Result for 00D0BFB29B2B93A2281014A40FC5C24C152086D8

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/torch/quantization/__pycache__/__init__.cpython-39.pyc
FileSize1120
MD57471CC550DDD7F6FE771CD903C21F081
SHA-100D0BFB29B2B93A2281014A40FC5C24C152086D8
SHA-25608B106017335888031AABE417CC865C072BAA749A259EC112622BEBDAC6BA76E
SSDEEP24:A79JkH/y6g5ANd11Bqx+u+eK70kFDFBebz5CcPkmEOmukwf:A7W/ouLqxx+nTYPoVukwf
TLSHT1BA21F0537AC6E63FF4A0B437940E0314572B57F8B7D6B2006B88709A09069622B64E28
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