Ubuntu
onnx package

onnx 1.14.1-2.1 source package in Ubuntu

Changelog

onnx (1.14.1-2.1) unstable; urgency=medium

  * Non-maintainer upload.
  * Rename libraries for 64-bit time_t transition.  Closes: #1062824

 -- Benjamin Drung <email address hidden>  Thu, 29 Feb 2024 02:26:46 +0000

Upload details

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

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Downloads

File Size SHA-256 Checksum
onnx_1.14.1-2.1.dsc 2.4 KiB e0731c452f82927fa44ce9bf345b77a6a8923b21139d71cd363de8747a1dc2a4
onnx_1.14.1.orig.tar.gz 11.0 MiB e296f8867951fa6e71417a18f2e550a730550f8829bd35e947b4df5e3e777aa1
onnx_1.14.1-2.1.debian.tar.xz 12.2 KiB 80599dabacece730b4457bf2bbf58370b8dd74a18be2230a0d43c39e897eeb63

Available diffs

No changes file available.

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.

libonnx1t64: 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.

libonnx1t64-dbgsym: debug symbols for libonnx1t64
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