Result for 7F74396C4E286BBECA1AC841B61689CD2767CC9C

Query result

Key Value
FileName./usr/lib64/libdnnl.so
FileSize12
MD5651D6228202FE03E31219D472D3FB7C2
SHA-17F74396C4E286BBECA1AC841B61689CD2767CC9C
SHA-2562EE1D399C52A252A2E5984FEA3FD9BAADEA84DF3104785DF52A6F20016DCACA3
SSDEEP3:EBBiCn:EniCn
TLSH
hashlookup:parent-total8
hashlookup:trust90

Network graph view

Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
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
MD5FD580E151B3235C5728F49E969544B38
PackageArchaarch64
PackageDescriptionThe onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainerFedora Project
PackageNameonednn-devel
PackageRelease2.fc34
PackageVersion2.1
SHA-1CE6A518758966A4E407098BD8978F3FBB04D855C
SHA-256977FF6B0A0E22FAE97D1BD9F5D8609B159F77E6CB75007C0EA3B5BF6804CDDE4
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
MD5D637E063F70F186A8B3D8AED1F1267EF
PackageArchx86_64
PackageDescriptionThe onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainerFedora Project
PackageNameonednn-devel
PackageRelease2.fc34
PackageVersion2.1
SHA-16C0781E03931EE71B16B346FA55C43128E00BDCF
SHA-25692528F517899BE59B3304F4A66A6978EA660D8489FD923F8599536120EEF623D