Source: ggml-cuda
Section: contrib/libs
Priority: optional
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Christian Kastner <ckk@debian.org>
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/deeplearning-team/ggml
Vcs-Git: https://salsa.debian.org/deeplearning-team/ggml.git
Homepage: https://github.com/ggml-org/ggml
Build-Depends: cmake,
               debhelper-compat (= 13),
               libggml-dev (>= 0.9.4),
               libggml-dev (<< 0.9.5),
               pkgconf,
               nvidia-cuda-toolkit-gcc,
Rules-Requires-Root: no

Package: libggml0-backend-cuda
Section: contrib/libs
Architecture: amd64 arm64 ppc64el
Multi-Arch: same
Depends: libggml0 (>= 0.9.4),
         libggml0 (<< 0.9.5),
         ${misc:Depends},
         ${shlibs:Depends}
Provides: libggml0-backend (= ${binary:Version})
Conflicts: libggml0-backend-vulkan
Description: Tensor library for machine learning - CUDA backend
 ggml is a tensor library for machine learning with the following features:
 .
  * Low-level cross-platform implementation
  * Integer quantization support
  * Broad hardware support
  * Automatic differentiation
  * ADAM and L-BFGS optimizers
  * No third-party dependencies
  * Zero memory allocations during runtime
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends. Note that ggml is not yet stable, so its files are installed to
 private directories for now.
 .
 This package provides the CUDA backend, for NVIDIA GPUs.