((guix build utils)))
(snippet
'(begin
;; XXX: Let's be clear: this package is a bundling fest. We
;; delete as much as we can, but there's still a lot left.
(for-each (lambda (directory)
(delete-file-recursively
(string-append "third_party/" directory)))
'("benchmark" "cpuinfo" "eigen"
;; FIXME: QNNPACK (of which XNNPACK is a fork)
;; needs these.
;; "FP16" "FXdiv" "gemmlowp" "psimd"
"gloo" "googletest" "ios-cmake" "NNPACK"
"onnx" "protobuf" "pthreadpool"
"pybind11" "python-enum" "python-peachpy"
"python-six" "tbb" "XNNPACK" "zstd"))
(substitute* "caffe2/CMakeLists.txt"
(("target_link_libraries\\(\\$\\{test_name\\}_\\$\\{CPU_CAPABILITY\\} c10 sleef gtest_main\\)")
"target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 sleef gtest gtest_main)"))
(substitute* "functorch/CMakeLists.txt"
(("\\$\\{_rpath_portable_origin\\}/../torch/lib")
"$ORIGIN/../torch/lib"))))))
(inputs
(modify-inputs (package-inputs python-pytorch)
(replace "xnnpack" xnnpack-for-torch2)))
(propagated-inputs
(modify-inputs (package-propagated-inputs python-pytorch)
(append python-filelock
python-jinja2
python-networkx
python-opt-einsum
python-sympy)
(replace "onnx" onnx-for-torch2)
(replace "onnx-optimizer" onnx-optimizer-for-torch2)))))
(define-public python-pytorch-geometric
(package
(name "python-pytorch-geometric")
(version "2.4.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pyg-team/pytorch_geometric/")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"0hrs579asjsph16hyb4ablkbgfwd5j9y5s6ny7ahn3qrbkl2ji1g"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; Hangs with AttributeError: 'NoneType' object has no attribute 'rpc_async'
'(list "--ignore=test/distributed/test_rpc.py"
;; A message passing jinja template is missing
"--ignore=test/nn/conv/test_message_passing.py"
"--ignore=test/nn/test_sequential.py"
"--ignore=test/nn/models/test_basic_gnn.py"
;; These all fail with a size mismatch error such as
;; RuntimeError: shape '[-1, 2, 1, 1]' is invalid for input of size 3
"--ignore=test/explain/algorithm/test_captum_explainer.py"
"-k" (string-append
;; Permissions error
"not test_packaging"
;; This can fail due to accuracy problems
" and not test_gdc"
;; These refuse to be run on CPU and really want a GPU
" and not test_add_random_walk_pe"
" and not test_asap"
" and not test_two_hop"))
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'delete-top-level-directories
(lambda _
;; The presence of these directories confuses the pyproject build
;; system.
(for-each delete-file-recursively
'("conda" "docker" "graphgym")))))))
(propagated-inputs
(list onnx
python-captum
python-graphviz
python-h5py
python-jinja2
python-matplotlib
python-networkx
python-numba
python-numpy
python-opt-einsum
python-pandas
python-protobuf
python-psutil
python-pyparsing
python-pytorch-lightning
python-rdflib
python-requests
python-scikit-image
python-scikit-learn
python-scipy
python-statsmodels
python-sympy
python-tabulate
python-torchmetrics
python-tqdm))
(native-inputs
(list python-flit-core
python-pytest
python-pytest-cov))
(home-page "https://pyg.org")
(synopsis "Graph Neural Network library for PyTorch")
(description
"PyG is a library built upon PyTorch to easily write and train Graph
Neural Networks for a wide range of applications related to structured data.")
(license license:expat)))
(define-public python-lightning-cloud
(package
(name "python-lightning-cloud")
(version "0.5.34")
(source (origin
(method url-fetch)
(uri (pypi-uri "lightning_cloud" version))
(sha256
(base32
"0mqrhq3s23mn8n4i0q791pshn3dgplp0h9ny0pmmp798q0798dzs"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-click
python-fastapi-for-pytorch-lightning
python-multipart
python-pyjwt
python-requests
python-rich
python-six
python-urllib3
python-uvicorn
python-websocket-client))
(home-page "https://lightning.ai")
(synopsis "Lightning Cloud command line client")
(description "This package provides a command line interface for Lightning
AI services.")
