Result for 00C0E20B6E91AD060B888FC67A4D7A75C963E9F3

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/torch/__pycache__/functional.cpython-310.pyc
FileSize39064
MD5F3446B7032019ED288C3F40C3563CEBF
SHA-100C0E20B6E91AD060B888FC67A4D7A75C963E9F3
SHA-256884D0C63B6AF8833D0AB9F582851BBBF10C136A2CA0E5952C865350961212BB4
SSDEEP768:FVq0RWutuBCEaSTPSEgct/yYJkSsiIr5u7zqzuHa3sSsYgPsFZzmDoBXrwWykOK/:FVBRWOyCKSE/yYJkSsiIr5Ga3sSsYRfD
TLSHT1FC03079ABBC11236F217F3F14DCF51A96720C1630759A42AB0AC10642F81BB8A376FDD
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

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