Result for 00946870C00E84EC459CCCC60CA7CBD9B3EE0E27

Query result

Key Value
FileName./usr/share/doc/libmkldnn-dev/html/structdnnl_1_1convolution__backward__data_1_1primitive__desc-members.html
FileSize21644
MD57BD52C13652F0240CB31C37E53A5E519
SHA-100946870C00E84EC459CCCC60CA7CBD9B3EE0E27
SHA-2561D14FB41DC786A395463241BB8A8E82E4ECBC198C16A9BB4447A7B04DABFAA2A
SSDEEP192:JmHu96rBniwnyBrMAD4R0bl7up5QSnyfLg/0/nYR:JmHWIBnHnyRwKVSnyfc/oW
TLSHT19DA28D8865F095A2806377EED98F3FC9B0C2C718F3605A69F9FD269A4349F50B362447
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

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