Result for 50D569321AA81A487CEC56977CE7A32D0DC47040

Query result

Key Value
FileName./usr/include/mkldnn.h
FileSize935
MD5F1364DD8F0183151835DBC6C3291C04C
SHA-150D569321AA81A487CEC56977CE7A32D0DC47040
SHA-256047406D466616767E6990E87BA821CD355C92D4EE6809B36435DEC5477BA851F
SHA-5129A4FF2A957D90C1A51DCF93AB8447A9758E16B20BB226C3F347F4042BF6CE57480371BAA5D8DDC2FC4B9EF73B83B59422F82D0D0C25631924BDAFDA7610E2067
SSDEEP12:UPISI4IrMFj27JYCQ1U0E+7oZrHQknd7c53psfI0PUXeeMG/hcJ+AqphAFL:j4IrlSU0E+MHQk1cxpsfIdN/hcJ+dhoL
TLSHT152114D3D7E082E33078048873E0FA0CF910FE9EE221E5398745AB094127C2AB02EE1E0
insert-timestamp1645179956.9313436
mimetypetext/x-c
sourcesnap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_412
tar:gnameroot
tar:unameroot
hashlookup:parent-total32
hashlookup:trust100

Network graph view

Parents (Total: 32)

The searched file hash is included in 32 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.0-3-x86_64.pkg.tar.zst
MD52F71F682DA9885125268932EF2C349C5
SHA-103FBBF3803230035BC4AB52209A6D34CBC27DEA1
SHA-25613A5A4B232210563A23442F15C25BC7053AA733676928DA0FE9DEE765278C9CD
SSDEEP3145728:nIQR0L+Kddew4DI7QL8OGhIG7Ynqhcb5JtqYb14DcvAxV:nIfRajE0oOGSznqib5JtfQ4AxV
TLSHT1243833D9D8A684BE94F157B55868B3653CF95F2CEE2BCCCE28B628C04F295D280C0DD5
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-opt-2.4.1-6-x86_64.pkg.tar.zst
MD5877E18C66E45BA06BF94C68EAD4E9A23
SHA-10A46822C319EB167207858833340980E08FFB94F
SHA-2562AFD7F9E3DE312F39FD720BC99632D5030A1464BF7A6BEBA3494BB569DE7A0FC
SSDEEP3145728:nN9RzgSWaCsznp68TL94WwBh4JzhIsnDj0Q3Mmm/tVXFYuDW:nNDZksznF9maJDYQUDXFYYW
TLSHT1B64833D4CDA4C682FF6AF1796741958DE0B21CF08B3AF68AD48D20D4376F283446AD67
Key Value
MD57E80A5E79C5DAC548B63D5B5C98ADF9E
PackageArchx86_64
PackageDescriptionThe onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainerFedora Project
PackageNameonednn-devel
PackageRelease1.fc33
PackageVersion1.6
SHA-10AF817A9DD623D4C89557FBA50AEA4C16A2A2D50
SHA-256775EB62E19DD44E0C24EB64814EE3A4DA0A12DBCFC82271D5D810A2C8CE20443
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.1-6-x86_64.pkg.tar.zst
MD5FCE30B4D69993ABB10A348DB9652A3FB
SHA-11054632AB549CFB65C5178A728B11BDEC388129E
SHA-2560EA26D5754276C57F2F235FE3829515B52B3B0356F8FC7AF3503F14EA022B779
SSDEEP3145728:NUEuyToghhn7EC3GYK35UjybI7E46BOF0:BufEECwUjy146/
TLSHT1203833CEBD8B594BF2A4C7670B903E45597A4E40B81725FD5B1A07C6273A3C903BA8F1
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-opt-cuda-2.4.1-6-x86_64.pkg.tar.zst
MD511A0C30E24875B3F879469D487B62381
SHA-12318993D0D967203FA66B3761813484611577401
SHA-25617F9D10AECE0D4E0D439589B71ED503098EDF76AF2F8161B1F3F766D5ABC50BD
SSDEEP12582912:+cRCMe4/5KFAQp/TFVJ4A//CrLed/vseCYoYU:+cQW5cTSnrad/v0YoYU
TLSHT1472933DE26EB1D77FBCCA2789F651900A11127F0BB506A38F4D5344BB86FA91E108BD4
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-cuda-2.4.1-6-x86_64.pkg.tar.zst
MD5969411E270D3E5EA185CA75CBF225CAB
SHA-136F733EC740735350139936DBA68B6FB47647E40
SHA-2563BE8389605AED443CCFA97D5E59D7BA39225B6D9E161E1BCC52E75D40ED9C8CA
SSDEEP12582912:xwrfg4PwGwavpbihQ5rCqpf6/rA45fypH8G3W:xyg4PwG3NSRql6k45apcKW
TLSHT1321933E4BD434845DD295A30A6BA6D00EC31BB5AB645F0B68D393EE5FA3F7852402DCC
Key Value
MD57583CEB1BF06AAB950F72B4EEF28A57F
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
PackageRelease2.5
PackageVersion2.2.4
SHA-13F59FADF372E0939ED2DC2E51BB60126D999346D
SHA-256531DEE14F9598D82CF823CF8F02C7D214F44E3481A3A70825DD95F1D0C53631B
Key Value
FileSize88604
MD52178E39574E55A6E2E7A19C4F02E4C75
PackageDescriptiononeAPI Deep Neural Network Library (oneDNN) (dev) 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 header files, and symbol links to the shared object.
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamelibdnnl-dev
PackageSectionlibdevel
PackageVersion2.2.2+ds-2
SHA-14DCA5D8500F72331855CAA7ADEC2669B3996230F
SHA-2563B33BD0E5ED9A0E35F2143F0CC9B12A867F9E8811846CBE1ABA773E219D2F1DA
Key Value
MD5B5529E8FB638970CBAD9DD80A76A8552
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
PackageReleasebp154.1.58
PackageVersion2.2.4
SHA-16066497421CEEB4D53292AF6DC12F112C6EFD599
SHA-256BF791CD787979D6D2A314100C38799F71E1EF8416FBA96EAB06A8AA59902AA97
Key Value
MD5390C79B2C7FE477A4992156FC1FFD45D
PackageArchaarch64
PackageDescriptionThe onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainerFedora Project
PackageNameonednn-devel
PackageRelease1.fc33
PackageVersion1.6
SHA-167116D0E44D70682326EC58C3A8D01C3524CEF0D
SHA-2566157B4687CAD25BACA0EE8A5D2A065FE55AE2746AA445993CE2FB552A9DA0C83