(license license:asl2.0)))
(define-public python-lightning-utilities
(package
(name "python-lightning-utilities")
(version "0.8.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "lightning-utilities" version))
(sha256
(base32
"084pn8fizxrcn1699jb8x2jsg4wcx01l65bwxpgnq0kzqp3rapcf"))))
(build-system python-build-system)
(propagated-inputs (list python-importlib-metadata python-packaging
python-typing-extensions))
(native-inputs (list python-coverage))
(home-page "https://github.com/Lightning-AI/utilities")
(synopsis "PyTorch Lightning sample project")
(description "This package provides common Python utilities and GitHub
Actions for the Lightning suite of libraries.")
(license license:asl2.0)))
(define-public python-captum
(package
(name "python-captum")
(version "0.7.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/captum")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0bgfwnlsi50hbmknn7qljiy93fi6ggwz3k7yk9kj7s37mhzaylym"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-k"
;; These two tests (out of more than 1000 tests) fail because of
;; accuracy problems.
"not test_softmax_classification_batch_multi_target\
and not test_softmax_classification_batch_zero_baseline")))
(propagated-inputs
(list python-matplotlib python-numpy python-pytorch python-tqdm))
(native-inputs (list jupyter
python-annoy
python-black
python-flake8
python-flask
python-flask-compress
python-ipython
python-ipywidgets
python-mypy
python-parameterized
python-pytest
python-pytest-cov
python-scikit-learn))
(home-page "https://captum.ai")
(synopsis "Model interpretability for PyTorch")
(description "Captum is a model interpretability and understanding library
for PyTorch. Captum contains general purpose implementations of integrated
gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models.
It has quick integration for models built with domain-specific libraries such
as torchvision, torchtext, and others.")
(license license:bsd-3)))
(define-public python-readchar
(package
(name "python-readchar")
(version "4.0.5")
(source (origin
(method url-fetch)
(uri (pypi-uri "readchar" version))
(sha256
(base32
"09n8vl2jjbnbnrzfvkynijrnwrqvc91bb2267zg8r261sz15d908"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
'(modify-phases %standard-phases
;; This one file requires the msvcrt module, which we don't have.
(add-after 'unpack 'delete-windows-file
(lambda _
(delete-file "readchar/_win_read.py"))))))
(propagated-inputs (list python-setuptools))
(home-page "https://github.com/magmax/python-readchar")
(synopsis "Library to easily read single chars and key strokes")
(description "This package provides a Python library to easily read single
characters and key strokes.")
(license license:expat)))
(define-public python-inquirer
(package
(name "python-inquirer")
(version "3.1.3")
;; Pypi has no tests.
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/magmax/python-inquirer")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0kp6a0535n9ra5sk8bmb5qvhrv0fbn1zawydi0fkb7104jqcfrzc"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-blessed python-editor python-readchar))
(native-inputs
(list python-poetry-core python-pexpect python-pytest))
(home-page "https://github.com/magmax/python-inquirer")
(synopsis "Collection of common interactive command line user interfaces")
(description
"Inquirer should ease the process of asking end user questions, parsing,
validating answers, managing hierarchical prompts and providing error
feedback.")
(license license:expat)))
(define-public python-pytorch-lightning
(package
(name "python-pytorch-lightning")
(version "2.0.2")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/Lightning-AI/lightning")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"1w4lajiql4y5nnhqf6i5wii1mrwnhp5f4bzbwdzb5zz0d0lysb1i"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-m" "not cloud and not tpu" "tests/tests_pytorch"
;; we don't have onnxruntime
"--ignore=tests/tests_pytorch/models/test_onnx.py"
;; We don't have tensorboard, so we skip all those tests that
;; require it for logging.
