onnx 1.13.1-3 source package in Ubuntu
Changelog
onnx (1.13.1-3) unstable; urgency=medium * Autopkgtest: use arch instead of dpkg-architecture. -- Mo Zhou <email address hidden> Sun, 10 Sep 2023 19:31:05 -0400
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
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| onnx_1.13.1-3.dsc | 2.3 KiB | 2e2c5d7b611b18bad3ba4c28f1fbeda3190f993eff2d742b0dea23833ed4c850 |
| onnx_1.13.1.orig.tar.gz | 10.3 MiB | 090d3e10ec662a98a2a72f1bf053f793efc645824f0d4b779e0ce47468a0890e |
| onnx_1.13.1-3.debian.tar.xz | 12.0 KiB | af2ee0a1ed2fb9da58cbc20ebbbd6850bf61cdc8579b644d2f939ed890f77251 |
Available diffs
- diff from 1.12.0-2build3 (in Ubuntu) to 1.13.1-3 (996.1 KiB)
- diff from 1.13.1-2 to 1.13.1-3 (481 bytes)
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.
- libonnx1: No summary available for libonnx1 in ubuntu noble.
No description available for libonnx1 in ubuntu noble.
- libonnx1-dbgsym: No summary available for libonnx1-dbgsym in ubuntu noble.
No description available for libonnx1-dbgsym in ubuntu noble.
- 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
