124 lines
4.2 KiB
Ruby
124 lines
4.2 KiB
Ruby
class Pytorch < Formula
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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: "v1.12.1",
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revision: "664058fa83f1d8eede5d66418abff6e20bd76ca8"
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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, arm64_ventura: "e1d8881ea30b057f582e5e908bc97f4922aca0680054b05bc9d3ad7c6da191a3"
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sha256 cellar: :any, arm64_monterey: "17dd6a096eee8aecdfd693be17ee30f207f2ada880e52ae3a8bc8a39d7c8cf23"
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sha256 cellar: :any, arm64_big_sur: "c9a913b6c2a60970338d9ed82f9be168b992f05bbde109f0f65cddaaf0cef602"
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sha256 cellar: :any, monterey: "41479b4c2d8e9ee045fde9f6f0845c6f154da08e0195acde96462cda084cc863"
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sha256 cellar: :any, big_sur: "74be80be51c2842d3cd81125f4ea71b2fdff940446c4a513835e66629df88479"
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sha256 cellar: :any, catalina: "a1654f4f335fa0f76b99355b9ef2118eb4225c41d189c282beb75d0fc0302164"
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sha256 cellar: :any_skip_relocation, x86_64_linux: "f8621ecee06694da1a68357a4fb40417905b8c3de0c486dfc8f0ce2dcac32804"
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end
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depends_on "cmake" => :build
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depends_on "ninja" => :build
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depends_on "python@3.10" => [:build, :test]
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depends_on "eigen"
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depends_on "libuv"
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depends_on "numpy"
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depends_on "openblas"
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depends_on "openssl@1.1"
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depends_on "protobuf"
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depends_on "pybind11"
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depends_on "python-typing-extensions"
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depends_on "pyyaml"
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on_macos do
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depends_on "libomp"
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end
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# Update fbgemm to a version that works with macOS on Intel.
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# Remove with next release.
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resource "fbgemm" do
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url "https://github.com/pytorch/FBGEMM.git",
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revision: "0d98c261561524cce92e37fe307ea6596664309a"
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end
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def install
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rm_r "third_party/fbgemm"
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resource("fbgemm").stage(buildpath/"third_party/fbgemm")
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# Remove with next release
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inreplace "cmake/Dependencies.cmake",
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'if("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang" AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 13.0.0)',
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"if(FALSE)"
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openssl_root = Formula["openssl@1.1"].opt_prefix
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python_exe = Formula["python@3.10"].opt_libexec/"bin/python"
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args = %W[
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-GNinja
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-DBLAS=OpenBLAS
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-DBUILD_CUSTOM_PROTOBUF=OFF
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-DBUILD_PYTHON=ON
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-DCMAKE_CXX_COMPILER=#{ENV.cxx}
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-DCMAKE_C_COMPILER=#{ENV.cc}
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-DOPENSSL_ROOT_DIR=#{openssl_root}
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-DPYTHON_EXECUTABLE=#{python_exe}
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-DUSE_CUDA=OFF
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-DUSE_DISTRIBUTED=ON
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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=ON
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-DUSE_SYSTEM_EIGEN_INSTALL=ON
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-DUSE_SYSTEM_PYBIND11=ON
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]
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# Remove when https://github.com/pytorch/pytorch/issues/67974 is addressed
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args << "-DUSE_SYSTEM_BIND11=ON"
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ENV["LDFLAGS"] = "-L#{buildpath}/build/lib"
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# Update references to shared libraries
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inreplace "torch/__init__.py" do |s|
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s.sub!(/here = os.path.abspath\(__file__\)/, "here = \"#{lib}\"")
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s.sub!(/get_file_path\('torch', 'bin', 'torch_shm_manager'\)/, "\"#{bin}/torch_shm_manager\"")
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end
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inreplace "torch/utils/cpp_extension.py", "_TORCH_PATH = os.path.dirname(os.path.dirname(_HERE))",
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"_TORCH_PATH = \"#{opt_prefix}\""
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system "cmake", "-B", "build", "-S", ".", *std_cmake_args, *args
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# Avoid references to Homebrew shims
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inreplace "build/caffe2/core/macros.h", Superenv.shims_path/ENV.cxx, ENV.cxx
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system python_exe, *Language::Python.setup_install_args(prefix, python_exe)
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end
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test do
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# test that C++ libraries are available
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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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# test that `torch` Python module is available
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python = Formula["python@3.10"]
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system python.opt_libexec/"bin/python", "-c", <<~EOS
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import torch
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torch.rand(5, 3)
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EOS
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end
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end
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