Result for C176C3939BE9D8A616899982C1B92D0B7CB5731E

Query result

Key Value
FileName./usr/share/licenses/libdnnl2/LICENSE
FileSize11488
MD58E17C0F9656EBAF0C380D9B22707C846
SHA-1C176C3939BE9D8A616899982C1B92D0B7CB5731E
SHA-25604DB34A48DF07F67BBE6878186F6C84F5F7B204BCF1E5C51E9E484CCCADE42A6
SSDEEP192:fU6G5KXSD9VYUKhu1JVF9hFGvV/QiGkS594drFjuHYx5dvTrLh87HbHi:M9vlKM1zJlFvmNz5VrK7Hm
TLSHT11232426EBB48037706C202A2AB8754CBF21E903F3B552568354CC1681F5BB6593FB6DA
tar:gnameroot
tar:unameroot
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD590F2E2716DAC723542927E03D2130797
PackageArchaarch64
PackageDescriptionone-API Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN:
PackageMaintainerFedora Project
PackageNameonednn
PackageRelease2.fc34
PackageVersion2.1
SHA-1AFA93851EA5B55D5928AD274E7D96A3B9675826D
SHA-256D90EB727007D77C96D896CE9EC41AD4B0CD3012593C9072DD82A02D4774E7CF0
Key Value
MD5EC7F7446250CC80CFEC39D31B613D820
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibdnnl2
PackageRelease2.5
PackageVersion2.2.4
SHA-1402E3C64FC3196050A7F8F4347582514C5EEB0CC
SHA-2565F319920BE3DF3CEA15D287DCA8FC53BA86818AD3208AD02365E1A8A9507A7F5
Key Value
MD57F33035E95DA59F7C03DC7AB4D428EE6
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibdnnl2
PackageReleasebp154.1.58
PackageVersion2.2.4
SHA-10DE845167D780FB8C416168387401F2CCDD2DB48
SHA-2566D5123F82D4C544B95E267053AF18CE5D0436C144D2E8222871F54F18A47E279
Key Value
MD5D60E0119F28C1AD4D7DC4DB7A5CF2EF8
PackageArchx86_64
PackageDescriptionone-API Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN:
PackageMaintainerFedora Project
PackageNameonednn
PackageRelease2.fc34
PackageVersion2.1
SHA-1BE5B2D2A15C790F25843E56A4CAB4C89162CC818
SHA-2566C5E2FF1B0A0365AB11D5AB955D4F499755145230A4FB8CEDC19340BAECBD3C3
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//onednn-2.1-1-x86_64.pkg.tar.zst
MD5561E1CF99422FB7EFBA47DF72D60842F
SHA-19761C68632C6E378862F3F5952AAAF49AF343DD8
SHA-256B95260171AE523B6A99B6BEF7BC06BC38B132FFDE49DF19FEB8FC1B6BA3C11F1
SSDEEP196608:Qd8AmcpU7tS/GKPbSmja4cVzfrVtYIzTNNDyI20+7lLZ0sBobPnrtR8WjGnxyLpk:Ynp8E/GiemaDhtv5NDyI2bObPnZR8Wjs
TLSHT17EB6331179F7071E560C62209BBFE71CD5573A21437C2800AA5AB63E7E96AE4A4FC34F