openKylin onnxruntime package

onnxruntime 1.20.1+dfsg-ok1 source package in openKylin

Changelog

onnxruntime (1.20.1+dfsg-ok1) v101; urgency=medium

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 -- liuyihu <email address hidden>  Sat, 24 May 2025 06:17:00 +0800

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Uploaded by:
liuyihu
Uploaded to:
Nile V2.0
Original maintainer:
kylin
Architectures:
amd64
Section:
libdevel
Urgency:
Medium Urgency

Publishing See full publishing history

Series Pocket Published Component Section
Nile.bedrock release main libs
Nile V2.0 proposed main libs

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File Size SHA-256 Checksum
onnxruntime_1.20.1+dfsg-ok1.tar.xz 7.7 KiB 5303b2d5defcaa9e09b60655ed13177264a4e98a2ef680b0c26a2fb699b0a115
onnxruntime_1.20.1+dfsg-ok1.dsc 1.4 KiB 37dc2a5a4641c49eb80b91163093bda3c1f052d67a06bc4aaaa66c6191f14455

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Binary packages built by this source

libonnxruntime: cross-platform inference and training ML accelerator (shared lib)

 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.

libonnxruntime-dev: cross-platform inference and training ML accelerator (dev files)

 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.

python3-onnxruntime: cross-platform inference and training ML accelerator (Python bindings)

 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.