pytorch 2.4.1

Formula/p/pytorch.rb

@@ -3,10 +3,9 @@ class Pytorch < Formula
 
   desc "Tensors and dynamic neural networks"
   homepage "https://pytorch.org/"
-  url "https://github.com/pytorch/pytorch/releases/download/v2.2.0/pytorch-v2.2.0.tar.gz"
-  sha256 "e12d18c3dbb12d7ae2f61f5ab9a21023e3dd179d67ed87279ef96600b9ac08c5"
+  url "https://github.com/pytorch/pytorch/releases/download/v2.4.1/pytorch-v2.4.1.tar.gz"
+  sha256 "39666a43c0c10f5fd46c1a7ca95dc74d3bc39de2678b70066481cbf02e58384f"
   license "BSD-3-Clause"
-  revision 11
 
   livecheck do
     url :stable
@@ -42,18 +41,18 @@ class Pytorch < Formula
   end
 
   resource "filelock" do
-    url "https://files.pythonhosted.org/packages/70/70/41905c80dcfe71b22fb06827b8eae65781783d4a14194bce79d16a013263/filelock-3.13.1.tar.gz"
-    sha256 "521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"
+    url "https://files.pythonhosted.org/packages/9d/db/3ef5bb276dae18d6ec2124224403d1d67bccdbefc17af4cc8f553e341ab1/filelock-3.16.1.tar.gz"
+    sha256 "c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"
   end
 
   resource "fsspec" do
-    url "https://files.pythonhosted.org/packages/28/d3/c2e0403c735548abf991bba3f45ba39194dff4569f76a99fbe77078ba7c5/fsspec-2024.2.0.tar.gz"
-    sha256 "b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"
+    url "https://files.pythonhosted.org/packages/62/7c/12b0943011daaaa9c35c2a2e22e5eb929ac90002f08f1259d69aedad84de/fsspec-2024.9.0.tar.gz"
+    sha256 "4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"
   end
 
   resource "jinja2" do
-    url "https://files.pythonhosted.org/packages/b2/5e/3a21abf3cd467d7876045335e681d276ac32492febe6d98ad89562d1a7e1/Jinja2-3.1.3.tar.gz"
-    sha256 "ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"
+    url "https://files.pythonhosted.org/packages/ed/55/39036716d19cab0747a5020fc7e907f362fbf48c984b14e62127f7e68e5d/jinja2-3.1.4.tar.gz"
+    sha256 "4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"
   end
 
   resource "markupsafe" do
@@ -67,8 +66,8 @@ class Pytorch < Formula
   end
 
   resource "networkx" do
-    url "https://files.pythonhosted.org/packages/c4/80/a84676339aaae2f1cfdf9f418701dd634aef9cc76f708ef55c36ff39c3ca/networkx-3.2.1.tar.gz"
-    sha256 "9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"
+    url "https://files.pythonhosted.org/packages/04/e6/b164f94c869d6b2c605b5128b7b0cfe912795a87fc90e78533920001f3ec/networkx-3.3.tar.gz"
+    sha256 "0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9"
   end
 
   resource "opt-einsum" do
@@ -83,47 +82,42 @@ class Pytorch < Formula
   end
 
   resource "pyyaml" do
-    url "https://files.pythonhosted.org/packages/cd/e5/af35f7ea75cf72f2cd079c95ee16797de7cd71f29ea7c68ae5ce7be1eda0/PyYAML-6.0.1.tar.gz"
-    sha256 "bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"
+    url "https://files.pythonhosted.org/packages/54/ed/79a089b6be93607fa5cdaedf301d7dfb23af5f25c398d5ead2525b063e17/pyyaml-6.0.2.tar.gz"
+    sha256 "d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"
   end
 
   resource "setuptools" do
-    url "https://files.pythonhosted.org/packages/c8/1f/e026746e5885a83e1af99002ae63650b7c577af5c424d4c27edcf729ab44/setuptools-69.1.1.tar.gz"
-    sha256 "5c0806c7d9af348e6dd3777b4f4dbb42c7ad85b190104837488eab9a7c945cf8"
+    url "https://files.pythonhosted.org/packages/27/b8/f21073fde99492b33ca357876430822e4800cdf522011f18041351dfa74b/setuptools-75.1.0.tar.gz"
+    sha256 "d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538"
   end
 
   resource "sympy" do
-    url "https://files.pythonhosted.org/packages/e5/57/3485a1a3dff51bfd691962768b14310dae452431754bfc091250be50dd29/sympy-1.12.tar.gz"
-    sha256 "ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"
+    url "https://files.pythonhosted.org/packages/11/8a/5a7fd6284fa8caac23a26c9ddf9c30485a48169344b4bd3b0f02fef1890f/sympy-1.13.3.tar.gz"
+    sha256 "b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"
   end
 