"--ignore=tests/tests_pytorch/checkpointing/test_model_checkpoint.py"
"--ignore=tests/tests_pytorch/loggers/test_all.py"
"--ignore=tests/tests_pytorch/loggers/test_logger.py"
"--ignore=tests/tests_pytorch/loggers/test_tensorboard.py"
"--ignore=tests/tests_pytorch/models/test_cpu.py"
"--ignore=tests/tests_pytorch/models/test_hparams.py"
"--ignore=tests/tests_pytorch/models/test_restore.py"
"--ignore=tests/tests_pytorch/profilers/test_profiler.py"
"--ignore=tests/tests_pytorch/trainer/flags/test_fast_dev_run.py"
"--ignore=tests/tests_pytorch/trainer/logging_/test_eval_loop_logging.py"
"--ignore=tests/tests_pytorch/trainer/logging_/test_train_loop_logging.py"
"--ignore=tests/tests_pytorch/trainer/properties/test_loggers.py"
"--ignore=tests/tests_pytorch/trainer/properties/test_log_dir.py"
"--ignore=tests/tests_pytorch/trainer/test_trainer.py"
;; This needs internet access
"--ignore=tests/tests_pytorch/helpers/test_models.py"
"--ignore=tests/tests_pytorch/helpers/test_datasets.py"
"--ignore=tests/tests_pytorch/helpers/datasets.py"
;; We have no legacy checkpoints
"--ignore=tests/tests_pytorch/checkpointing/test_legacy_checkpoints.py"
;; TypeError: _FlakyPlugin._make_test_flaky() got an unexpected keyword argument 'reruns'
"--ignore=tests/tests_pytorch/models/test_amp.py"
"--ignore=tests/tests_pytorch/profilers/test_profiler.py"
"--ignore=tests/tests_pytorch/graveyard/test_legacy_import_unpickler.py"
"-k"
(string-append
;; We don't have tensorboard
"not test_property_logger"
" and not test_cli_logger_shorthand"
;; Something wrong with Flaky
" and not test_servable_module_validator_with_trainer"))
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'patch-version-detection
(lambda _
;; We do have pytorch 1.13.1, but the version comparison fails.
(substitute* "src/lightning/fabric/utilities/imports.py"
(("_TORCH_GREATER_EQUAL_1_13 =.*")
"_TORCH_GREATER_EQUAL_1_13 = True\n"))))
(add-before 'build 'pre-build
(lambda _ (setenv "PACKAGE_NAME" "lightning")))
(add-after 'install 'pre-build-pytorch
(lambda _
;; pyproject-build-system only tolerates unicycles.
(for-each delete-file (find-files "dist" "\\.whl"))
(setenv "PACKAGE_NAME" "pytorch")))
(add-after 'pre-build-pytorch 'build-pytorch
(assoc-ref %standard-phases 'build))
(add-after 'build-pytorch 'install-pytorch
(assoc-ref %standard-phases 'install))
(add-before 'check 'pre-check
(lambda _
;; We don't have Tensorboard
(substitute* "tests/tests_pytorch/test_cli.py"
((" TensorBoardLogger\\(\".\"\\)") "")))))))
(propagated-inputs
(list python-arrow
python-beautifulsoup4
python-croniter
python-dateutils
python-deepdiff
python-fastapi-for-pytorch-lightning
python-fsspec
python-inquirer
python-jsonargparse
python-lightning-cloud
python-lightning-utilities
python-numpy
python-packaging
python-pytorch
python-pyyaml
python-starsessions-for-pytorch-lightning
python-torchmetrics
python-torchvision
python-tqdm
python-traitlets
python-typing-extensions))
(native-inputs
(list python-aiohttp
python-cloudpickle
python-coverage
python-flaky
python-pympler
python-pytest
python-psutil
python-requests-mock
python-scikit-learn))
(home-page "https://lightning.ai/")
(synopsis "Deep learning framework to train, deploy, and ship AI products")
(description
"PyTorch Lightning is just organized PyTorch; Lightning disentangles
PyTorch code to decouple the science from the engineering.")
(license license:asl2.0)))
(define-public python-torchmetrics
(package
(name "python-torchmetrics")
(version "0.11.4")
(source (origin
(method url-fetch)
(uri (pypi-uri "torchmetrics" version))
(sha256
(base32
"150lcy6c20n42rwxl4d3m1b8s4js9ddds5wh3685vmjdnha5mr0z"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-numpy python-packaging python-pytorch
python-typing-extensions))
(native-inputs
(list python-cloudpickle
python-coverage
python-fire
python-mir-eval
python-mypy
python-pandas
python-psutil
python-pytest
python-pytest-cov
python-pytest-doctestplus
python-pytest-rerunfailures
python-pytest-timeout
python-requests
python-scikit-image
python-scikit-learn
python-scipy
python-types-protobuf
python-types-setuptools))
(home-page "https://github.com/Lightning-AI/metrics")
(synopsis "Machine learning metrics for PyTorch applications")
(description "TorchMetrics is a collection of 100+ PyTorch metrics
implementations and an easy-to-use API to create custom metrics. It offers:
@itemize
@item A standardized interface to increase reproducibility
@item Reduces boilerplate
@item Automatic accumulation over batches
@item Metrics optimized for distributed-training
@item Automatic synchronization between multiple devices
@end itemize
")
(license license:asl2.0)))
;; Keep this in sync with python-pytorch
(define-public python-torchvision
(package
(name "python-torchvision")
(version "0.15.2")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/vision")
(commit (string-append "v" version))
(recursive? #t)))
(file-name (git-file-name name version))
(sha256
(base32
"1cq2s13vkgg9rljjbrm4g33yxq7q5zqp7f4xm5cq624gvs0wxmi8"))))
(build-system pyproject-build-system)
(arguments
(list #:tests? #false)) ;the test suite is expensive and there is no easy
;way to subset it.
