Result for 0013F98D69EC28BEEA690CE752591BFF04FE186E

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Parent (31)

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_lengths_range_fill.zip
FileSize1054
MD5B18952A54544E3891CA3C0C55B6FAF63
SHA-10013F98D69EC28BEEA690CE752591BFF04FE186E
SHA-256CE4CAF6E6189CA4A743D55103C275BFE86ECFED26359329A5BEDC0689EAD5042
SHA-512D02E207A7F1F406A8A671B2B9AFBA97D9CE118D5524B541265E5A5584D0D17582F554E4F7AEC9C5A90A127C8DF0D005D75C9CFA390DC4FA4C4C3C4ED3B98D9DD
SSDEEP24:9ScktS8TXmN1X1yzWcDfrRz2ouFwa/BAN1X1yzWcDfrRUAlolNj4xdct8V:9OA1XYtz1CwIg1XYtztZV
TLSHT1311102D94B4D2A25CBCE06F0C9DE42118214849003143DED27E2E0703A3DECA7B31B2E
insert-timestamp1727033030.7167118
mimetypeapplication/zip
sourcesnap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4
tar:gnameroot
tar:unameroot
hashlookup:parent-total31
hashlookup:trust100

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Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-11341D5F609E902191E39372AE258788D3754801C
snap-authoritycanonical
snap-filenamezBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap
snap-idzBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11
snap-nameargos-translate
snap-publisher-idJekjha002c3lNU2gyMR4NLFdd1AC6JeW
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-02-02T13:37:28.172106Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//python-pytorch-1.7.1-3-x86_64.pkg.tar.zst
MD59EB58CD005B160DA4876D3B3F8B3A40F
SHA-1149470158511DCFC40BD85290F57B171F6A9A466
SHA-256477FF0F69907AE80D7598702683F28405EB8B7F6E1A6AE3D21EEE02E35A393E4
SSDEEP786432:x4eQeSrcjK9NFaUYiUyMJoScsNSQWYJzwv+YlSvklbr6m50BZk2x5coz8Z+ONQgx:ytmeQxJoScISD+YSvzy8m2x5pM+z+
TLSHT1DED733B048B33179C776C56293DDBA1043B5CF28106120DBBDDBA44B3BED2B2679A5C9
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//python-pytorch-cuda-1.8.0-2-x86_64.pkg.tar.zst
MD563EA6C61AE7B7A6ACF5CD6E6DCCE9682
SHA-11631AC86E206C6ACF23A26A9CAF591BB3F6E3A74
SHA-2568684C18DE974582C9C06512BF6B0CEB4CEACDC97375A86200BC32F4715703A7A
SSDEEP6291456:CDRqb2D/B1PyJSSpHvR23nZv/rc3EVYARaR/gQITFwx5dCKHNPHDZQQ5CRki4kZC:CNz1wDpHvgp7ZYsaBgQITOx5dCIPDZdL
TLSHT1AD0933D1A9A5CE7AC134507BFBAA9F8C71E1C0F1231812327744F43ED88AADED255D4A
Key Value
MD531DB9855E51EEBA03B3DB42448ED336D
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageNamepython3-torch
PackageReleaselp153.7.7
PackageVersion1.5.1
SHA-129B93714AC929B47B92686AF7BE429B747ABB3F9
SHA-256675A3BB0AB57AF6B4CF1F17F0B0F10158B734D9076AB5E2CE6A6136E1B7AA23F
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//python-pytorch-opt-cuda-1.8.0-2-x86_64.pkg.tar.zst
MD58482BC91665FB009A86EEC653C425A39
SHA-12D69A39C1207DB6D1FFE31247A19C2C071B518B7
SHA-256089D4AB4700F49DECCEDD59C8F5613E33B3C28622A1B0D604D03CFE6F55ECFE5
SSDEEP6291456:NPyGZ501vXirZHjGiUnAG1AiV7lm54ZsJfZDz1y12PsUOQiUA6TI/HydybYyN9+3:p01vSJjGhnAalh1p7QLTcSdyvGeNyF
TLSHT1C90933F0EB85CEB0D37E313D1AE31A8AB18644F4C915067E02666575F28EBE9C069D1F
Key Value
MD591D42436C11A9C545E383823EC6E575D
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-12DCBCC0643BC260D886A69975796021438020D3B
SHA-256049F5F9511BF52C61E15446761DF5E17B192C8984542B5A71D457E5627B4D221
Key Value
MD535D3694568DFCB6711A22776821BAC0A
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageNamepython3-torch
PackageReleaselp151.5.1
PackageVersion1.5.1
SHA-13F8B09D13C33A7A1976033674F4B28DEB92BC823
SHA-25631C9F585CE24936EA9973F98F84E514C55A07D9F15FCD994E5F2B099AA19DDC4
Key Value
MD5AB15BC753718C600B4437957FB392651
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageNamepython3-torch
PackageReleaselp152.7.5
PackageVersion1.5.1
SHA-145C319688DF834314655652B2D9E92ACD89BC900
SHA-25655DF06FD049D49D3D09B7344A38E165C8D039CF6CB27F3776D1E31A03F33D460
Key Value
MD510F192A7E9100D366E4DA02FE22253FE
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageNamepython3-torch
PackageRelease7.3
PackageVersion1.5.1
SHA-1460B429E141AD88F31518851B8A0D666DD26547D
SHA-256C32C52FA1632AB0DA7670E3F3A1532F8DC2C8D36D286C1C0223A20E6BCF09904
Key Value
MD5B94C0471341A786C52100C671FA95ADE
PackageArchx86_64
PackageDescriptionPyTorch 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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-14D770A48B4DB8D46F1832A503EFF02FC030554EA
SHA-256FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34





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