Result for 00926394590B33BAB22F824DF2688AEDB0AEF45B

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/caffe2/python/operator_test/__pycache__/locally_connected_op_test.cpython-38.pyc
FileSize6358
MD53F5FB14EC6C1F5FFDEDBE33E8D048097
SHA-100926394590B33BAB22F824DF2688AEDB0AEF45B
SHA-2560969AB6271918A6DD4565CF75466AB5B1A432797BE4FD1B32A46F61564767756
SSDEEP192:wjsPpypymB7pOq/sF+t7HaAyEnB0F6DJUFQB0B:SOythpOq/sF+tzyEB0F6Na60B
TLSHT1D8D1EA896246EE2AF639F1B18C2B8A034E25B12C435524736D2162F2FD223DD7C547AF
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