Package: libtorch-rocm-test
Source: pytorch-rocm
Version: 2.9.1+dfsg-1~exp2ubuntu5
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Installed-Size: 73805
Depends: libtorch-rocm-2.9 (= 2.9.1+dfsg-1~exp2ubuntu5), libamdhip64-7 (>= 7.2.0~), libbenchmark1.9.1 (>= 1.9.1), libc6 (>= 2.43), libgcc-s1 (>= 3.0), libhipblas3 (>= 7.2.0~), libhipblaslt1 (>= 7.2.4+dfsg), libhipfft0 (>= 7.2.0~), libhiprand1 (>= 7.2.0~), libhiprtc7 (>= 7.2.0~), libhipsolver1 (>= 7.2.0~), libhipsparse4 (>= 7.2.0~), libmiopen1 (>= 7.2.4+dfsg), libprotobuf32t64 (>= 3.21.12), librocblas5 (>= 7.2.0~), librocrand1 (>= 7.2.0~), librocsolver0 (>= 7.2.4), libsleef3 (>= 3.6.1-1~), libstdc++6 (>= 13.1)
Conflicts: libtorch-cuda-test, libtorch-test
Replaces: libtorch-cuda-test, libtorch-test
Section: libs
Priority: optional
Homepage: https://pytorch.org/
Description: Tensors and Dynamic neural networks in Python (Test Binaries)
 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the ROCM version of PyTorch (Test Binaries).
Original-Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
