Result for 0090BF5BA54131A94E8B5B9CC7EF91BC8AF20242

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/torch/quantization/__pycache__/fuse_modules.cpython-36.pyc
FileSize6189
MD52ECBEFB83B107CB60DE8CC0A4C44EE53
SHA-10090BF5BA54131A94E8B5B9CC7EF91BC8AF20242
SHA-256A394C7C95F9DE369D5E6E46D1C6A81F6A12E893D691FE94590CD6741A077D176
SSDEEP96:QH4tXhhEpoJ3ArK61hqitb/2JjoJ3CwTEG0H7QUGVtX9IFGYHkJfDZIFlBZqv1pA:Zt0K6zTP0H7QBVx9wGYH4IZqnVkkbXsR
TLSHT1DDD1B58329F13B63EAABB1F2F08F51944FA4D1AB5A915620343ED1E02F46534A6F265C
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD537B97A3984A376D21CFD7F80504B577F
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
PackageNamepython3-torch
PackageReleasebp153.1.19
PackageVersion1.4.0
SHA-18037E19BBE7BBC7AEFB5F17EF3D7896B17120C7D
SHA-256B983AC7B6F8D1022DD4F6D8F928BBCEB9D4F3764A549CBF45E90A13FAA48FE3C
Key Value
MD5A1560ECFF8C61F0D7F2D1E9F6C8DA1A5
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
PackageNamepython3-torch
PackageReleaselp152.3.2
PackageVersion1.4.0
SHA-17C6979C45458C50896D195546B58742DAA0D5A69
SHA-25670211BB6981DA8E1FA455CEDB7046C839FB4DB23C40B7E8BFD6339A201C0F022
Key Value
MD54C50A30448D3F8BBEE4EFA9177C613E2
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
PackageNamepython3-torch
PackageReleasebp155.2.12
PackageVersion1.4.0
SHA-1E7B4652B6A9ECFBD7169128F74D54753516F250C
SHA-2564DA3ED90E600D8B9F07971264647ED085BCDE487DF329D8700EFD492F7CBE3DE
Key Value
MD5EB34B20B85880F214E57EBC361F09690
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
PackageNamepython3-torch
PackageReleasebp154.1.28
PackageVersion1.4.0
SHA-1E4B02BA7888955031165FED55943C06FA041460A
SHA-256FBDCD67DDA995085E9B8F225A79BF4684B47E59E1219CA2F756F844D80998577