(inputs
(list libpng
libjpeg-turbo))
(propagated-inputs
(list python-numpy
python-typing-extensions
python-requests
python-pillow
python-pillow-simd
python-pytorch))
(native-inputs
(list which python-pytest))
(home-page "https://pytorch.org/vision/stable/index.html")
(synopsis "Datasets, transforms and models specific to computer vision")
(description
"The torchvision package consists of popular datasets, model architectures,
and common image transformations for computer vision.")
(license license:bsd-3)))
(define-public python-torchfile
(package
(name "python-torchfile")
(version "0.1.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "torchfile" version))
(sha256
(base32
"0vhklj6krl9r0kdynb4kcpwp8y1ihl2zw96byallay3k9c9zwgd5"))))
(build-system python-build-system)
(arguments '(#:tests? #false)) ;there are no tests
(propagated-inputs
(list python-numpy))
(home-page "https://github.com/bshillingford/python-torchfile")
(synopsis "Torch7 binary serialized file parser")
(description "This package enables you to deserialize Lua torch-serialized objects from
Python.")
(license license:bsd-3)))
(define-public python-hmmlearn
(package
(name "python-hmmlearn")
(version "0.2.8")
(source
(origin
(method url-fetch)
(uri (pypi-uri "hmmlearn" version))
(sha256
(base32
"1yd5l9ra37mks41mn5bigav7xpb161a9yqlcnz4ir076vkik2sb9"))))
(build-system python-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(with-directory-excursion (string-append #$output "/lib")
(invoke "python" "-m" "pytest"))))))))
(propagated-inputs
(list pybind11
python-numpy
python-scikit-learn
python-scipy
python-setuptools-scm))
(native-inputs
(list python-pytest))
(home-page "https://github.com/hmmlearn/hmmlearn")
(synopsis "Hidden Markov Models with scikit-learn like API")
(description
"Hmmlearn is a set of algorithms for unsupervised learning and inference
of Hidden Markov Models.")
(license license:bsd-3)))
;; Keep this in sync with the r-torch package.
(define-public liblantern
;; There has been no release or tagged commit for r-torch 0.12.0. The
;; selected commit corresponds to the 0.12.0 release.
(let ((commit "4d83bd087be581f7db321c27f55897ff021d2537")
(revision "1"))
(package
(name "liblantern")
(version (git-version "0.11.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/mlverse/torch")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "1xxc6vr7sr2mg0va0hc2fs4f6v5b78mx43dp2shzzbcgw90mgpvk"))))
(build-system cmake-build-system)
(arguments
(list
#:tests? #false ;no test target
#:phases
(let ((python-version (version-major+minor (package-version python))))
#~(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "src/lantern")))
(add-after 'chdir 'do-not-download-binaries
(lambda* (#:key inputs #:allow-other-keys)
(substitute* "CMakeLists.txt"
(("find_package\\(Torch.*") "set(TORCH_CXX_FLAGS \"-ltorch\")\n")
(("retrieve_lib\\(.*") ""))
(let ((site-packages (string-append "/lib/python"
#$python-version
"/site-packages")))
(setenv "LIBRARY_PATH"
(string-append
(search-input-directory
inputs (string-append site-packages "/torch/lib"))
":" (or (getenv "LIBRARY_PATH") "")))
(setenv "CPLUS_INCLUDE_PATH"
(string-append
(search-input-directory
inputs (string-append
site-packages "/torch/include/torch/csrc/api/include/"))
":"
(search-input-directory
inputs (string-append site-packages "/torch/include/"))
":"
(or (getenv "CPLUS_INCLUDE_PATH") "")))
(setenv "C_INCLUDE_PATH"
(string-append
(search-input-directory
inputs (string-append site-packages "/torch/include/"))
":"
(or (getenv "C_INCLUDE_PATH") ""))))))
(replace 'install
(lambda _
(install-file
"../build/liblantern.so"
(string-append #$output "/lib"))
(copy-recursively
"../lantern/include"
(string-append #$output "/include"))))))))
(inputs (list python-pytorch-for-r-torch))
(home-page "https://github.com/mlverse/torch/")
(synopsis "C API to libtorch")
(description
"Lantern provides a C API to the libtorch machine learning library.")
