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[ Source: xnnpack  ]

Package: libxnnpack-dev (0.0~git20201221.e1ffe15-2.1)

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

XNNPACK is a highly optimized library of floating-point neural network inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not intended for direct use by deep learning practitioners and researchers; instead it provides low-level performance primitives for accelerating high-level machine learning frameworks, such as TensorFlow Lite, TensorFlow.js, PyTorch, and MediaPipe.

This package contains the development files.

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 11.8 kB105.0 kB [list of files]
arm64 11.8 kB105.0 kB [list of files]
armhf 11.8 kB105.0 kB [list of files]
i386 11.8 kB105.0 kB [list of files]
x32 (unofficial port) 11.8 kB105.0 kB [list of files]