Result for 0099C7B6A8FC4EA382DDB2D555C13FD317090DF5

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/caffe2/python/__pycache__/attention.cpython-39.opt-1.pyc
FileSize4990
MD5E7C6EC11DDD4FB438F4328BE5CD5A0B6
SHA-10099C7B6A8FC4EA382DDB2D555C13FD317090DF5
SHA-2560772B30416F8D710F7F50014F410D6D308295F55082AD766F116D76E51801D51
SSDEEP96:60K7AguS8jIZUu8PoqQYOp38OPZyky1XWdi0Y73CU8sFX:RK7Agu23sXg66sFX
TLSHT175A1A7FE98408969FD1BF7FDC74B861D2779C24AB759842A7E4012290C853F13D1ACA5
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