(license license:expat))))
(define-public python-lap
(package
(name "python-lap")
(version "0.4.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "lap" version))
(sha256
(base32
"0fqfxpq4jg9h4wxjw540gjmvfg1ccc1nssk7i9njg7qfdybxknn4"))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(replace 'build
(lambda* (#:key inputs #:allow-other-keys)
(invoke "python" "setup.py" "build"
"--cpu-baseline=sse2")))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
;; The tests must be run from elsewhere.
(mkdir-p "/tmp/test")
(copy-recursively "lap/tests" "/tmp/test")
(with-directory-excursion "/tmp/test"
(invoke "pytest" "-vv"))))))))
(propagated-inputs
(list python-numpy
python-scipy))
(native-inputs
(list python-cython python-pytest))
(home-page "https://github.com/gatagat/lap")
(synopsis "Linear Assignment Problem solver (LAPJV/LAPMOD)")
(description "Lap is a linear assignment problem solver using Jonker-Volgenant
algorithm for dense (LAPJV) or sparse (LAPMOD) matrices.")
(license license:bsd-2)))
(define-public python-visdom
(package
(name "python-visdom")
(version "0.1.8.9")
(source (origin
(method url-fetch)
(uri (pypi-uri "visdom" version))
(sha256
(base32
"09kiczx2i5asqsv214fz7sx8wlyldgbqvxwrd0alhjn24cvx4fn7"))))
(build-system python-build-system)
(propagated-inputs
(list python-jsonpatch
python-numpy
python-pillow
python-pyzmq
python-requests
python-scipy
python-six
python-torchfile
python-tornado
python-websocket-client))
(home-page "https://github.com/fossasia/visdom")
(synopsis "Visualizations of live, rich data for Torch and Numpy")
(description
"This package provides a tool for visualizing live, rich data for Torch
and Numpy.")
(license license:asl2.0)))
(define-public python-pyro-api
(package
(name "python-pyro-api")
(version "0.1.2")
(source (origin
(method url-fetch)
(uri (pypi-uri "pyro-api" version))
(sha256
(base32
"086r2h6x9i5d9ayl1x65lx6p84rlydzsn8xingxc588ab3ch1fd1"))))
(build-system python-build-system)
(arguments '(#:tests? #false)) ;requires pyro
(native-inputs
(list python-flake8
python-ipython
python-pytest
python-sphinx
python-sphinx-rtd-theme))
(home-page "https://github.com/pyro-ppl/pyro-api")
(synopsis "Generic API for dispatch to Pyro backends")
(description "This package provides a generic API for dispatch to Pyro backends.")
(license license:asl2.0)))
(define-public python-pyro-ppl
(package
(name "python-pyro-ppl")
(version "1.8.6")
;; The sources on pypi don't include tests.
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pyro-ppl/pyro")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32 "0n1vsih99pvswcaygdxkc6kq6r48ny130z6ca8pp3281396r2ykw"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-vv" "--stage=unit"
;; This tests features that are only implemented when non-free
;; software is available (Intel MKL or CUDA).
"--ignore=tests/distributions/test_spanning_tree.py"
"--ignore=tests/infer/mcmc/test_mcmc_api.py"
;; This test fails sometimes.
"--ignore=tests/optim/test_optim.py"
;; Four test_gamma_elbo tests fail with bad values for unknown
;; reasons.
"--ignore=tests/distributions/test_rejector.py"
;; This looks like a test system failure. All of these fail
;; because x is an array of functions, not an array of numbers.
"-k" "not test_sample")))
(propagated-inputs
(list python-numpy
python-opt-einsum
python-pyro-api
python-pytorch
python-tqdm))
(native-inputs
(list ninja
jupyter
python-black
python-flake8
python-graphviz
python-isort
python-lap
python-matplotlib
python-mypy
python-nbformat
python-nbsphinx
python-nbstripout
python-nbval
python-pandas
python-pillow
python-pypandoc
python-pytest
python-pytest-cov
python-pytest-xdist
python-scikit-learn
python-scipy
python-seaborn
python-sphinx
python-sphinx-rtd-theme
python-torchvision
python-visdom
python-wget
python-yapf))
(home-page "https://pyro.ai")
(synopsis "Python library for probabilistic modeling and inference")
(description
"This package provides a Python library for probabilistic modeling and
inference.")
