onnxruntime 1.20.1+dfsg-ok2 source package in openKylin
Changelog
onnxruntime (1.20.1+dfsg-ok2) huanghe; urgency=medium * No-change reupload for openKylin 3.0. -- liuyihu <email address hidden> Fri, 24 Apr 2026 10:19:32 +0800
onnxruntime (1.20.1+dfsg-ok2) huanghe; urgency=medium * No-change reupload for openKylin 3.0. -- liuyihu <email address hidden> Fri, 24 Apr 2026 10:19:32 +0800
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Huanghe V3.0 | release | main | libs |
| File | Size | SHA-256 Checksum |
|---|---|---|
| onnxruntime_1.20.1+dfsg-ok2.tar.xz | 7.5 KiB | 40e52af2ac1912a6178de0394cdd24d1188187345b9fa56fb4e2e565c395d5d3 |
| onnxruntime_1.20.1+dfsg-ok2.dsc | 1.6 KiB | 2eed2004d39be5dd17258dc91215cdcdee55af2ef3afcfe109cac565669f5183 |
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.
.
This package provides the shared library.
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.
.
This package provides the development files for libonnxruntime.
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.
.
This package provides the onnxruntime Python bindings.