   resource "typing-extensions" do
-    url "https://files.pythonhosted.org/packages/0c/1d/eb26f5e75100d531d7399ae800814b069bc2ed2a7410834d57374d010d96/typing_extensions-4.9.0.tar.gz"
-    sha256 "23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"
+    url "https://files.pythonhosted.org/packages/df/db/f35a00659bc03fec321ba8bce9420de607a1d37f8342eee1863174c69557/typing_extensions-4.12.2.tar.gz"
+    sha256 "1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"
   end
 
-  # Support numpy 2.0: https://github.com/pytorch/pytorch/pull/121880
-  patch do
-    url "https://github.com/pytorch/pytorch/commit/38d9bb5abcc31ba97927a5399b88afe2cf60bf64.patch?full_index=1"
-    sha256 "c9bf84d154e5f3f9b67a68d25765f32a08b9deb3127254971ed6351231eba228"
-  end
-
-  # Backport usage of SLEEF_CONST from upstream commit
-  # Ref: https://github.com/pytorch/pytorch/commit/2b060983809e5fe8706acd085fff67b6a27bfb5f
-  patch :DATA
-
   def install
     python3 = "python3.12"
 
+    # Avoid building AVX512 code
+    inreplace "cmake/Modules/FindAVX.cmake", /^CHECK_SSE\(CXX "AVX512"/, "#\\0"
+
     ENV["ATEN_NO_TEST"] = "ON"
     ENV["BLAS"] = "OpenBLAS"
     ENV["BUILD_CUSTOM_PROTOBUF"] = "OFF"
     ENV["BUILD_PYTHON"] = "ON"
     ENV["BUILD_TEST"] = "OFF"
     ENV["PYTHON_EXECUTABLE"] = which(python3)
+    ENV["PYTORCH_BUILD_VERSION"] = version.to_s
+    ENV["PYTORCH_BUILD_NUMBER"] = "1"
+    ENV["USE_CCACHE"] = "OFF"
     ENV["USE_CUDA"] = "OFF"
     ENV["USE_DISTRIBUTED"] = "ON"
-    ENV["USE_METAL"] = "OFF"
     ENV["USE_MKLDNN"] = "OFF"
     ENV["USE_NNPACK"] = "OFF"
     ENV["USE_OPENMP"] = "ON"
@@ -134,7 +128,7 @@ def install
 
     # Work around superenv removing `-Werror=` but leaving `-Wno-error=` breaking flag detection
     if ENV.compiler.to_s.start_with?("gcc")
-      inreplace "CMakeLists.txt", 'append_cxx_flag_if_supported("-Wno-error=inconsistent-missing-', "# \\0"
+      inreplace "CMakeLists.txt", /^\s*append_cxx_flag_if_supported\(\s*"-Wno-error=inconsistent-missing-[^)]*\)/, ""
     end
 
     # Avoid references to Homebrew shims
@@ -145,7 +139,7 @@ def install
     venv.pip_install_and_link(buildpath, build_isolation: false)
 
     # Expose C++ API
-    torch = libexec/Language::Python.site_packages(python3)/"torch"
+    torch = venv.site_packages/"torch"
     include.install_symlink (torch/"include").children
     lib.install_symlink (torch/"lib").children
     (share/"cmake").install_symlink (torch/"share/cmake").children
@@ -174,43 +168,12 @@ def install
       assert isinstance(t, torch.Tensor), "not a tensor"
       assert torch.distributed.is_available(), "torch.distributed is unavailable"
     EOS
+    return unless OS.mac?
 
