Result for 6AAB3C57609B5E32BCF077DBF395EC9F67DF73A3

Query result

Key Value
FileNameusr/share/doc/dnnl/THIRD-PARTY-PROGRAMS
FileSize27947
MD52BB510A4BB11CFB708CE340356593180
SHA-16AAB3C57609B5E32BCF077DBF395EC9F67DF73A3
SHA-256C6543A13BB6EBFA832D7B3393E5BC081D65D5F39B139128F2076D9AFFCC3480C
SSDEEP768:XVngtQlRDLZDGFrr16L4gE9TzJlFvAfhs8w88k4E:XOSlRZGrre4gE9fJIhstk4E
TLSHT1BCC2D72F7F4407770AC2C262B657A8CAF21D903F7B676A05341DD1681B7B82982FF594
tar:gnameroot
tar:unameroot
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

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
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