Package: onnxruntime-tools (1.16.3+dfsg-3)

Links for onnxruntime-tools

Debian Resources:

Download Source Package onnxruntime:

Maintainers:

Debian Deep Learning Team (QA Page, Mail Archive)
Mo Zhou (QA Page)
Dylan Aïssi (QA Page)

External Resources:

Homepage [github.com]

Similar packages:

cross-platform inference and training ML accelerator (tools)

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 tools.

Other Packages Related to onnxruntime-tools

depends

recommends

suggests

enhances

dep: libc6 (>= 2.38)

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
dep: libcpuinfo0 (>= 0.0~git20220819.8ec7bd9) [not riscv64]

CPU INFOrmation library (shared object)
dep: libgcc-s1 (>= 4.0)

GCC support library
dep: libonnx1t64 (>= 1.14.1)

Open Neural Network Exchange (ONNX) (libs)
dep: libprotobuf32t64 (>= 3.21.12)

protocol buffers C++ library
dep: libpthreadpool0 (>= 0.0~git20200423.6acde9c)

pthread-based thread pool for C/C++
dep: libre2-10 (>= 20160901) [x32]

efficient, principled regular expression library
dep: libre2-11-absl20230802 [not x32]

virtual package provided by libre2-11
dep: libstdc++6 (>= 13.1)

GNU Standard C++ Library v3
dep: libxnnpack0 (>= 0.0~git20221221.51a9875)

High-efficiency floating-point neural network inference operators (libs)

Download onnxruntime-tools

Download for all available architectures
Architecture	Package Size	Installed Size	Files
amd64	3,446.0 kB	13,306.0 kB	[list of files]
arm64	2,880.4 kB	12,327.0 kB	[list of files]
armhf	3,080.6 kB	8,583.0 kB	[list of files]
riscv64	3,372.3 kB	11,167.0 kB	[list of files]
x32 (unofficial port)	3,420.7 kB	12,641.0 kB	[list of files]