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	8E6972EABF4CD13D57F3FF5FD0871708
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	lp153.7.1
PackageVersion	1.5.1
SHA-1	928384F8D49A04D37B0C8BF9CBD941F13D255A27
SHA-256	B1A3EAFB96CE0FFF1626EC30483B8C311208BE30804E92CD6CD7F79ADCD509F0

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	7DB18EF7CA6C460C88FBAE21110F7189
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	lp154.7.2
PackageVersion	1.5.1
SHA-1	A0B9424C2C8A2769CF0505443D45511FFA2B35FC
SHA-256	37887CAEC7828F302B33493397B3A03FC97DF2FB1C71DA2C17427D225773C52C

Key	Value
MD5	FE12743E8551962CDFA3715E76EAF49F
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	CC3E758A016ECB31009064362921F8611DF8A5B7
SHA-256	864A7D7E8DBD2CBCA4FA8A81CE55680A027383462E8A59C7EE8A5DDBF11E3021

Key	Value
MD5	95A642E97842F883CB336D40C394CE7F
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	A4C469E83EB223ED8667D81460EDD6861B698A98
SHA-256	7E17FE979C675AFC5EE3C4AEF2B2D4FDDA1CFE0A3A24A033206B38859130CB48

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