Result for 004398C20B7BB29EAD6EF66ED746E31FBD9022EE

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/caffe2/quantization/server/__pycache__/fully_connected_fp16_test.cpython-38.opt-1.pyc
FileSize2583
MD519908CE56E35C8408764AC03F0CB742C
SHA-1004398C20B7BB29EAD6EF66ED746E31FBD9022EE
SHA-256211B1FF78C8395DD1A83A9DA062C0B944328F1BBB823B49CE12D9CD7EC42C9EA
SSDEEP48:98Cd2NZpJR8Gr1RZCnsMMalF1azJlcEkXg:mhD1r1PhMMazcz5kXg
TLSHT1B851C682590BA9AAFEADF6F48C4C022155E9438DA78618737B9CE3744F551D90C593D0
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