about summary refs log tree commit diff
path: root/nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix
diff options
context:
space:
mode:
Diffstat (limited to 'nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix')
-rw-r--r--nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix52
1 files changed, 52 insertions, 0 deletions
diff --git a/nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix b/nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix
new file mode 100644
index 000000000000..1f6ae80b0329
--- /dev/null
+++ b/nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix
@@ -0,0 +1,52 @@
+{ lib
+, stdenv
+, buildPythonPackage
+, fetchurl
+, python
+, pytorch-bin
+, pythonOlder
+, pythonAtLeast
+}:
+
+buildPythonPackage rec {
+  pname = "torchaudio";
+  version = "0.10.0";
+  format = "wheel";
+
+  src =
+    let pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
+        unsupported = throw "Unsupported system";
+        srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
+    in fetchurl srcs;
+
+  disabled = ! (pythonAtLeast "3.7" && pythonOlder "3.10");
+
+  propagatedBuildInputs = [
+    pytorch-bin
+  ];
+
+  # The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
+  dontStrip = true;
+
+  pythonImportsCheck = [ "torchaudio" ];
+
+  postFixup = ''
+    # Note: after patchelf'ing, libcudart can still not be found. However, this should
+    #       not be an issue, because PyTorch is loaded before torchvision and brings
+    #       in the necessary symbols.
+    patchelf --set-rpath "${lib.makeLibraryPath [ stdenv.cc.cc.lib ]}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
+      "$out/${python.sitePackages}/torchaudio/_torchaudio.so"
+  '';
+
+  meta = with lib; {
+    description = "PyTorch audio library";
+    homepage = "https://pytorch.org/";
+    changelog = "https://github.com/pytorch/audio/releases/tag/v${version}";
+    # Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
+    # https://docs.nvidia.com/cuda/eula/index.html
+    # https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
+    license = licenses.bsd3;
+    platforms = platforms.linux;
+    maintainers = with maintainers; [ junjihashimoto ];
+  };
+}