Result for 0169A2C9F2E43BEB3EA39E15947820112B95E1ED

Query result

Key Value
FileName./usr/share/doc/libmkldnn-dev/html/inherit_graph_49.png
FileSize2070
MD56C0E36FB41032BD5BDC67ECFB7BF07B7
SHA-10169A2C9F2E43BEB3EA39E15947820112B95E1ED
SHA-256F5AD5E53625647F7C7E2EF3F15EAF24078F95D1FBA2EA023A028E276BA45BFA3
SSDEEP48:HH14iPhmOekjNHg/1cswjA5JKjxGTtmqMoztE9+1J:nGiPQ/kxAchA/ixGTtmqMozGc
TLSHT186411A1A22546E33EB742C55EBDEC5701A250B0FCE5A184F4BDA9C15D0CC4C4946CFDA
hashlookup:parent-total4
hashlookup:trust70

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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
FileSize4721292
MD562D298A59CE4DF8D074C8BC47D334BB5
PackageDescriptiononeAPI Deep Neural Network Library (oneDNN) (doc) oneAPI 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. . This package contains the doxygen documentation.
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNameonednn-doc
PackageSectiondoc
PackageVersion2.0+ds-2
SHA-127BAF4ECB0126956BADDB75B75CD14BF26D3F609
SHA-25690F5377B1EC98A8FB1BF00DFBD05033709EA24A98F67C0B5D2770622251D2889
Key Value
FileSize4090832
MD5C5DEA8A519BF2F57B2D84360CD328D4D
PackageDescriptionIntel Math Kernel Library for Deep Neural Networks (doc) 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 doxygen documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibmkldnn-doc
PackageSectiondoc
PackageVersion2.0~beta4-1
SHA-16C7E6EBA448AC52C57E32AE1F9B79052D0FE0C6B
SHA-256C3A1B25D777D034C21DED4B5EFAC444FD26425462DDB22E978E781D17E0C5C6C
Key Value
FileSize4719624
MD5FD2631119FE0487D57CD216829721F9C
PackageDescriptiononeAPI Deep Neural Network Library (oneDNN) (doc) oneAPI 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. . This package contains the doxygen documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNameonednn-doc
PackageSectiondoc
PackageVersion2.0+ds-2
SHA-10DBA81DC81E13F717878DD4AF5A2B447516AD4E3
SHA-25627116DF8398466437F9A10D6E59CCB9B3E86E2E3D001FBF7D9A725FD9A944696
Key Value
FileSize4880720
MD55702024AE2CC1CCAC3F8773B67E57C42
PackageDescriptiononeAPI Deep Neural Network Library (oneDNN) (doc) oneAPI 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. . This package contains the doxygen documentation.
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNameonednn-doc
PackageSectiondoc
PackageVersion2.2.2+ds-2
SHA-18D6972C3A855FC2C4D2034C967E55257FDFA70C1
SHA-2563CCE14BAA0A54FFA41BABAE51CB5A702F8C868020960FDF1FBA428146C5B43C6