Source: onnxruntime
Section: libdevel
Priority: optional
Maintainer: kylin <kylin@unknown>
Build-Depends: debhelper-compat (= 12)
Standards-Version: 4.4.1
Homepage: 

Package: libonnxruntime-dev
Architecture: amd64
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Depends: libonnxruntime (= 1.20.1+dfsg-ok1)
Breaks: libonnxruntime1.13.1 (<< 1.16.3+dfsg-1~)
Replaces: libonnxruntime1.13.1 (<< 1.16.3+dfsg-1~)
Section: libdevel
Priority: optional
Multi-Arch: same
Homepage: https://github.com/microsoft/onnxruntime
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: python3-onnxruntime
Architecture: amd64
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Depends: libonnxruntime (= 1.20.1+dfsg-ok1), python3 (<< 3.13), python3 (>= 3.12~), python3-coloredlogs, python3-flatbuffers, python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3-packaging, python3-protobuf, python3-sympy, python3:any, libc6 (>= 2.38), libcpuinfo0 (>= 0.0~git20230113.6481e8b-ok1), libgcc-s1 (>= 4.0), libonnx1t64 (>= 1.16.2), libprotobuf32t64 (>= 3.21.12), libre2-10 (>= 20160901), libstdc++6 (>= 11)
Section: python
Priority: optional
Homepage: https://github.com/microsoft/onnxruntime
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.

Package: libonnxruntime
Architecture: amd64
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Depends: libc6 (>= 2.38), libcpuinfo0 (>= 0.0~git20230113.6481e8b-ok1), libgcc-s1 (>= 4.0), libonnx1t64 (>= 1.16.2), libprotobuf32t64 (>= 3.21.12), libre2-10 (>= 20160901), libstdc++6 (>= 11)
Conflicts: libonnxruntime1.19.2
Replaces: libonnxruntime-dev (<< 1.20.1+dfsg-1~exp2~), libonnxruntime1.19.2
Section: libs
Priority: optional
Multi-Arch: same
Homepage: https://github.com/microsoft/onnxruntime
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.

