Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	E889BE51B5BF8A6CBA69F0DA4267064E
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. This package includes the required headers and library files to develop software with the Intel(R) MKL-DNN.
PackageMaintainer	https://bugs.opensuse.org
PackageName	mkl-dnn-devel
PackageRelease	lp152.1.2
PackageVersion	1.4
SHA-1	F573EA3939900BA72E7BABD594EDB49839A0EF02
SHA-256	E8FF1C714C5DEA6DE3EA7B53AB94890F7D16F86CCA914546B348AEC25B2E7293

Key	Value
MD5	7E80A5E79C5DAC548B63D5B5C98ADF9E
PackageArch	x86_64
PackageDescription	The onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainer	Fedora Project
PackageName	onednn-devel
PackageRelease	1.fc33
PackageVersion	1.6
SHA-1	0AF817A9DD623D4C89557FBA50AEA4C16A2A2D50
SHA-256	775EB62E19DD44E0C24EB64814EE3A4DA0A12DBCFC82271D5D810A2C8CE20443

Key	Value
MD5	EB765ECB4BFC878AC3A400EC1420DEBC
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. This package includes the required headers and library files to develop software with the Intel(R) MKL-DNN.
PackageMaintainer	https://bugs.opensuse.org
PackageName	onednn-devel
PackageRelease	bp153.1.13
PackageVersion	1.6.3
SHA-1	B5E45C893B3E6F0EC7EEE8409AC8663750C1EC81
SHA-256	A898D416578F4D31D74DEEF59D01EC215F29FE4C303A925BC87E76848357381B

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	B9C0339AF0DBA39BDFB6F262DDAF6E55
PackageArch	x86_64
PackageDescription	The onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainer	Fedora Project
PackageName	onednn-devel
PackageRelease	1.el8
PackageVersion	1.5
SHA-1	7788D325EE4BD24F791B1C4D63EBB77037A3FF6D
SHA-256	6FF7FAA0B005010F831DA5C70E95FD2EB4625238991F762FB2E17F6E74188586

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	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	390C79B2C7FE477A4992156FC1FFD45D
PackageArch	aarch64
PackageDescription	The onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainer	Fedora Project
PackageName	onednn-devel
PackageRelease	1.fc33
PackageVersion	1.6
SHA-1	67116D0E44D70682326EC58C3A8D01C3524CEF0D
SHA-256	6157B4687CAD25BACA0EE8A5D2A065FE55AE2746AA445993CE2FB552A9DA0C83

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

Key	Value
MD5	364C60D2EEF04AF89CD180E95A595E83
PackageArch	aarch64
PackageDescription	The onednn-devel package contains libraries and header files for developing applications that use onednn.
PackageMaintainer	Fedora Project
PackageName	onednn-devel
PackageRelease	1.el8
PackageVersion	1.5
SHA-1	696885B410E01D540D6B8D24F027A23B0A5E0204
SHA-256	09972BC4835F58A5318E253EECE54C8C8A7BA0184DA923FB417044F65B95B83D