套件：libmkldnn0（0.17.4-1）
Intel Math Kernel Library for Deep Neural Networks (lib)
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.
One can choose to build Intel MKL-DNN without binary dependency. The resulting version will be fully functional, however performance of certain convolution shapes and sizes and inner product relying on SGEMM function may be suboptimal.
This package contains the shared object.
其他與 libmkldnn0 有關的套件
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- dep: libc6 (>= 2.27)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc1 (>= 1:3.0)
- GCC 支援函式庫
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- dep: libgomp1 (>= 4.9)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 4.8)
- GNU Standard C++ Library v3