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[ Source: xnnpack  ]

Package: libxnnpack0 (0.0~git20220216.ae108ef-2)

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

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 shared object.

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 295.8 kB946.0 kB [list of files]
arm64 234.7 kB1,047.0 kB [list of files]
armhf 281.9 kB917.0 kB [list of files]
i386 291.5 kB1,033.0 kB [list of files]
riscv64 (unofficial port) 154.3 kB382.0 kB [list of files]
x32 (unofficial port) 299.6 kB917.0 kB [list of files]