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[ Source: xnnpack  ]

Package: libxnnpack0.20241108 (0.0~git20241108.4ea82e5-2)

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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 library.

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Architecture Package Size Installed Size Files
amd64 637.5 kB2,105.0 kB [list of files]
arm64 347.3 kB1,176.0 kB [list of files]
armhf 367.0 kB1,109.0 kB [list of files]
i386 614.4 kB2,232.0 kB [list of files]
riscv64 300.3 kB740.0 kB [list of files]
x32 (unofficial port) 639.6 kB2,037.0 kB [list of files]