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[ Source: xnnpack  ]

Package: libxnnpack0 (0.0~git20240821.87ee0b4-2)

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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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Architecture Package Size Installed Size Files
amd64 697.0 kB2,193.0 kB [list of files]
arm64 489.7 kB1,745.0 kB [list of files]
armhf 493.3 kB1,485.0 kB [list of files]
i386 676.1 kB2,429.0 kB [list of files]
riscv64 372.8 kB917.0 kB [list of files]