homebrew-core/Formula/mkl-dnn.rb
2018-11-30 16:29:30 +01:00

36 lines
1.1 KiB
Ruby

class MklDnn < Formula
desc "Intel Math Kernel Library for Deep Neural Networks"
homepage "https://01.org/mkl-dnn"
url "https://github.com/intel/mkl-dnn/archive/v0.17.1.tar.gz"
sha256 "75777735458c9e03434d9b1b111b92bca4230427b8de890dd694039dc34480ed"
bottle do
cellar :any
sha256 "8c4a383393cf3ffaf2d80cbd3a0d519f8d5dc1f60ed3d7e41058a96d5ea19c6f" => :mojave
sha256 "52797f6e0cc0fcbecceb7e696073f7e56b3e8ac4e61606f9992b14ba8920889b" => :high_sierra
sha256 "ca9e26e3b1aaafd8c6c8aabb18cfc1f0d253b1f1750ab9c7ccec34575f3343fd" => :sierra
end
depends_on "cmake" => :build
depends_on "doxygen" => :build
def install
system "cmake", ".", *std_cmake_args
system "make"
system "make", "doc"
system "make", "install"
end
test do
(testpath/"test.c").write <<~EOS
#include <mkldnn.h>
int main() {
mkldnn_engine_t engine;
mkldnn_status_t status = mkldnn_engine_create(&engine, mkldnn_cpu, 0);
return !(status == mkldnn_success);
}
EOS
system ENV.cc, "-L#{lib}", "-lmkldnn", "test.c", "-o", "test"
system "./test"
end
end