(license license:asl2.0)))
(define-public python-linear-operator
(package
(name "python-linear-operator")
(version "0.5.2")
(source (origin
(method url-fetch)
(uri (pypi-uri "linear_operator" version))
(sha256
(base32
"03drb4hn9nn8jrqd9vbalihhahgpdm956hbs05bix7svradhknaw"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-jaxtyping
python-pytorch
python-scipy
python-typeguard))
(native-inputs (list python-flake8
python-flake8-print
python-pytest
python-setuptools-scm
python-twine))
(home-page "https://github.com/cornellius-gp/linear_operator/")
(synopsis "Linear operator implementation")
(description "LinearOperator is a PyTorch package for abstracting away the
linear algebra routines needed for structured matrices (or operators).")
(license license:expat)))
(define-public python-gpytorch
(package
(name "python-gpytorch")
(version "1.11")
(source (origin
(method url-fetch)
(uri (pypi-uri "gpytorch" version))
(sha256
(base32
"0q17bml53vixk3cwj3p893809927hz81fprwsmxpxqv5i4mvgyvj"))))
(build-system pyproject-build-system)
(arguments
(list #:test-flags
;; The error message in test_t_matmul_matrix suggests the error may
;; be due to a bug in gpytorch. test_deprecated_methods fails with
;; an AssertionError.
#~(list "-k" (string-append "not test_deprecated_methods"
" and not test_t_matmul_matrix"))))
(propagated-inputs (list python-linear-operator python-scikit-learn))
(native-inputs (list python-coverage
python-flake8
python-flake8-print
python-nbval
python-pytest
python-twine))
(home-page "https://gpytorch.ai")
(synopsis "Implementation of Gaussian Processes in PyTorch")
(description
"GPyTorch is a Gaussian process library implemented using PyTorch.")
(license license:expat)))
(define-public vosk-api
(let* ((openfst openfst-for-vosk)
(kaldi kaldi-for-vosk))
(package
(name "vosk-api")
(version "0.3.43")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/alphacep/vosk-api")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0xmp8i140c2hd3rj9dap8a2rnsvzb1k9hnqm12xzbaxrw73rkc29"))))
(build-system gnu-build-system)
(arguments
(list
#:tests? #f
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "src")))
(replace 'configure
(lambda _
(let* ((openfst #$(this-package-input "openfst"))
(openblas #$(this-package-input "openblas"))
(kaldi #$(this-package-input "kaldi")))
(substitute* "./Makefile"
(("USE_SHARED\\?=0")
"USE_SHARED?=1")
(("-DFST_NO_DYNAMIC_LINKING")
"")
(("-lopenblas -llapack -lblas -lf2c")
(string-append
"-L" openblas "/lib " "-lopenblas "))
(("-lfst -lfstngram")
(string-append
"-L" openfst "/lib " "-lfst -lfstngram "))
(("\\$\\(HOME\\)\\/travis\\/kaldi")
(string-append kaldi "/include"))
(("\\$\\(KALDI_ROOT\\)\\/tools\\/openfst")
openfst)
(("\\$\\(KALDI_ROOT\\)\\/tools\\/OpenBLAS\\/install")
openblas)
(("\\$\\(KALDI_ROOT\\)\\/libs")
(string-append kaldi "/lib"))))))
(replace 'install
(lambda _
(let* ((lib (string-append #$output "/lib"))
(src (string-append #$output "/src")))
(mkdir-p lib)
(mkdir-p src)
(install-file "libvosk.so" lib)
(for-each
(lambda (x) (install-file x src))
(find-files "." "\\.h$"))))))))
(inputs (list kaldi openfst openblas))
(home-page "https://alphacephei.com/vosk")
(synopsis "Speech recognition toolkit based on @code{kaldi}")
(description "\
This package provides a speech recognition toolkit based on @code{kaldi}. It
supports more than 20 languages and dialects - English, Indian English,
German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese,
Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh,
Swedish, Japanese, Esperanto, Hindi, Czech, Polish. The program works offline,
even on lightweight devices. Portable per-language models are about 50Mb each,
and there are much bigger and precise models available.
Vosk API provides a streaming API allowing to use it `on-the-fly' and bindings
for different programming languages. It allows quick reconfiguration of
vocabulary for better accuracy, and supports speaker identification beside
simple speech recognition.")
