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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 (>= @UPSTREAM_VERSION@),
libggml-dev (<< @UPSTREAM_VERSION_PLUS1@),
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 (>= @UPSTREAM_VERSION@),
libggml0 (<< @UPSTREAM_VERSION_PLUS1@),
${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.
.
This package provides the CUDA backend, for NVIDIA GPUs.
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