Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F6601C550F872726144133514DDC0933
PackageArch	aarch64
PackageDescription	one-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:
PackageMaintainer	Fedora Project
PackageName	onednn
PackageRelease	1.el8
PackageVersion	1.5
SHA-1	80FDF08CA8724E09B81065825DF4161EF639D406
SHA-256	7BD48EC080BDEF700BDD826F013CFA6787AFD8F52AD79E0DFC6EC9C280CEBF6A

Key	Value
MD5	609C22E93327B07FB5EE247E0EF54AEE
PackageArch	x86_64
PackageDescription	one-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:
PackageMaintainer	Fedora Project
PackageName	onednn
PackageRelease	1.el8
PackageVersion	1.5
SHA-1	8BF68CEECE2D29B15E61FA5AEB79CD69A1169E45
SHA-256	92D086083239B0CB7077C32D825E7401DB29B491BB86F3D54C6E42315F378D16

Key	Value
MD5	0445117EF58B6B7831EBF13A202E0724
PackageArch	x86_64
PackageDescription	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 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libdnnl1
PackageRelease	bp153.1.13
PackageVersion	1.6.3
SHA-1	321A87B71255A3D72379D6BCF0B4C872AE900AF5
SHA-256	588AD65C09293D4ABBBCB9502D1347916C49397ACB8A8B9F0A4829B2D9CFCAC1

Key	Value
MD5	766AE74641E7EA004B749E428FED9DAE
PackageArch	aarch64
PackageDescription	one-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:
PackageMaintainer	Fedora Project
PackageName	onednn
PackageRelease	1.fc33
PackageVersion	1.6
SHA-1	88495F2B6A714CE4FE9D4C26254957B82EFA04B4
SHA-256	C53BBAA9BE5F6567FDDFC29D5269DEB375DA907CCAD27D9C8F522E6C2F69AFE8

Key	Value
MD5	DD1D194B20611E2A345AC1745A276689
PackageArch	x86_64
PackageDescription	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 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libdnnl1
PackageRelease	lp152.1.2
PackageVersion	1.4
SHA-1	CC1012E7F03E16D888F6378A68574781652DE632
SHA-256	4F66A2D57AC7076C589C06CD1A0012EF82F5418C55C077E68EFA9D10493D08A4

Key	Value
MD5	0FF754231988AD3FB19ED5F45234637C
PackageArch	x86_64
PackageDescription	one-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:
PackageMaintainer	Fedora Project
PackageName	onednn
PackageRelease	1.fc33
PackageVersion	1.6
SHA-1	E5A0BBBAFA4F298B66D75D35F12AE18677D813D9
SHA-256	CEE676340B2883B057516EFF4AFF564C0FB1416A09CEEB6593FF8A53321EB915