Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	31DB9855E51EEBA03B3DB42448ED336D
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp153.7.7
PackageVersion	1.5.1
SHA-1	29B93714AC929B47B92686AF7BE429B747ABB3F9
SHA-256	675A3BB0AB57AF6B4CF1F17F0B0F10158B734D9076AB5E2CE6A6136E1B7AA23F

Key	Value
MD5	91D42436C11A9C545E383823EC6E575D
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	2DCBCC0643BC260D886A69975796021438020D3B
SHA-256	049F5F9511BF52C61E15446761DF5E17B192C8984542B5A71D457E5627B4D221

Key	Value
MD5	35D3694568DFCB6711A22776821BAC0A
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp151.5.1
PackageVersion	1.5.1
SHA-1	3F8B09D13C33A7A1976033674F4B28DEB92BC823
SHA-256	31C9F585CE24936EA9973F98F84E514C55A07D9F15FCD994E5F2B099AA19DDC4

Key	Value
MD5	AB15BC753718C600B4437957FB392651
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp152.7.5
PackageVersion	1.5.1
SHA-1	45C319688DF834314655652B2D9E92ACD89BC900
SHA-256	55DF06FD049D49D3D09B7344A38E165C8D039CF6CB27F3776D1E31A03F33D460

Key	Value
MD5	10F192A7E9100D366E4DA02FE22253FE
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	7.3
PackageVersion	1.5.1
SHA-1	460B429E141AD88F31518851B8A0D666DD26547D
SHA-256	C32C52FA1632AB0DA7670E3F3A1532F8DC2C8D36D286C1C0223A20E6BCF09904

Key	Value
MD5	B94C0471341A786C52100C671FA95ADE
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python310-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	4D770A48B4DB8D46F1832A503EFF02FC030554EA
SHA-256	FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34

Key	Value
MD5	75742BEF3B1A868BA7AA6F88A03408F9
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	7.5
PackageVersion	1.5.1
SHA-1	605E2ECF86556BFE6F96850474A05FFDE3CE486C
SHA-256	5E935B9BFE77A0FED74A99735456DFDB3E725DCB6BA0EA806D09DA708E8E1E89

Key	Value
MD5	FFF0A8FA8E20A7D7A0C375F937F698EF
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python39-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	6D1984557E9C10A37136B5F81B0AF3A21E7022A4
SHA-256	80D5D462D5ADAE87AA8214167A5304B65F1ADCB29AED1828F644C498F6F4D83F

Key	Value
MD5	A1560ECFF8C61F0D7F2D1E9F6C8DA1A5
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-torch
PackageRelease	lp152.3.2
PackageVersion	1.4.0
SHA-1	7C6979C45458C50896D195546B58742DAA0D5A69
SHA-256	70211BB6981DA8E1FA455CEDB7046C839FB4DB23C40B7E8BFD6339A201C0F022

Key	Value
MD5	37B97A3984A376D21CFD7F80504B577F
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-torch
PackageRelease	bp153.1.19
PackageVersion	1.4.0
SHA-1	8037E19BBE7BBC7AEFB5F17EF3D7896B17120C7D
SHA-256	B983AC7B6F8D1022DD4F6D8F928BBCEB9D4F3764A549CBF45E90A13FAA48FE3C