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Source: onnxruntime
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>,
Dylan Aïssi <daissi@debian.org>,
Shengqi Chen <harry@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-exec,
dh-sequence-python3,
dh-sequence-numpy3,
cmake,
libboost-dev,
# libbenchmark-dev, # not enabled in rules
libcpuinfo-dev (>= 0.0~git20240830.fa1c679),
libdlpack-dev,
libeigen3-dev (>= 3.4.0),
libflatbuffers-dev,
# libgmock-dev <!nocheck>,
# libgtest-dev <!nocheck>,
libhowardhinnant-date-dev,
libmsgsl-dev,
libonnx-dev (>= 1.20.0),
# libonnx-testdata <!nocheck>,
libpng-dev,
libprotobuf-dev,
libpthreadpool-dev,
libsafeint-dev,
libre2-dev,
libdnnl-dev [amd64 arm64 ppc64el s390x],
libxnnpack-dev (>= 0.0~git20241108.4ea82e5~) [amd64 arm64 armhf i386 riscv64 x32],
ninja-build,
nlohmann-json3-dev,
protobuf-compiler,
pkgconf,
python3,
python3-dev,
python3-numpy,
python3-onnx,
python3-packaging,
python3-protobuf,
python3-pybind11,
python3-setuptools,
python3-wheel,
sse2-support [i386],
zlib1g-dev
Standards-Version: 4.7.2
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: libonnxruntime1.23
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends},
libonnxruntime-providers (= ${binary:Version}),
sse2-support [i386]
Conflicts: libonnxruntime1.19.2, libonnxruntime1.20.1
Replaces: libonnxruntime1.19.2, libonnxruntime1.20.1,
libonnxruntime-dev (<< 1.20.1+dfsg-1~exp2~)
Breaks: libonnxruntime-dev (<< 1.20.1+dfsg-1~exp2~)
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-providers
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends},
sse2-support [i386]
Breaks: libonnxruntime1.21 (<< 1.21.0+dfsg-2~)
Replaces: libonnxruntime1.21 (<< 1.21.0+dfsg-2~)
Description: cross-platform inference and training ML accelerator (providers)
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 providers.
Package: libonnxruntime-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libonnxruntime1.23 (= ${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: all
Multi-Arch: foreign
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: libonnxruntime1.23 (= ${binary:Version}),
${misc:Depends},
${python3:Depends},
${shlibs:Depends},
sse2-support [i386]
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.
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