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[ Source: xnnpack  ]

Package: libxnnpack0 (0.0~git20240229.fcbf55a-1~exp1)

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Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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 615.7 kB1,913.0 kB [list of files]
arm64 558.3 kB2,137.0 kB [list of files]
armhf 494.9 kB1,490.0 kB [list of files]
i386 619.4 kB2,154.0 kB [list of files]
ppc64 (unofficial port) 333.4 kB1,379.0 kB [list of files]
ppc64el 326.6 kB1,177.0 kB [list of files]
riscv64 331.2 kB817.0 kB [list of files]