-    if OS.mac?
-      # test that we have the MPS backend
-      system libexec/"bin/python", "-c", <<~EOS
-        import torch
-        assert torch.backends.mps.is_built(), "MPS backend is not built"
-      EOS
-    end
+    # test that we have the MPS backend
+    system libexec/"bin/python", "-c", <<~EOS
+      import torch
+      assert torch.backends.mps.is_built(), "MPS backend is not built"
+    EOS
   end
 end
-
-__END__
-diff --git a/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h b/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h
-index 3e26213d6d26609b2cda7bde2d026fc92c626db2..edda0210746530bb60765939e90899083f8be595 100644
---- a/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h
-+++ b/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h
-@@ -265,7 +266,8 @@ static_assert(
-     }
-     return b;
-   }
--  Vectorized<T> map(const __m256 (*const vop)(__m256)) const {
-+
-+  Vectorized<T> map(SLEEF_CONST __m256 (*vop)(__m256)) const {
-     __m256 lo, hi;
-     cvt_to_fp32<T>(values, lo, hi);
-     const auto o1 = vop(lo);
-diff --git a/aten/src/ATen/cpu/vec/vec512/vec512_bfloat16.h b/aten/src/ATen/cpu/vec/vec512/vec512_bfloat16.h
-index f9fc92d52bfe0c8ea594384beecf4da47961faa0..6513455283e2be3e588fd15131c5d48a17e107bb 100644
---- a/aten/src/ATen/cpu/vec/vec512/vec512_bfloat16.h
-+++ b/aten/src/ATen/cpu/vec/vec512/vec512_bfloat16.h
-@@ -362,7 +363,8 @@ static_assert(
-   }
-   #pragma clang diagnostic push
-   #pragma clang diagnostic ignored "-Wignored-qualifiers"
--  Vectorized<T> map(const __m512 (*const vop)(__m512)) const {
-+
-+  Vectorized<T> map(SLEEF_CONST __m512 (*vop)(__m512)) const {
-     __m512 lo, hi;
-     cvt_to_fp32<T>(values, lo, hi);
-     const auto o1 = vop(lo);

Formula/t/torchvision.rb

@@ -3,10 +3,9 @@ class Torchvision < Formula
 
   desc "Datasets, transforms, and models for computer vision"
   homepage "https://github.com/pytorch/vision"
-  url "https://github.com/pytorch/vision/archive/refs/tags/v0.17.0.tar.gz"
-  sha256 "55e395d5c7d9bf7658c82ac633cac2224aa168e1bfe8bb5b2b2a296c792a3500"
+  url "https://github.com/pytorch/vision/archive/refs/tags/v0.19.1.tar.gz"
+  sha256 "083e75c467285595ec3eb3c7aa8493c19e53d7eb42f13046fb56a07c8897e5a8"
   license "BSD-3-Clause"
-  revision 11
 
   livecheck do
     url :stable
@@ -38,26 +37,6 @@ class Torchvision < Formula
     depends_on "libomp"
   end
 
-  resource "charset-normalizer" do
-    url "https://files.pythonhosted.org/packages/63/09/c1bc53dab74b1816a00d8d030de5bf98f724c52c1635e07681d312f20be8/charset-normalizer-3.3.2.tar.gz"
-    sha256 "f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"
-  end
-
-  resource "idna" do
-    url "https://files.pythonhosted.org/packages/e8/ac/e349c5e6d4543326c6883ee9491e3921e0d07b55fdf3cce184b40d63e72a/idna-3.8.tar.gz"
-    sha256 "d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"
-  end
-
-  resource "requests" do
-    url "https://files.pythonhosted.org/packages/63/70/2bf7780ad2d390a8d301ad0b550f1581eadbd9a20f896afe06353c2a2913/requests-2.32.3.tar.gz"
-    sha256 "55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"
-  end
-
-  resource "urllib3" do
-    url "https://files.pythonhosted.org/packages/43/6d/fa469ae21497ddc8bc93e5877702dca7cb8f911e337aca7452b5724f1bb6/urllib3-2.2.2.tar.gz"
-    sha256 "dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"
-  end
-
   def install
     system "cmake", "-S", ".", "-B", "build", *std_cmake_args
     system "cmake", "--build", "build"
@@ -74,9 +53,10 @@ def install
 
     # We depend on pytorch, but that's a separate formula, so install a `.pth` file to link them.
     # This needs to happen _before_ we try to install torchvision.
+    # NOTE: This is an exception to our usual policy as building `pytorch` is complicated
     site_packages = Language::Python.site_packages(python3)
-    pytorch = Formula["pytorch"].opt_libexec
-    (libexec/site_packages/"homebrew-pytorch.pth").write pytorch/site_packages
+    pth_contents = "import site; site.addsitedir('#{Formula["pytorch"].opt_libexec/site_packages}')\n"
+    (venv.site_packages/"homebrew-pytorch.pth").write pth_contents
 
     venv.pip_install_and_link(buildpath, build_isolation: false)
 

pypi_formula_mappings.json

@@ -675,6 +675,11 @@
   "pythran": {
     "exclude_packages": ["numpy"]
   },
+  "pytorch": {
+    "package_name": "torch[opt-einsum]",
+    "extra_packages": ["pyyaml"],
+    "exclude_packages": ["numpy"]
+  },
   "raven": {
     "exclude_packages": ["certifi"]
   },