Parents (Total: 49)

The searched file hash is included in 49 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	01094331C315996BD9740D19E85E15A36C1C2286
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695
snap-name	root-framework
snap-publisher-id	VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-11-27T06:22:05.033990Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.0-3-x86_64.pkg.tar.zst
MD5	2F71F682DA9885125268932EF2C349C5
SHA-1	03FBBF3803230035BC4AB52209A6D34CBC27DEA1
SHA-256	13A5A4B232210563A23442F15C25BC7053AA733676928DA0FE9DEE765278C9CD
SSDEEP	3145728:nIQR0L+Kddew4DI7QL8OGhIG7Ynqhcb5JtqYb14DcvAxV:nIfRajE0oOGSznqib5JtfQ4AxV
TLSH	T1243833D9D8A684BE94F157B55868B3653CF95F2CEE2BCCCE28B628C04F295D280C0DD5

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//tensorflow-opt-2.4.1-6-x86_64.pkg.tar.zst
MD5	877E18C66E45BA06BF94C68EAD4E9A23
SHA-1	0A46822C319EB167207858833340980E08FFB94F
SHA-256	2AFD7F9E3DE312F39FD720BC99632D5030A1464BF7A6BEBA3494BB569DE7A0FC
SSDEEP	3145728:nN9RzgSWaCsznp68TL94WwBh4JzhIsnDj0Q3Mmm/tVXFYuDW:nNDZksznF9maJDYQUDXFYYW
TLSH	T1B64833D4CDA4C682FF6AF1796741958DE0B21CF08B3AF68AD48D20D4376F283446AD67

Key	Value
SHA-1	0BD43A023CD2ABA0D757FE61CEADD4FD43C8C403
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620
snap-name	root-framework
snap-publisher-id	VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-11-27T06:22:05.033990Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap

Key	Value
MD5	7974BF6A6864DEC0B30CA02BC534B272
PackageArch	x86_64
PackageDescription	This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides necessary headers for the C/C++ Api
PackageMaintainer	https://bugs.opensuse.org
PackageName	tensorflow2-lite-devel
PackageRelease	bp154.1.26
PackageVersion	2.6.2
SHA-1	0C13CBAC888DFD96BA1D23893778A1050D11BC48
SHA-256	91C3F9B6DD49C45AD4D32A20F00EBD9CB423F5208D81D10C8BC46C9B24A23E28

Key	Value
FileSize	516172
MD5	5B1D205DBACF616ABEB1ABD4CFC70368
PackageDescription	small self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libgemmlowp-dev
PackageSection	libdevel
PackageVersion	0.0~git20190128.58825b1-1
SHA-1	0CC04836FE89DBC03C7049AFC92DEC02BF64ADCF
SHA-256	D85992F2A7813D46B8314FD3EBEF776748775095C639725772CEF4C94A23609C

Key	Value
SHA-1	0D1449986F6E37C3B72DB99134F8BB709C2242BD
snap-authority	canonical
snap-filename	jtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535.snap
snap-id	jtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535
snap-name	weebl-tools
snap-publisher-id	G1rqdx35XwIQVfWVmEqirmnuYKCXHT66
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2019-07-31T16:57:59.595562Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/jtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535.snap

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.1-6-x86_64.pkg.tar.zst
MD5	FCE30B4D69993ABB10A348DB9652A3FB
SHA-1	1054632AB549CFB65C5178A728B11BDEC388129E
SHA-256	0EA26D5754276C57F2F235FE3829515B52B3B0356F8FC7AF3503F14EA022B779
SSDEEP	3145728:NUEuyToghhn7EC3GYK35UjybI7E46BOF0:BufEECwUjy146/
TLSH	T1203833CEBD8B594BF2A4C7670B903E45597A4E40B81725FD5B1A07C6273A3C903BA8F1

Key	Value
FileSize	519536
MD5	00460B11C56E1CAC704B0C8EB3246059
PackageDescription	small self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libgemmlowp-dev
PackageSection	libdevel
PackageVersion	0.0~git20200506.fda83bd-1
SHA-1	1079E722D4B108F5C6B5186FA4695D2F8139DF83
SHA-256	CA5271ED5F8E15459E0AC9AC122DEBFC0DAF420388A8BA42A914857BE1B88FCE

Key	Value
FileSize	519532
MD5	7F74EDF145605E5B76C6631B6C95B636
PackageDescription	small self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libgemmlowp-dev
PackageSection	libdevel
PackageVersion	0.0~git20200506.fda83bd-1
SHA-1	2169FA7A04A717259F957C72CFD1AB9DD9DEBD1B
SHA-256	8EB6B769DBDD4C020124DF017DBCA203C035000DF2E9F94B6619CA8A6405FB97