Result for 0048234CBDDACA5C5E733D5A1B09244B5929734F

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/caffe2/contrib/nccl/__pycache__/__init__.cpython-38.pyc
FileSize157
MD5113ACECF91CEBDEEECF634781B1E81D2
SHA-10048234CBDDACA5C5E733D5A1B09244B5929734F
SHA-256BE7D5D201C7DEC07F1435D443006F760F3E4AE512DC871442DD658E437796563
SSDEEP3:UW+Lbl/Uleh/wZWenLWXSGNNKWMmoWrzaHNdyZRkcTit:X+vt8eh/wrlGiLor0yZD6
TLSHT184C02B00860073D7EC3DFC332120533800C1CE60F24B414F2B01729C4C043500C22500
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