Ubuntu
onnx package

onnx 1.12.0-2build3 source package in Ubuntu

Changelog

onnx (1.12.0-2build3) lunar; urgency=medium

  * No-change rebuild with Python 3.11 only

 -- Graham Inggs <email address hidden>  Mon, 20 Mar 2023 05:45:20 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Debian Deep Learning Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
onnx_1.12.0.orig.tar.gz 9.1 MiB 052ad3d5dad358a33606e0fc89483f8150bb0655c99b12a43aa58b5b7f0cc507
onnx_1.12.0-2build3.debian.tar.xz 11.4 KiB 3838aef02da2799ea7df9598b59c9a041de16cfc29d3124e31281999767b0392
onnx_1.12.0-2build3.dsc 2.4 KiB 4ebfaacba48db81c3b17b563d72392ad8edb6d08be7872c37c473f249022ce4f

Available diffs

View changes file

Binary packages built by this source

libonnx-dev: Open Neural Network Exchange (ONNX) (dev)

 Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
 that empowers AI developers to choose the right tools as their project evolves.
 ONNX provides an open source format for AI models. It defines an extensible
 computation graph model, as well as definitions of built-in operators and
 standard data types. Initially onnx focuses on the capabilities needed for
 inferencing (evaluation).
 .
 Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
 developing ONNX support. Enabling interoperability between different frameworks
 and streamlining the path from research to production will increase the speed
 of innovation in the AI community.
 .
 This package contains the development files.

libonnx-testdata: Open Neural Network Exchange (ONNX) (test data)

 Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
 that empowers AI developers to choose the right tools as their project evolves.
 ONNX provides an open source format for AI models. It defines an extensible
 computation graph model, as well as definitions of built-in operators and
 standard data types. Initially onnx focuses on the capabilities needed for
 inferencing (evaluation).
 .
 Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
 developing ONNX support. Enabling interoperability between different frameworks
 and streamlining the path from research to production will increase the speed
 of innovation in the AI community.
 .
 This package contains the test data.

libonnx1: Open Neural Network Exchange (ONNX) (libs)

 Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
 that empowers AI developers to choose the right tools as their project evolves.
 ONNX provides an open source format for AI models. It defines an extensible
 computation graph model, as well as definitions of built-in operators and
 standard data types. Initially onnx focuses on the capabilities needed for
 inferencing (evaluation).
 .
 Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
 developing ONNX support. Enabling interoperability between different frameworks
 and streamlining the path from research to production will increase the speed
 of innovation in the AI community.
 .
 This package contains the shared objects.

libonnx1-dbgsym: debug symbols for libonnx1
libonnxifi: Open Neural Network Exchange (ONNX) (ONNXIFI)

 Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
 that empowers AI developers to choose the right tools as their project evolves.
 ONNX provides an open source format for AI models. It defines an extensible
 computation graph model, as well as definitions of built-in operators and
 standard data types. Initially onnx focuses on the capabilities needed for
 inferencing (evaluation).
 .
 Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
 developing ONNX support. Enabling interoperability between different frameworks
 and streamlining the path from research to production will increase the speed
 of innovation in the AI community.
 .
 This package contains the libonnxifi.so shared object.

libonnxifi-dbgsym: No summary available for libonnxifi-dbgsym in ubuntu mantic.

No description available for libonnxifi-dbgsym in ubuntu mantic.

python3-onnx: Open Neural Network Exchange (ONNX) (Python)

 Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
 that empowers AI developers to choose the right tools as their project evolves.
 ONNX provides an open source format for AI models. It defines an extensible
 computation graph model, as well as definitions of built-in operators and
 standard data types. Initially onnx focuses on the capabilities needed for
 inferencing (evaluation).
 .
 Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
 developing ONNX support. Enabling interoperability between different frameworks
 and streamlining the path from research to production will increase the speed
 of innovation in the AI community.
 .
 This package contains the python interface.

python3-onnx-dbgsym: debug symbols for python3-onnx