Result for 0056FDECB8AFD4C07289DAFC8CA7370B52C70757

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/caffe2/experiments/python/__pycache__/SparseTransformer.cpython-310.pyc
FileSize4441
MD5B44BCD4B483D3DD6FECE91413DE87603
SHA-10056FDECB8AFD4C07289DAFC8CA7370B52C70757
SHA-256350C10080AE97193EAF42371DDA2503569587A8186D5134AB90BE40029EBA786
SSDEEP96:xvSvKm/aJ8GNmUs2aTwKGGD8YQPYUQ273g8PJd:kvKmSJ8lUBWPGGDrpqTPJd
TLSHT1B291FAD11A086E2BFCE7F27D041703148297A6F79684D146350EE7B4CF061DA1E25B99
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