Result for 00CAE5B73AC95E936D835082237BB2CED0FF5DFB

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/torch/backends/xnnpack/__pycache__/__init__.cpython-39.opt-1.pyc
FileSize1438
MD5C6500CD943D09A190E0AAB9004925BD0
SHA-100CAE5B73AC95E936D835082237BB2CED0FF5DFB
SHA-256FBE2F17E59C45D60B33938A1C1AEAED033FD2CC6FF683E5CADEF8A20FBD3FE3F
SSDEEP24:6y3HiarHRA37JpsrLdeTeSxUHf6wqqiC/IsVTUA2Ls+956l2GOLWvqqd:6WHjDR4kpSSywqqF/IsVgAms72GTvqqd
TLSHT1BD21FDC1809CBE2AFD7DF27E90B70328246486375708E22B2A55902F3D473DD8836E6D
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
MD5FFF0A8FA8E20A7D7A0C375F937F698EF
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
PackageNamepython39-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-16D1984557E9C10A37136B5F81B0AF3A21E7022A4
SHA-25680D5D462D5ADAE87AA8214167A5304B65F1ADCB29AED1828F644C498F6F4D83F