2018-01-20 00:40:08 +00:00
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class Caffe < Formula
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desc "Fast open framework for deep learning"
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homepage "https://caffe.berkeleyvision.org/"
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url "https://github.com/BVLC/caffe/archive/1.0.tar.gz"
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sha256 "71d3c9eb8a183150f965a465824d01fe82826c22505f7aa314f700ace03fa77f"
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2018-06-20 16:53:09 +00:00
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revision 2
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2018-01-20 00:40:08 +00:00
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2018-03-01 16:25:40 +00:00
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bottle do
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2018-06-20 18:09:04 +00:00
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sha256 "37b3112edbfcdf5ded4d914d10fe29c9b676fb339f18fd9bc7f361be80083aa0" => :high_sierra
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sha256 "623b08298ca79601fad506559a4c59ef4feae12e189b39855acd98ee04b1a5e6" => :sierra
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sha256 "a8e8928e47853cc55233f7efd3969deb106078aa8354c15758e5417ba71d7920" => :el_capitan
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2018-03-01 16:25:40 +00:00
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end
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2018-01-20 00:40:08 +00:00
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depends_on "cmake" => :build
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depends_on "boost"
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depends_on "gflags"
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depends_on "glog"
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depends_on "hdf5"
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depends_on "protobuf"
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depends_on "szip"
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depends_on "leveldb" => :optional
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depends_on "lmdb" => :optional
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depends_on "opencv" => :optional
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depends_on "snappy" if build.with?("leveldb")
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resource "test_model_weights" do
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url "http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel"
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sha256 "472d4a06035497b180636d8a82667129960371375bd10fcb6df5c6c7631f25e0"
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end
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2018-06-20 16:53:09 +00:00
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needs :cxx11
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2018-01-20 00:40:08 +00:00
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def install
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2018-06-20 16:53:09 +00:00
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ENV.cxx11
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2018-01-20 00:40:08 +00:00
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args = std_cmake_args + %w[
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-DCPU_ONLY=ON
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-DUSE_NCCL=OFF
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-DBUILD_SHARED_LIBS=ON
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-DBUILD_python=OFF
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-DBUILD_matlab=OFF
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-DBUILD_docs=OFF
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-DBUILD_python_layer=OFF
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-DALLOW_LMDB_NOLOCK=OFF
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-DUSE_OPENMP=OFF
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]
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args << "-DUSE_OPENCV=" + (build.with?("opencv") ? "ON" : "OFF")
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args << "-DUSE_LMDB=" + (build.with?("lmdb") ? "ON" : "OFF")
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args << "-DUSE_LEVELDB=" + (build.with?("leveldb") ? "ON" : "OFF")
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system "cmake", ".", *args
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system "make", "install"
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pkgshare.install "models"
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end
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test do
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model = "bvlc_reference_caffenet"
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m_path = "#{pkgshare}/models/#{model}"
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resource("test_model_weights").stage do
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system "#{bin}/caffe", "test",
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"-model", "#{m_path}/deploy.prototxt",
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"-solver", "#{m_path}/solver.prototxt",
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"-weights", "#{model}.caffemodel"
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end
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end
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end
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