85 lines
2.7 KiB
Ruby
85 lines
2.7 KiB
Ruby
class Libtorch < Formula
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include Language::Python::Virtualenv
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desc "Tensors and dynamic neural networks"
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homepage "https://pytorch.org/"
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url "https://github.com/pytorch/pytorch.git",
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tag: "v1.9.1",
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revision: "dfbd030854359207cb3040b864614affeace11ce"
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license "BSD-3-Clause"
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livecheck do
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url :stable
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regex(/^v?(\d+(?:\.\d+)+)$/i)
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end
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bottle do
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sha256 cellar: :any, big_sur: "259a9ade3880026cddffbadac967405d7a8900cce1d43739456f4acdd826a864"
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sha256 cellar: :any, catalina: "49c7b2cbd6f18a984be41fe3412a7928e54533acb171abdc89311cff0eb9eab5"
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sha256 cellar: :any, mojave: "65e1c0c4b62cbc28eb547f4139f8f42e007c9ad940475cbae74791b6dcb747a1"
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sha256 cellar: :any_skip_relocation, x86_64_linux: "563944e7996b82ccc32336fb6e46ee95ad8394a0163af50fdb359c1783ed697e"
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end
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depends_on "cmake" => :build
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depends_on "python@3.9" => :build
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depends_on "eigen"
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depends_on "libomp"
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depends_on "libyaml"
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depends_on "protobuf"
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depends_on "pybind11"
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resource "PyYAML" do
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url "https://files.pythonhosted.org/packages/a0/a4/d63f2d7597e1a4b55aa3b4d6c5b029991d3b824b5bd331af8d4ab1ed687d/PyYAML-5.4.1.tar.gz"
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sha256 "607774cbba28732bfa802b54baa7484215f530991055bb562efbed5b2f20a45e"
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end
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resource "typing-extensions" do
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url "https://files.pythonhosted.org/packages/ed/12/c5079a15cf5c01d7f4252b473b00f7e68ee711be605b9f001528f0298b98/typing_extensions-3.10.0.2.tar.gz"
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sha256 "49f75d16ff11f1cd258e1b988ccff82a3ca5570217d7ad8c5f48205dd99a677e"
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end
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def install
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venv = virtualenv_create(buildpath/"venv", Formula["python@3.9"].opt_bin/"python3")
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venv.pip_install resources
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args = %W[
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-DBUILD_CUSTOM_PROTOBUF=OFF
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-DBUILD_PYTHON=OFF
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-DPYTHON_EXECUTABLE=#{buildpath}/venv/bin/python
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-Dpybind11_PREFER_third_party=OFF
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-DUSE_CUDA=OFF
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-DUSE_METAL=OFF
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-DUSE_MKLDNN=OFF
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-DUSE_NNPACK=OFF
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-DUSE_OPENMP=OFF
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-DUSE_SYSTEM_EIGEN_INSTALL=ON
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]
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mkdir "build" do
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system "cmake", "..", *std_cmake_args, *args
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# Avoid references to Homebrew shims
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inreplace "caffe2/core/macros.h", Superenv.shims_path/ENV.cxx, ENV.cxx
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system "make"
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system "make", "install"
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end
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end
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test do
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(testpath/"test.cpp").write <<~EOS
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#include <torch/torch.h>
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#include <iostream>
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int main() {
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torch::Tensor tensor = torch::rand({2, 3});
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std::cout << tensor << std::endl;
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}
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EOS
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system ENV.cxx, "-std=c++14", "test.cpp", "-o", "test",
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"-I#{include}/torch/csrc/api/include",
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"-L#{lib}", "-ltorch", "-ltorch_cpu", "-lc10"
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system "./test"
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end
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end
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