onnx 1.12.0-2 source package in Ubuntu
Changelog
onnx (1.12.0-2) unstable; urgency=medium [ Mo Zhou ] * dch: ack previous nmu [ Francis Murtagh ] * Add missing onnx.proto file to -dev package -- Mo Zhou <email address hidden> Thu, 07 Jul 2022 21:58:27 -0700
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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| onnx_1.12.0-2.dsc | 2.4 KiB | 96e5a728734b8313ee8fcda8c0a2bf5991de35fe7263107f8f86ace6b9c4fdbd |
| onnx_1.12.0.orig.tar.gz | 9.1 MiB | 052ad3d5dad358a33606e0fc89483f8150bb0655c99b12a43aa58b5b7f0cc507 |
| onnx_1.12.0-2.debian.tar.xz | 11.3 KiB | 1f37da4577d17f5bb0af4fc44e7a9ed9ce7a5406a8b86511817347556d7704cf |
Available diffs
- diff from 1.12.0-1 to 1.12.0-2 (580 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 kinetic.
No description available for libonnx1 in ubuntu kinetic.
- 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 kinetic.
No description available for libonnxifi-dbgsym in ubuntu kinetic.
- python3-onnx: No summary available for python3-onnx in ubuntu kinetic.
No description available for python3-onnx in ubuntu kinetic.
- python3-onnx-dbgsym: No summary available for python3-onnx-dbgsym in ubuntu kinetic.
No description available for python3-onnx-dbgsym in ubuntu kinetic.
