Result for 006946DB160FF91698A0E01A23A4AB02D367B7AA

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Parent (36)

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.10/site-packages/tensorflow/include/external/gemmlowp/fixedpoint/fixedpoint_avx.h
FileSize11184
MD585B7C1A2814F773854257D3C03CC9D17
SHA-1006946DB160FF91698A0E01A23A4AB02D367B7AA
SHA-256E6A6FA2A5FCF5207E152EB0AFF459003890D9632E9743377E291D57A3B4379C3
SHA-5123D443450B3DAFA611576121C7ADC98FCC10914B1528ED9C996B1B644E1C90D29E5E7FC4844E8BF61BE0A090CF22BA4B76203935234ACC083C60886EA950B545A
SSDEEP192:XAxHHHublQOkggposzn+U63IwZvUtXUV7LaS7AOVHZFJnbpa0jFot46Lg70LzCr9:X8HublQOkggposzn+U63IwZvUtXUV7L3
TLSHT16632BAF7D7F9BF9512A3C03F7602A465B6181A172BEC8E92B04C867F4F0606D9275E42
insert-timestamp1728248816.9112668
mimetypetext/x-c++
sourcesnap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936
tar:gnameroot
tar:unameroot
hashlookup:parent-total36
hashlookup:trust100

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Parents (Total: 36)

The searched file hash is included in 36 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-101094331C315996BD9740D19E85E15A36C1C2286
snap-authoritycanonical
snap-filenameXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
snap-idXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695
snap-nameroot-framework
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-11-27T06:22:05.033990Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.0-3-x86_64.pkg.tar.zst
MD52F71F682DA9885125268932EF2C349C5
SHA-103FBBF3803230035BC4AB52209A6D34CBC27DEA1
SHA-25613A5A4B232210563A23442F15C25BC7053AA733676928DA0FE9DEE765278C9CD
SSDEEP3145728:nIQR0L+Kddew4DI7QL8OGhIG7Ynqhcb5JtqYb14DcvAxV:nIfRajE0oOGSznqib5JtfQ4AxV
TLSHT1243833D9D8A684BE94F157B55868B3653CF95F2CEE2BCCCE28B628C04F295D280C0DD5
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-opt-2.4.1-6-x86_64.pkg.tar.zst
MD5877E18C66E45BA06BF94C68EAD4E9A23
SHA-10A46822C319EB167207858833340980E08FFB94F
SHA-2562AFD7F9E3DE312F39FD720BC99632D5030A1464BF7A6BEBA3494BB569DE7A0FC
SSDEEP3145728:nN9RzgSWaCsznp68TL94WwBh4JzhIsnDj0Q3Mmm/tVXFYuDW:nNDZksznF9maJDYQUDXFYYW
TLSHT1B64833D4CDA4C682FF6AF1796741958DE0B21CF08B3AF68AD48D20D4376F283446AD67
Key Value
SHA-10BD43A023CD2ABA0D757FE61CEADD4FD43C8C403
snap-authoritycanonical
snap-filenameXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap
snap-idXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620
snap-nameroot-framework
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-11-27T06:22:05.033990Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap
Key Value
MD57974BF6A6864DEC0B30CA02BC534B272
PackageArchx86_64
PackageDescriptionThis 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
PackageMaintainerhttps://bugs.opensuse.org
PackageNametensorflow2-lite-devel
PackageReleasebp154.1.26
PackageVersion2.6.2
SHA-10C13CBAC888DFD96BA1D23893778A1050D11BC48
SHA-25691C3F9B6DD49C45AD4D32A20F00EBD9CB423F5208D81D10C8BC46C9B24A23E28
Key Value
SHA-10D1449986F6E37C3B72DB99134F8BB709C2242BD
snap-authoritycanonical
snap-filenamejtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535.snap
snap-idjtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535
snap-nameweebl-tools
snap-publisher-idG1rqdx35XwIQVfWVmEqirmnuYKCXHT66
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2019-07-31T16:57:59.595562Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/jtBG52gsnZJLjq3VteGFOyMnEqtHAWAs_535.snap
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-2.4.1-6-x86_64.pkg.tar.zst
MD5FCE30B4D69993ABB10A348DB9652A3FB
SHA-11054632AB549CFB65C5178A728B11BDEC388129E
SHA-2560EA26D5754276C57F2F235FE3829515B52B3B0356F8FC7AF3503F14EA022B779
SSDEEP3145728:NUEuyToghhn7EC3GYK35UjybI7E46BOF0:BufEECwUjy146/
TLSHT1203833CEBD8B594BF2A4C7670B903E45597A4E40B81725FD5B1A07C6273A3C903BA8F1
Key Value
FileSize519536
MD500460B11C56E1CAC704B0C8EB3246059
PackageDescriptionsmall 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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20200506.fda83bd-1
SHA-11079E722D4B108F5C6B5186FA4695D2F8139DF83
SHA-256CA5271ED5F8E15459E0AC9AC122DEBFC0DAF420388A8BA42A914857BE1B88FCE
Key Value
FileSize519532
MD57F74EDF145605E5B76C6631B6C95B636
PackageDescriptionsmall 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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20200506.fda83bd-1
SHA-12169FA7A04A717259F957C72CFD1AB9DD9DEBD1B
SHA-2568EB6B769DBDD4C020124DF017DBCA203C035000DF2E9F94B6619CA8A6405FB97
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//tensorflow-opt-cuda-2.4.1-6-x86_64.pkg.tar.zst
MD511A0C30E24875B3F879469D487B62381
SHA-12318993D0D967203FA66B3761813484611577401
SHA-25617F9D10AECE0D4E0D439589B71ED503098EDF76AF2F8161B1F3F766D5ABC50BD
SSDEEP12582912:+cRCMe4/5KFAQp/TFVJ4A//CrLed/vseCYoYU:+cQW5cTSnrad/v0YoYU
TLSHT1472933DE26EB1D77FBCCA2789F651900A11127F0BB506A38F4D5344BB86FA91E108BD4





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