パッケージ: python3-onnx (1.20.0-3) [debports]
試験的な (experimental の) パッケージ
警告: このパッケージは experimental ディストリビューションのものです。つまり、おそらく不安定でバグがあり、それどころかデータの損失を起こすかもしれません。使用前には、変更履歴やその他の参照可能なドキュメントを必ず調べてください。
Open Neural Network Exchange (ONNX) (Python)
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 Python interface.
その他の python3-onnx 関連パッケージ
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- dep: libc6 (>= 2.38)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s4 (>= 4.1.1)
- GCC 共有ライブラリ
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- dep: libprotobuf-lite32t64 (>= 3.21.12)
- protocol buffers C++ library (lite version)
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- dep: libstdc++6 (>= 14)
- GNU 標準 C++ ライブラリ v3
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-ml-dtypes
- Several NumPy dtype extensions used in machine learning
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-protobuf
- Python 3 bindings for protocol buffers
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- dep: python3-typing-extensions
- Backported and Experimental Type Hints for Python