BDEPEND=>=dev-util/ninja-1.8.2 >=dev-util/cmake-3.20.5 DEFINED_PHASES=compile configure install prepare setup test DEPEND=python_single_target_python3_10? ( >=dev-lang/python-3.10.12:3.10 ) python_single_target_python3_11? ( >=dev-lang/python-3.11.4:3.11 ) dev-cpp/gflags:= >=dev-cpp/glog-0.5.0 dev-libs/cpuinfo dev-libs/libfmt dev-libs/protobuf:= dev-libs/pthreadpool dev-libs/sleef sci-libs/lapack >=sci-libs/onnx-1.12.0 sci-libs/foxi cuda? ( =dev-libs/cudnn-8* dev-libs/cudnn-frontend:0/8 =sci-libs/XNNPACK-2022.12.22 ) dev-cpp/eigen cuda? ( dev-libs/cutlass ) dev-libs/psimd dev-libs/FP16 dev-libs/FXdiv dev-libs/pocketfft dev-libs/flatbuffers sci-libs/kineto python_single_target_python3_10? ( dev-python/pyyaml[python_targets_python3_10(-)] dev-python/pybind11[python_targets_python3_10(-)] ) python_single_target_python3_11? ( dev-python/pyyaml[python_targets_python3_11(-)] dev-python/pybind11[python_targets_python3_11(-)] ) DESCRIPTION=A deep learning framework EAPI=8 HOMEPAGE=https://pytorch.org/ INHERIT=python-single-r1 cmake cuda flag-o-matic IUSE=cuda distributed fbgemm ffmpeg gloo mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack python_single_target_python3_10 python_single_target_python3_11 KEYWORDS=~amd64 LICENSE=BSD RDEPEND=python_single_target_python3_10? ( >=dev-lang/python-3.10.12:3.10 ) python_single_target_python3_11? ( >=dev-lang/python-3.11.4:3.11 ) dev-cpp/gflags:= >=dev-cpp/glog-0.5.0 dev-libs/cpuinfo dev-libs/libfmt dev-libs/protobuf:= dev-libs/pthreadpool dev-libs/sleef sci-libs/lapack >=sci-libs/onnx-1.12.0 sci-libs/foxi cuda? ( =dev-libs/cudnn-8* dev-libs/cudnn-frontend:0/8 =sci-libs/XNNPACK-2022.12.22 ) REQUIRED_USE=^^ ( python_single_target_python3_10 python_single_target_python3_11 ) ffmpeg? ( opencv ) mpi? ( distributed ) tensorpipe? ( distributed ) gloo? ( distributed ) RESTRICT=test SLOT=0 SRC_URI=https://github.com/pytorch/pytorch/archive/refs/tags/v2.0.0.tar.gz -> pytorch-2.0.0.tar.gz _eclasses_=cmake 6c921d868d090cc18e142a396f66f74a cuda 13d76baf0dc95e560610c6b7dfa79db4 flag-o-matic ad475baa777c9978fa035216c8264a10 multilib c19072c3cd7ac5cb21de013f7e9832e0 multiprocessing b4e253ab22cef7b1085e9b67c7a3b730 ninja-utils 76050953ad5b70d7e09a6ca55558db92 python-single-r1 75118e916668a74c660a13b0ecb22562 python-utils-r1 a013e16d5d896b3d8be68dd2a0e846ea toolchain-funcs 513c31b3346458ed1f3878b57da6d61c xdg-utils baea6080dd821f5562d715887954c9d3 _md5_=4a8f653fa5840e50e196ea5830e699c0