Source: onnxruntime
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>,
           Dylan Aïssi <daissi@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-exec,
               dh-sequence-python3,
               dh-sequence-numpy3,
               cmake,
               libboost-dev,
               libbenchmark-dev,
               libcpuinfo-dev (>= 0.0~git20240830.fa1c679),
               libeigen3-dev (>= 3.4.0),
               libflatbuffers-dev,
               libgmock-dev,
               libgtest-dev,
               libhowardhinnant-date-dev,
               libmsgsl-dev,
               libnsync-dev,
               libonnx-dev,
               libonnx-testdata,
               libpng-dev,
               libprotobuf-dev,
               libpthreadpool-dev,
               libsafeint-dev,
               libre2-dev,
               libdnnl-dev [amd64 arm64 ppc64el riscv64 s390x],
               libxnnpack-dev (>= 0.0~git20240821.87ee0b4) [amd64 arm64 armhf i386 riscv64 x32],
               ninja-build,
               nlohmann-json3-dev,
               protobuf-compiler,
               pkgconf,
               python3-all,
               python3-all-dev,
               python3-numpy,
               python3-onnx,
               python3-packaging,
               python3-protobuf,
               python3-pybind11,
               python3-setuptools,
               python3-wheel,
               zlib1g-dev
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/deeplearning-team/onnxruntime
Vcs-Git: https://salsa.debian.org/deeplearning-team/onnxruntime.git
Homepage: https://github.com/microsoft/onnxruntime
Rules-Requires-Root: no

Package: libonnxruntime1.19.2
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${misc:Depends},
         ${shlibs:Depends}
Description: cross-platform inference and training ML accelerator (shared lib)
 ONNX Runtime is a performance-focused complete scoring engine for Open Neural
 Network Exchange (ONNX) models, with an open extensible architecture to
 continually address the latest developments in AI and Deep Learning. ONNX
 Runtime stays up to date with the ONNX standard with complete implementation of
 all ONNX operators, and supports all ONNX releases (1.2+) with both future and
 backwards compatibility. Please refer to this page for ONNX opset compatibility
 details.
 .
 This package provides the shared library.

Package: libonnxruntime-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libonnxruntime1.19.2 (= ${binary:Version}),
         ${misc:Depends}
Breaks: libonnxruntime1.13.1 (<< 1.16.3+dfsg-1~)
Replaces: libonnxruntime1.13.1 (<< 1.16.3+dfsg-1~)
Description: cross-platform inference and training ML accelerator (dev files)
 ONNX Runtime is a performance-focused complete scoring engine for Open Neural
 Network Exchange (ONNX) models, with an open extensible architecture to
 continually address the latest developments in AI and Deep Learning. ONNX
 Runtime stays up to date with the ONNX standard with complete implementation of
 all ONNX operators, and supports all ONNX releases (1.2+) with both future and
 backwards compatibility. Please refer to this page for ONNX opset compatibility
 details.
 .
 This package provides the development files for libonnxruntime.

Package: onnxruntime-tools
Architecture: any
Depends: ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Description: cross-platform inference and training ML accelerator (tools)
 ONNX Runtime is a performance-focused complete scoring engine for Open Neural
 Network Exchange (ONNX) models, with an open extensible architecture to
 continually address the latest developments in AI and Deep Learning. ONNX
 Runtime stays up to date with the ONNX standard with complete implementation of
 all ONNX operators, and supports all ONNX releases (1.2+) with both future and
 backwards compatibility. Please refer to this page for ONNX opset compatibility
 details.
 .
 This package provides the onnxruntime tools.

Package: python3-onnxruntime
Architecture: any
Section: python
Depends: libonnxruntime1.19.2 (= ${binary:Version}),
         ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Description: cross-platform inference and training ML accelerator (Python bindings)
 ONNX Runtime is a performance-focused complete scoring engine for Open Neural
 Network Exchange (ONNX) models, with an open extensible architecture to
 continually address the latest developments in AI and Deep Learning. ONNX
 Runtime stays up to date with the ONNX standard with complete implementation of
 all ONNX operators, and supports all ONNX releases (1.2+) with both future and
 backwards compatibility. Please refer to this page for ONNX opset compatibility
 details.
 .
 This package provides the onnxruntime Python bindings.