(license license:asl2.0))))
(define-public python-vosk
(package
(inherit vosk-api)
(name "python-vosk")
(build-system python-build-system)
(propagated-inputs
(list python-cffi python-requests python-tqdm python-srt python-websockets))
(inputs (list vosk-api))
(arguments
(list
#:tests? #f ;; TODO There are tests but not run through Makefile.
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'config
(lambda _
(chdir "python")
(setenv "VOSK_SOURCE" #$vosk-api)))
(add-before 'build 'from-abi-to-api
(lambda _
(substitute* "vosk_builder.py"
(("ffibuilder\\.set_source\\(\"vosk.vosk_cffi\", None\\)")
(string-append
"ffibuilder.set_source(\"vosk.vosk_cffi\", "
"r\"\"\"\n#include<vosk_api.h>\n#include<Python.h>\"\"\",\n\t"
"library_dirs=["
"'" #$vosk-api "/lib'"
"],\n\t"
"libraries=['vosk', 'python3.10'],\n\t"
"include_dirs=["
"'" #$vosk-api "/src'" "])")))
(substitute* "vosk/__init__.py"
(("_c = open_dll\\(\\)")
"")
(("_ffi")
"ffi")
(("from \\.vosk_cffi import ffi as ffi")
"from .vosk_cffi import ffi, lib")
(("_c\\.")
"lib.")))))))))
(define-public nerd-dictation
(let* ((commit "0eb44b7fd0927d69c92de5566e5807ed2c2e20b7")
(revision "1"))
(package
(name "nerd-dictation")
(version (git-version "0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/ideasman42/nerd-dictation")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "0frdpswv6w3cwj3c7wd5w8gj3s1hvpdwd48qhfhfxf7imahz9bqf"))))
(build-system python-build-system)
(arguments
'(#:phases
(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "package/python"))))))
(propagated-inputs (list python-vosk))
(home-page "https://github.com/ideasman42/nerd-dictation")
(synopsis "Offline speech-to-text for desktop Linux")
(description "\
This package provides simple access speech to text for using in
Linux without being tied to a desktop environment, using the @code{vosk-api}.
The user configuration lets you manipulate text using Python string
operations. It has zero overhead, as this relies on manual activation and
there are no background processes. Dictation is accessed manually with
@code{nerd-dictation begin} and @code{nerd-dictation end} commands.")
(license license:gpl2+))))
(define (nerd-dictation-gexp input-name output-name bash nerd-dictation)
(with-imported-modules '((guix build utils))
#~(begin
(use-modules (guix build utils))
(let* ((exe (string-append #$output "/bin/nerd-dictation"))
(nerd-dictation-exe
#$(file-append nerd-dictation "/bin/nerd-dictation")))
(mkdir-p (dirname exe))
(call-with-output-file exe
(lambda (port)
(format port "#!~a
if [ \"$1\" = begin ]
then
exec ~a $@ --input=~a --simulate-input-tool=~a
else
exec ~a $@
fi"
#$(file-append bash "/bin/bash")
nerd-dictation-exe
#$input-name
#$output-name
nerd-dictation-exe)))
(chmod exe #o555)))))
(define-public nerd-dictation/xdotool
(package
(inherit nerd-dictation)
(name "nerd-dictation-xdotool")
(build-system trivial-build-system)
(arguments
(list #:builder
(nerd-dictation-gexp "PAREC" "XDOTOOL"
(this-package-input "bash-minimal")
(this-package-input "nerd-dictation"))))
(inputs (list bash-minimal nerd-dictation))
(propagated-inputs (list pulseaudio xdotool))))
(define-public nerd-dictation/sox-xdotool
(package
(inherit nerd-dictation/xdotool)
(name "nerd-dictation-sox-xdotool")
(arguments
(list #:builder
(nerd-dictation-gexp "SOX" "XDOTOOL"
(this-package-input "bash-minimal")
(this-package-input "nerd-dictation"))))
(propagated-inputs (list sox xdotool))))
(define-public nerd-dictation/sox-ydotool
(package
(inherit nerd-dictation/xdotool)
(name "nerd-dictation-sox-ydotool")
(arguments
(list #:builder
(nerd-dictation-gexp "SOX" "YDOTOOL"
(this-package-input "bash-minimal")
(this-package-input "nerd-dictation"))))
(propagated-inputs (list sox ydotool))))
(define-public nerd-dictation/sox-wtype
(package
(inherit nerd-dictation/xdotool)
(name "nerd-dictation-sox-wtype")
(arguments
(list #:builder
(nerd-dictation-gexp "SOX" "WTYPE"
(this-package-input "bash-minimal")
(this-package-input "nerd-dictation"))))
(propagated-inputs (list sox wtype))))
(define-public python-brian2
(package
(name "python-brian2")
(version "2.5.1")
(source (origin
(method url-fetch)
(uri (pypi-uri "Brian2" version))
(sha256
(base32
"1g48hzn3cdsvfjgz64s3kvh5d5287ggjxdyacb7wh2n5nd5iqlf7"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(setenv "HOME" "/tmp")
;; Must be run in a different directory, otherwise compiled
;; modules are not found.
