Result for 00D98960B19C5F9A26991C9CC60B6E49872D8BCF

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/caffe2/python/layers/__pycache__/adaptive_weight.cpython-39.pyc
FileSize5387
MD5C624E0F9DB0F016B08E56740D207EFEB
SHA-100D98960B19C5F9A26991C9CC60B6E49872D8BCF
SHA-256E9309E7C201F63D23E12255B5FC18A0FF1F2D0B10610BA96B939E9CA04813D38
SSDEEP96:9i4qTPFCSDNoo816DWZQckQ0/eDePYxsIp0J1BgDkNLVmn:9APFtgCBQB0YrUC0LVmn
TLSHT124B1E6B06A0AB94FFE35F1F6041D33593065B3AA934E801F770CB5990FC8A80B67522D
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
MD5FFF0A8FA8E20A7D7A0C375F937F698EF
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
PackageNamepython39-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-16D1984557E9C10A37136B5F81B0AF3A21E7022A4
SHA-25680D5D462D5ADAE87AA8214167A5304B65F1ADCB29AED1828F644C498F6F4D83F