Result for 00240F4ED810BB9FB55F54D6999E77A5824101BD

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/torch/nn/intrinsic/quantized/__pycache__/__init__.cpython-39.pyc
FileSize424
MD5718C520D2B5D79CF2DC7F3BD7B00AAF4
SHA-100240F4ED810BB9FB55F54D6999E77A5824101BD
SHA-2564B04395A29D5AAD21D6A92DE35773507113C95D88310797C85833511B5ED3CC1
SSDEEP6:LO1RsZveu/iWlzUiRjMMJW/txS6npTtgNypYOO/5N8ebr/+K9M1RDwkp2:K+rfwiNFJwrLTt8yFOhN8efRubDP2
TLSHT1E2E0F153D500532DFD58F2B2A402A77901F921B8779D25037F4C71680D011B29411E1C
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