_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
onnxruntime 1.22.0
Dependencies: abseil-cpp@20250127.1 boost@1.83.0 cpuinfo@0.0-5.b73ae6c dlpack@1.1 c++-gsl@4.2.0 date@3.0.1 eigen-for-onnxruntime@3.4.0-0.1d8b82b flatbuffers@23.5.26 googletest@1.12.1 nlohmann-json@3.12.0 onnx@1.17.0 protobuf@3.21.9 pybind11@2.13.6 re2@2024-07-02 safeint@3.0.28 zlib@1.3.1
Propagated dependencies: python-coloredlogs@10.0 python-flatbuffers@24.12.23 python-protobuf@3.20.3 python-sympy@1.13.3
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/microsoft/onnxruntime
Licenses: Expat
Synopsis: Cross-platform, high performance scoring engine for ML models
Description:

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.

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