Result for 0019C1DA3ED8385FDBE96E88FDDE5222D64F85F5

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/caffe2/python/operator_test/__pycache__/pack_ops_test.cpython-38.pyc
FileSize8725
MD5D073DBA9E3265524C3F5629936F561B6
SHA-10019C1DA3ED8385FDBE96E88FDDE5222D64F85F5
SHA-256F816788F6AA10E005FE5593C0220A54F4417A4AA3A87C78D7B8E8E08AE56DA1C
SSDEEP192:xnib/b7+QVNT8GROGaUDvehlI44H5evUYsJP6GxGVv:szbicOGROKKhskvUZJSGxGVv
TLSHT13402B69E494B896BFF66F3BE45721490807CC7BC239151072421339ECD69BEA3F9E816
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
MD591D42436C11A9C545E383823EC6E575D
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
PackageNamepython38-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-12DCBCC0643BC260D886A69975796021438020D3B
SHA-256049F5F9511BF52C61E15446761DF5E17B192C8984542B5A71D457E5627B4D221