Parents (Total: 2)
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key |
Value |
| FileSize | 69728 |
| MD5 | 9CCCDDEB016D4BFFEA1A1C9636C42C59 |
| PackageDescription | Intel Math Kernel Library for Deep Neural Networks (dev)
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.
.
This package contains the header files, and symbol links to the shared object. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | libmkldnn-dev |
| PackageSection | libdevel |
| PackageVersion | 2.0~beta4-1 |
| SHA-1 | D7111D4E054AAC93BD39C618F39CA4625CB46F63 |
| SHA-256 | 5E2E95B44341F382E7456A7F0E1C61EC2D4F84DC5C27129AEA971C86C17F749B |
| Key |
Value |
| MD5 | EB765ECB4BFC878AC3A400EC1420DEBC |
| PackageArch | x86_64 |
| PackageDescription | 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 frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces.
This package includes the required headers and library files to develop software
with the Intel(R) MKL-DNN. |
| PackageMaintainer | https://bugs.opensuse.org |
| PackageName | onednn-devel |
| PackageRelease | bp153.1.13 |
| PackageVersion | 1.6.3 |
| SHA-1 | B5E45C893B3E6F0EC7EEE8409AC8663750C1EC81 |
| SHA-256 | A898D416578F4D31D74DEEF59D01EC215F29FE4C303A925BC87E76848357381B |