Result for 00CB5B49A4CA0205594E729110976F4B77696877

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so
FileSize5840
MD514B3155B0ACF2DCB360EE7E592E6E7DA
SHA-100CB5B49A4CA0205594E729110976F4B77696877
SHA-2560B520CCBB051C91376811D5F2CE1AEB79F1C10FD06690715B6F58B8761C14DBF
SSDEEP24:RkwkUPsfXWPtmBWBihfhlNzdzLtO59dIaNWFLU6Gdw0RUHSKitIubBbbbsYEpGzM:R0GPtmBWBiVJzdXbF4bi0eyd1bo5Fv
TLSHT111C1F086DF60D8BFE53C423C987B033872B0A8DC071207273648A7712DD27982BA59CB
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
MD54C50A30448D3F8BBEE4EFA9177C613E2
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
PackageNamepython3-torch
PackageReleasebp155.2.12
PackageVersion1.4.0
SHA-1E7B4652B6A9ECFBD7169128F74D54753516F250C
SHA-2564DA3ED90E600D8B9F07971264647ED085BCDE487DF329D8700EFD492F7CBE3DE