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-rw-r--r--gnu/packages/machine-learning.scm50
1 files changed, 50 insertions, 0 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 952872e468..4ac1fb5ab5 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -70,6 +70,7 @@
#:use-module (gnu packages mpi)
#:use-module (gnu packages ocaml)
#:use-module (gnu packages onc-rpc)
+ #:use-module (gnu packages parallel)
#:use-module (gnu packages perl)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages protobuf)
@@ -2229,3 +2230,52 @@ These include a barrier, broadcast, and allreduce.")
technique that can be used for visualisation similarly to t-SNE, but also for
general non-linear dimension reduction.")
(license license:bsd-3)))
+
+(define-public xnnpack
+ ;; There's currently no tag on this repo.
+ (let ((version "0.0")
+ (commit "bbe88243aba847f6a3dd86defec0fea4a0e415a1")
+ (revision "1"))
+ (package
+ (name "xnnpack")
+ (version (git-version version revision commit))
+ (home-page "https://github.com/google/XNNPACK")
+ (source (origin
+ (method git-fetch)
+ (uri (git-reference (url home-page) (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "19j605x1l2h95mjhcj90zwjh1153pdgmqggl35ya5w0wll628iiz"))
+ (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
+ `(("cpuinfo" ,cpuinfo)
+ ("pthreadpool" ,pthreadpool)
+ ("googletest" ,googletest)
+ ("googlebenchmark" ,googlebenchmark)
+ ("fxdiv" ,fxdiv)
+ ("fp16" ,fp16)
+ ("psimd" ,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))))
+