onednn
3.10Intel(R) Math Kernel Library for Deep Neural Networks
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for deep learning applications. The library accelerates deep learning applications and framework on Intel(R) architecture. Intel(R) MKL-DNN contains vectorized and threaded building blocks which you can use to implement deep neural networks (DNN) with C and C++ interfaces. DNN functionality optimized for Intel architecture is also included in Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation is not compatible with Intel MKL-DNN and does not include certain new and experimental features.
Origin: math/onednn
Category: math
Size: 64.0MiB
License: APACHE20
Maintainer: yuri@FreeBSD.org
Dependencies: 0 packages
Required by: 0 packages
Website: github.com/oneapi-src/oneDNN
$
pkg install onednnMore in math
py311-numpy1.26.4_11,1
The New Numeric Extension to PythonR4.5.2
Language for statistical computing and graphicsgmp6.3.0
Free library for arbitrary precision arithmeticopenblas0.3.30,2
Optimized BLAS library based on GotoBLAS2fftw33.3.10_5
Fast C routines to compute the Discrete Fourier Transformpy311-matplotlib3.8.0_2
Plotting library uses a syntax familiar to MATLAB userspy311-pandas2.3.3,1
Flexible, high-performance data analysis in Pythonmpfr4.2.2,1
Library for multiple-precision floating-point computationsoctave10.3.0_2
High-level interactive language for numerical computationsoctave-forge-base1.9_1
Octave-forge baseport for all packages