(with-directory-excursion "/tmp"
;; Invoking brian2.test() is preferred to running pytest.
(invoke "python" "-c"
"import brian2, sys; sys.exit(0 if brian2.test() else 1)"))))))))
(propagated-inputs (list python-cython ; Required by codegen.
python-jinja2
python-numpy
python-py-cpuinfo
python-pyparsing
;; Required by codegen.
python-setuptools
python-sympy))
(native-inputs (list python-pytest python-pytest-xdist))
(home-page "https://briansimulator.org/")
(synopsis "Clock-driven simulator for spiking neural networks")
(description
"Brian is a simulator for spiking neural networks written in Python. It
is therefore designed to be easy to learn and use, highly flexible and
easily extensible.")
(license license:cecill)))
(define-public python-brian2tools
(package
(name "python-brian2tools")
(version "0.3")
(source (origin
(method url-fetch)
(uri (pypi-uri "brian2tools" version))
(sha256
(base32
"0fn028mfy3qlzjkadd0wr5d7rcplijd5jphln414xifvvsb9jcc2"))))
(build-system python-build-system)
;; Both pypi tarball and git repo lack test files.
(arguments (list #:tests? #f))
(propagated-inputs (list python-brian2
python-libneuroml
python-markdown-strings
python-matplotlib
python-pylems
python-setuptools
python-setuptools-scm))
(native-inputs (list python-pytest))
(home-page "https://github.com/brian-team/brian2tools")
(synopsis "Tools for the Brian 2 simulator")
(description "Visualization and NeuroML import/export tools for the
Brian 2 simulator.")
(license license:cecill)))
(define-public oneapi-dnnl
(package
(name "oneapi-dnnl")
(version "3.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/oneapi-src/oneDNN")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1jgmb5kl0bf4a2zfn94zlb117672r9lvvkkmwl86ihlyr1mpr3d0"))))
(build-system cmake-build-system)
(arguments (if (target-riscv64?)
(list #:configure-flags #~'("-DDNNL_CPU_RUNTIME=SEQ"))
'()))
(home-page "https://github.com/oneapi-src/oneDNN")
(synopsis "Deep Neural Network Library")
(description
"OneAPI Deep Neural Network Library (oneDNN) is a cross-platform
performance library of basic building blocks for deep learning applications.")
(license license:asl2.0)))
(define-public python-gguf
(package
(name "python-gguf")
(version "0.6.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "gguf" version))
(sha256
(base32 "0rbyc2h3kpqnrvbyjvv8a69l577jv55a31l12jnw21m1lamjxqmj"))))
(build-system pyproject-build-system)
(arguments
(list #:tests? #false))
(inputs (list poetry python-pytest))
(propagated-inputs (list python-numpy))
(home-page "https://ggml.ai")
(synopsis "Read and write ML models in GGUF for GGML")
(description "A Python library for reading and writing GGUF & GGML format ML models.")
(license license:expat)))
(define-public python-gymnasium
(package
(name "python-gymnasium")
(version "0.29.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "gymnasium" version))
(sha256
(base32 "1cab4wsnlsxn2z90qmymv8ppmsq8yq2amiqwid3r0xfbxx92flqs"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-cloudpickle python-farama-notifications
python-importlib-metadata python-numpy
python-typing-extensions))
(native-inputs (list python-pytest python-scipy))
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'create-tests-module
(lambda _
(with-output-to-file "tests/__init__.py"
(lambda _ (display ""))))))))
(home-page "https://gymnasium.farama.org/")
(synopsis
"Standard API for reinforcement learning and a set of reference environments")
(description
"This package provides a standard API for reinforcement learning and a
diverse set of reference environments (formerly Gym).")
(license license:expat)))
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