Result for 292D974443B6EE789D639752FD671C269A130F08

Query result

Key Value
FileNameusr/share/doc/OSPRay/third-party-programs-oneDNN.txt
FileSize24173
MD51BBC2CEB422F0537003474717D774F67
SHA-1292D974443B6EE789D639752FD671C269A130F08
SHA-256B51DFD7F7CC6FA6AB1B3536FA1EAFA18380448F779F440993D3640B1588B5BD4
SSDEEP384:Kri7CtnwgeEtSrsCrsRm1DLJrspstGFursCrsa16LzH3M9vlKM1zJlFvmNz5Vrs4:KVnttAlRDLJFGFur16LzHc9TzJlFvAfb
TLSHT185B2C66F7F4407770AC2C2A2669B68CAF21E903F7B172A04341DE1541B6B62DC2FF5A5
tar:gnameroot
tar:unameroot
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5766AE74641E7EA004B749E428FED9DAE
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
PackageRelease1.fc33
PackageVersion1.6
SHA-188495F2B6A714CE4FE9D4C26254957B82EFA04B4
SHA-256C53BBAA9BE5F6567FDDFC29D5269DEB375DA907CCAD27D9C8F522E6C2F69AFE8
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//openimagedenoise-1.3.0-1-x86_64.pkg.tar.zst
MD5FFDE6932574EFDF8B493EA08CCB9FB72
SHA-1AC751375D8E228CE4D9F956C306C51AB422009B3
SHA-256AAEC4B52832E2382420A8593449C9BDF7B9B843C7DC2119730539E1A998658B6
SSDEEP786432:5tNlPteVaWGRXLHPIyESjWhyapZgIUOgc:5tDPtSwbHdESSLjx7
TLSHT1B46733BDA9EF05A0FB0D8C948CFD434D0FED415D4F2EF00B099896D9A8C4C9B659A53A
Key Value
MD50FF754231988AD3FB19ED5F45234637C
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
PackageRelease1.fc33
PackageVersion1.6
SHA-1E5A0BBBAFA4F298B66D75D35F12AE18677D813D9
SHA-256CEE676340B2883B057516EFF4AFF564C0FB1416A09CEEB6593FF8A53321EB915
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//ospray-2.5.0-1-x86_64.pkg.tar.zst
MD5D2EDC006FEF6814A5A14F05953AC4C49
SHA-112C70E32852344E16E661B014F7340C84E597F53
SHA-2567952B3D7F875551989FAC32BD8F41027938006079DC6D61AAF201FEA56EA88C5
SSDEEP98304:r0PspRWd8gjPEYuD1y0OFWWr1eZQQ+Mo03Ot4MgKI9U:wkqdvjqynr1SQzSnEIS
TLSHT15616330B3CFAB504566F8CED06D2B68B96D50429077F24E58F2B01C877A6849FEE15F8