Source: ggml-vendor-cuda
Section: vendor-nvidia/libs
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Christian Kastner <ckk@debian.org>,
           Mathieu Baudier <mbaudier@argeo.org>,
Standards-Version: 4.7.4
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),
               g++-15,
               libggml-dev (>= @GGML_DEBIAN_VERSION@~),
               libggml-dev (<< @GGML_DEBIAN_VERSION_PLUS1@~),
               pkgconf,
               cuda-nvcc-13-2 | cuda-nvcc-13,
               libcublas-dev-13-2 | libcublas.so.13-dev,
               libcuda1 | libcuda.so.1,

Package: libggml0-backend-vendor-cuda-13-2
Architecture: amd64 arm64
Multi-Arch: same
Depends: libggml0-backend-vendor-cuda-13
Description: Transitional dummy pacakge for libggml0-backend-vendor-cuda-13
 This is a transitional dummy package. It can safely be removed.

Package: libggml0-backend-vendor-cuda-13
Architecture: amd64 arm64
Multi-Arch: same
Depends: libggml0 (>= @GGML_DEBIAN_VERSION@),
         libggml0 (<< @GGML_DEBIAN_VERSION_PLUS1@~),
         ${misc:Depends},
         ${shlibs:Depends}
Provides: libggml0-backend (= ${binary:Version}),
          libggml0-backend-vendor-cuda
Breaks: libggml0-backend-vendor-cuda-13-2 (<< 0.12.0-2)
Replaces: libggml0-backend-vendor-cuda-13-2 (<< 0.12.0-2)
Conflicts: libggml0-backend-cuda
Description: Tensor library for machine learning - Vendor CUDA 13 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.
 .
 This package provides a CUDA backend, for NVIDIA GPUs, built against the
 vendor version of the NVIDIA CUDA toolkit version 13.x.
 .
 To use this package, you will also need to add NVIDIA's repository,
 see README.vendor-cuda.md in
 /usr/share/doc/libggml0-backend-vendor-cuda-13/.
