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[ Source: xnnpack  ]

Package: libxnnpack0 (0.0~git20240821.87ee0b4-3 and others)

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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 Version Package Size Installed Size Files
amd64 0.0~git20240821.87ee0b4-3 700.3 kB2,197.0 kB [list of files]
arm64 0.0~git20240821.87ee0b4-3 485.4 kB1,745.0 kB [list of files]
armhf 0.0~git20240821.87ee0b4-3 493.2 kB1,489.0 kB [list of files]
i386 0.0~git20240821.87ee0b4-3 679.0 kB2,433.0 kB [list of files]
riscv64 0.0~git20240821.87ee0b4-3 374.9 kB921.0 kB [list of files]
x32 (unofficial port) 0.0~git20240821.87ee0b4-2 702.9 kB2,129.0 kB [list of files]