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onnx package

onnx 1.12.0-2build2 source package in Ubuntu

Changelog

onnx (1.12.0-2build2) lunar; urgency=medium

  * Rebuild against new libprotobuf32.

 -- Gianfranco Costamagna <email address hidden>  Wed, 04 Jan 2023 17:43:19 +0100

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

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File Size SHA-256 Checksum
onnx_1.12.0.orig.tar.gz 9.1 MiB 052ad3d5dad358a33606e0fc89483f8150bb0655c99b12a43aa58b5b7f0cc507
onnx_1.12.0-2build2.debian.tar.xz 11.4 KiB e7180bb00f3fbf311d943b08bf307ea3921acfa918084d9a299cccc7a5ba5911
onnx_1.12.0-2build2.dsc 2.4 KiB 1a05b7e0b9f0a81d5351eb4b54b627081bb1e91f2dea472b53e891d5f5351192

Available diffs

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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: debug symbols for libonnxifi
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