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;;; GNU Guix --- Functional package management for GNU
;;; Copyright © 2025 Cayetano Santos <csantosb@inventati.org>
;;;
;;; 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 oneapi)
#:use-module (gnu packages)
#:use-module (gnu packages check)
#:use-module (gnu packages cpp)
#:use-module (gnu packages llvm)
#:use-module (gnu packages python)
#:use-module (gnu packages swig)
#:use-module (guix build-system cmake)
#:use-module (guix gexp)
#:use-module (guix git-download)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (guix packages)
#:use-module (guix utils))
;;; Updates and replaces oneapi-dnnl in (gnu packages machine-learning)
(define-public onednn
;; See doc/build/build.md.
(package
(name "onednn")
(version "3.9.2")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/uxlfoundation/oneDNN/")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0ybq8zb4dcd2g139gdq4bpv20v9jgws5d7ln3x4s0ydrmbgm2qwj"))
(modules '((guix build utils)
(ice-9 rdelim)))
;; Copyright date used by code generation script
(snippet
'(for-each
(lambda (file)
(with-atomic-file-replacement
file
(lambda (in out)
(let loop ((line (read-line in 'concat)))
(if (string-contains line "Copyright")
(display line out)
(loop (read-line in 'concat)))))))
'("include/oneapi/dnnl/dnnl_debug.h"
"src/common/dnnl_debug_autogenerated.cpp"
"tests/benchdnn/dnnl_debug_autogenerated.cpp"
"tests/benchdnn/dnnl_debug.hpp")))))
(build-system cmake-build-system)
(arguments
(list
#:configure-flags ;see doc/build/build_options.md
#~(list
#$@(if (target-riscv64?)
(list "-DDNNL_CPU_RUNTIME=SEQ")
;; Default; also tbb and sycl.
(list "-DDNNL_CPU_RUNTIME=OMP"))
"-DDNNL_EXPERIMENTAL_UKERNEL=ON" ;Used in PyTorch
"-DONEDNN_BUILD_GRAPH=OFF") ;See scripts/README.md
#:phases
#~(modify-phases %standard-phases
;; This test times out after 3600 seconds.
(add-after 'unpack 'disable-matmul-testing
(lambda _
(substitute* "tests/benchdnn/benchdnn.cpp"
(("matmul::bench.*") ";\n"))))
;; See scripts/README.md.
(add-after 'configure 'codegen
(lambda _
(with-directory-excursion "../source"
;; Generate types.xml.
(invoke "castxml" "--castxml-cc-gnu-c" "clang"
"--castxml-output=1" "-Iinclude" "-I../build/include"
"include/oneapi/dnnl/dnnl_types.h" "-o" "types.xml")
;; Run generate_dnnl_debug.py.
(invoke
"python3" "scripts/generate_dnnl_debug.py" "types.xml")
;; Generating format tags.
;; Modifies include/oneapi/dnnl/dnnl.hpp
(invoke "python3" "scripts/generate_format_tags.py")))))))
(native-inputs
(list castxml clang-17 googletest python-minimal-wrapper))
(home-page "https://uxlfoundation.github.io/oneDNN/")
(synopsis "Deep neural network library")
(description
"@acronym{OneDNN, OneAPI Deep Neural Network Library} is a cross-platform
performance library of basic building blocks for deep learning applications.")
(supported-systems %64bit-supported-systems)
(license license:asl2.0)))
;;; Updates and replaces tbb in (gnu packages tbb)
(define-public onetbb
(package
(name "onetbb")
(version "2022.2.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/uxlfoundation/oneTBB/")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"04hjgc0yg0kdwr5qssl4y7hqv4wgcrlmblvbiaxqlyxrd400y901"))
(patches (search-patches "onetbb-other-arches.patch"))))
(build-system cmake-build-system)
(arguments
(list
#:configure-flags
#~(list #$@(if (or (target-riscv64?)
(target-ppc32?))
'(list "-DTBB_TEST_LINK_FLAGS=-latomic")
'())
#$@(if (or (target-arm32?)
(target-ppc32?))
'("-DTBB_TEST_COMPILE_FLAGS=-DTBB_TEST_LOW_WORKLOAD")
'())
;; Don't fail on warnings.
"-DTBB_STRICT=OFF")
#:phases
#~(modify-phases %standard-phases
#$@(cond
((target-arm32?)
`((add-after 'unpack 'adjust-test-suite
(lambda _
(substitute* "test/CMakeLists.txt"
;; Bus error, skipped on mips.
((".*test_malloc_pools.*") ""))))))
((target-ppc32?)
`((add-after 'unpack 'adjust-test-suite
(lambda _
(substitute* "test/CMakeLists.txt"
;; These tests hang forever.
((".*test_function_node.*") "")
((".*test_multifunction_node.*") "")
((".*test_async_node.*") ""))))))
((target-riscv64?)
`((add-after 'unpack 'adjust-test-suite
(lambda _
(substitute* "test/CMakeLists.txt"
;; This tests hangs forever.
((".*test_task_group.*") ""))))))
(else '())))))
(home-page "https://uxlfoundation.github.io/oneTBB/")
(synopsis "C++ library for parallel programming")
(description
"@acronym{OneTBB, OneAPI Threading Building Blocks} is a C++ runtime
library that abstracts the low-level threading details necessary for optimal
multi-core performance. It uses common C++ templates and coding style to
eliminate tedious threading implementation work. It provides parallel loop
constructs, asynchronous tasks, synchronization primitives, atomic operations,
and more.")
(license license:asl2.0)))
(define-public python-onetbb
(package
(inherit onetbb)
(name "python-onetbb")
(arguments
(list
#:configure-flags
#~(list "-DTBB4PY_BUILD=ON")
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'patch-python-install-directory
(lambda _
(substitute* "python/setup.py"
(("extra_link_args=tbb_flag,")
(string-append
"extra_link_args=['-Wl,-rpath="
#$(this-package-input "onetbb") "/lib"
"', '-Wl,-rpath=" #$output "/lib'] + tbb_flag,")))))
(replace 'build
(lambda _
(setenv "PYTHONHASHSEED" "0")
(invoke "make" "python_build")))
;; The 'build phase already installs the modules
(replace 'install
(lambda _
(with-directory-excursion "python/rml"
(invoke "make" "install"))))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "ctest" "-R" "python_test" "--output-on-failure")))))))
(native-inputs (list swig python-minimal))
(inputs (list onetbb))
(synopsis "Python bindings for the oneTBB parallel library")
(description
"@acronym{OneTBB, OneAPI Threading Building Blocks} is a C++ runtime
library that abstracts the low-level threading details necessary for optimal
multi-core performance. It uses common C++ templates and coding style to
eliminate tedious threading implementation work. It provides parallel loop
constructs, asynchronous tasks, synchronization primitives, atomic operations,
and more. @code{python-onetbb} enables threading composability between two or
more thread-enabled Python libraries.")))
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