Source: ggml-dmo
Section: libs
Priority: optional
Maintainer: Christian Marillat <marillat@deb-multimedia.org>
Bugs: mailto:marillat@deb-multimedia.org
Standards-Version: 4.7.2
Homepage: https://github.com/ggml-org/ggml
Build-Depends: cmake, debhelper-compat (= 13),
 libblas-dev <!pkg.ggml.cuda>, pkgconf <!pkg.ggml.cuda>,
 libvulkan-dev <!pkg.ggml.cuda>, glslc <!pkg.ggml.cuda>,
 pkg-rocm-tools (>= 0.9.1~) <!pkg.ggml.cuda !pkg.ggml.nohip>,
 libamdhip64-dev (>= 6.4.3~) <!pkg.ggml.cuda !pkg.ggml.nohip>,
 hipcc <!pkg.ggml.cuda !pkg.ggml.nohip>,
 libhipblas-dev <!pkg.ggml.cuda !pkg.ggml.nohip>,
 librocblas-dev <!pkg.ggml.cuda !pkg.ggml.nohip>,
 nvidia-cuda-toolkit-gcc <pkg.ggml.cuda>,

Package: libggml0
Architecture: amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Multi-Arch: same
Depends: libggml0-backend-cpu (= ${binary:Version}), ${misc:Depends}, ${shlibs:Depends},
Suggests: libggml0-backend-blas (= ${binary:Version}),
          libggml0-backend-hip (= ${binary:Version}),
          libggml0-backend-vulkan (= ${binary:Version}),
Breaks: libggml,
Replaces: libggml,
Build-Profiles: <!pkg.ggml.cuda>
Description: Tensor library for machine learning - libraries
 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 main libraries.

Package: libggml-dev
Section: libdevel
Architecture: amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Multi-Arch: same
Depends: libggml0 (= ${binary:Version}), ${misc:Depends},
Breaks: libggml, libggml-cpu, libggml-blas, libggml-hip, libggml-vulkan,
Replaces: libggml, libggml-cpu, libggml-blas, libggml-hip, libggml-vulkan,
Build-Profiles: <!pkg.ggml.cuda>
Description: Tensor library for machine learning - development files
 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 development files.

Package: libggml0-backend-cpu
Architecture: amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends},
Provides: libggml0-backend (= ${binary:Version}),
Build-Profiles: <!pkg.ggml.cuda>
Description: Tensor library for machine learning - CPU 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 CPU backend.

Package: libggml0-backend-blas
Architecture: amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends},
Recommends: libopenblas0 | libblis4 | libmkl-rt | libblas3
Provides: libggml0-backend (= ${binary:Version})
Build-Profiles: <!pkg.ggml.cuda>
Description: Tensor library for machine learning - BLAS 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 BLAS backend.

Package: libggml0-backend-hip
Architecture: amd64 arm64 ppc64el
Multi-Arch: same
XB-X-ROCm-GPU-Architecture: ${rocm:GPU-Architecture}
Depends: ${misc:Depends}, ${shlibs:Depends},
Provides: libggml0-backend (= ${binary:Version})
Conflicts: libggml0-backend-vulkan,
Build-Profiles: <!pkg.ggml.nohip !pkg.ggml.cuda>
Description: Tensor library for machine learning - HIP 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 HIP backend, for AMD GPUs.

Package: libggml0-backend-vulkan
Architecture: amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends},
Provides: libggml0-backend (= ${binary:Version})
Build-Profiles: <!pkg.ggml.cuda>
Description: Tensor library for machine learning - Vulkan 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 Vulkan backend.

Package: libggml0-backend-cuda
Section: contrib/libs
Architecture: amd64 arm64 ppc64el
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends},
Provides: libggml0-backend (= ${binary:Version})
Conflicts: libggml0-backend-vulkan
Build-Profiles: <pkg.ggml.cuda>
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.
