2020-06-18 05:36:24 +00:00
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class Onednn < Formula
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desc "Basic building blocks for deep learning applications"
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homepage "https://01.org/oneDNN"
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url "https://github.com/oneapi-src/onednn/archive/v1.5.tar.gz"
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sha256 "2aacc00129418185e0bc1269d3ef82f93f08de2c336932989c0c360279129edb"
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head "https://github.com/oneapi-src/onednn.git"
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2020-06-22 12:07:51 +00:00
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bottle do
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cellar :any
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sha256 "6c0397633ae7e439d40026bff8593cdf90385b3f08e2a5286c9dbb1684e16097" => :catalina
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sha256 "179cc20a24a1181e27ecacbdc2ea43f8ebf4575ab798dca288fa32f842c3fbaf" => :mojave
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sha256 "6a22a61f6c15c14487513dc882c1f762036131a15cf4b2b743bb1590e3f207f3" => :high_sierra
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end
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2020-06-18 05:36:24 +00:00
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depends_on "cmake" => :build
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depends_on "doxygen" => :build
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def install
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system "cmake", ".", *std_cmake_args
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system "make"
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system "make", "doc"
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system "make", "install"
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end
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test do
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(testpath/"test.c").write <<~EOS
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#include <mkldnn.h>
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int main() {
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mkldnn_engine_t engine;
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mkldnn_status_t status = mkldnn_engine_create(&engine, mkldnn_cpu, 0);
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return !(status == mkldnn_success);
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}
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EOS
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system ENV.cc, "-L#{lib}", "-lmkldnn", "test.c", "-o", "test"
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system "./test"
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end
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end
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