Result for 18134C481E3C2D9AECA91484D83C0D734686023C

Query result

Key Value
FileName./usr/lib64/cmake/dnnl/dnnl-targets.cmake
FileSize4419
MD51A3C35D5150483957AEBCF73618D431A
SHA-118134C481E3C2D9AECA91484D83C0D734686023C
SHA-256598F99EEE7E5E6B296C52CB445D26470FECCBA272F2138778CACA421DBE91844
SSDEEP96:ZNgbO5RU4ESNKuWFJ0mnbboh7hTN6wL+XmzbUM:XfVWFe97hTN6D+P
TLSHT12A912E6A4F5E89E103F3E7422AD0E39AD61099FB2B8710F4DE87B04C139D54C4ACF1A6
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5A6370DFDA87F46F6F782DE37DF640AC8
PackageArchx86_64
PackageDescriptionIntel Math Kernel Library for Deep Neural Networks (Intel 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 MKL-DNN.
PackageMaintainerhttps://bugs.opensuse.org
PackageNameonednn-devel
PackageReleasebp156.2.9
PackageVersion3.0.1
SHA-1C42DFBC758D168BA63426D9607633907B489A1D3
SHA-256A868EEDFDB0CB49F75326BC2A798136B0B71E3422D9E5208462A01746F2AD0A6