Loading pkgs/development/python-modules/torch/default.nix +7 −7 Original line number Diff line number Diff line Loading @@ -207,7 +207,7 @@ in buildPythonPackage rec { pname = "torch"; # Don't forget to update torch-bin to the same version. version = "2.3.0"; version = "2.3.1"; pyproject = true; disabled = pythonOlder "3.8.0"; Loading @@ -225,7 +225,7 @@ buildPythonPackage rec { repo = "pytorch"; rev = "refs/tags/v${version}"; fetchSubmodules = true; hash = "sha256-UmH4Mv5QL7Mz4Y4pvxn8F1FGBR/UzYZjE2Ys8Oc0FWQ="; hash = "sha256-vpgtOqzIDKgRuqdT8lB/g6j+oMIH1RPxdbjtlzZFjV8="; }; patches = Loading Loading @@ -499,7 +499,7 @@ buildPythonPackage rec { ++ lib.optionals MPISupport [ mpi ] ++ lib.optionals rocmSupport [ rocmtoolkit_joined ]; propagatedBuildInputs = [ dependencies = [ astunparse cffi click Loading Loading @@ -629,18 +629,18 @@ buildPythonPackage rec { cudaCapabilities = if cudaSupport then supportedCudaCapabilities else [ ]; }; meta = with lib; { meta = { changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}"; # keep PyTorch in the description so the package can be found under that name on search.nixos.org description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration"; homepage = "https://pytorch.org/"; license = licenses.bsd3; maintainers = with maintainers; [ license = lib.licenses.bsd3; maintainers = with lib.maintainers; [ teh thoughtpolice tscholak ]; # tscholak esp. for darwin-related builds platforms = with platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin; platforms = with lib.platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin; broken = builtins.any trivial.id (builtins.attrValues brokenConditions); }; } Loading
pkgs/development/python-modules/torch/default.nix +7 −7 Original line number Diff line number Diff line Loading @@ -207,7 +207,7 @@ in buildPythonPackage rec { pname = "torch"; # Don't forget to update torch-bin to the same version. version = "2.3.0"; version = "2.3.1"; pyproject = true; disabled = pythonOlder "3.8.0"; Loading @@ -225,7 +225,7 @@ buildPythonPackage rec { repo = "pytorch"; rev = "refs/tags/v${version}"; fetchSubmodules = true; hash = "sha256-UmH4Mv5QL7Mz4Y4pvxn8F1FGBR/UzYZjE2Ys8Oc0FWQ="; hash = "sha256-vpgtOqzIDKgRuqdT8lB/g6j+oMIH1RPxdbjtlzZFjV8="; }; patches = Loading Loading @@ -499,7 +499,7 @@ buildPythonPackage rec { ++ lib.optionals MPISupport [ mpi ] ++ lib.optionals rocmSupport [ rocmtoolkit_joined ]; propagatedBuildInputs = [ dependencies = [ astunparse cffi click Loading Loading @@ -629,18 +629,18 @@ buildPythonPackage rec { cudaCapabilities = if cudaSupport then supportedCudaCapabilities else [ ]; }; meta = with lib; { meta = { changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}"; # keep PyTorch in the description so the package can be found under that name on search.nixos.org description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration"; homepage = "https://pytorch.org/"; license = licenses.bsd3; maintainers = with maintainers; [ license = lib.licenses.bsd3; maintainers = with lib.maintainers; [ teh thoughtpolice tscholak ]; # tscholak esp. for darwin-related builds platforms = with platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin; platforms = with lib.platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin; broken = builtins.any trivial.id (builtins.attrValues brokenConditions); }; }