Result for 00C662F22F83AE2109C2D1788B46D52B36A14C58

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Parent (17)

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Key Value
FileName./usr/lib64/python3.6/site-packages/caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py
FileSize11668
MD505A67E554B52ECEF4EE54A03E79D4CAB
SHA-100C662F22F83AE2109C2D1788B46D52B36A14C58
SHA-256EF2CF0B4FF110E7B9E2B6F9F82457B73CD7BA114F2599A439A46C03A12DFB4B4
SSDEEP96:uhAh1I55rk8wjqsBdgJhnJy2qP1V1Ym9uJT5rhdJBrqZjoayJD1VgeuA:uy8hsLgJZJQuRdJejotD15uA
TLSHT1B232309694D0102453B3B5F70AC64F44225D2173AEC0B8167BACAA605F4D92FF3B5F7A
hashlookup:parent-total17
hashlookup:trust100

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Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD531DB9855E51EEBA03B3DB42448ED336D
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
PackageNamepython3-torch
PackageReleaselp153.7.7
PackageVersion1.5.1
SHA-129B93714AC929B47B92686AF7BE429B747ABB3F9
SHA-256675A3BB0AB57AF6B4CF1F17F0B0F10158B734D9076AB5E2CE6A6136E1B7AA23F
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
Key Value
MD535D3694568DFCB6711A22776821BAC0A
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
PackageNamepython3-torch
PackageReleaselp151.5.1
PackageVersion1.5.1
SHA-13F8B09D13C33A7A1976033674F4B28DEB92BC823
SHA-25631C9F585CE24936EA9973F98F84E514C55A07D9F15FCD994E5F2B099AA19DDC4
Key Value
MD5AB15BC753718C600B4437957FB392651
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
PackageNamepython3-torch
PackageReleaselp152.7.5
PackageVersion1.5.1
SHA-145C319688DF834314655652B2D9E92ACD89BC900
SHA-25655DF06FD049D49D3D09B7344A38E165C8D039CF6CB27F3776D1E31A03F33D460
Key Value
MD510F192A7E9100D366E4DA02FE22253FE
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
PackageNamepython3-torch
PackageRelease7.3
PackageVersion1.5.1
SHA-1460B429E141AD88F31518851B8A0D666DD26547D
SHA-256C32C52FA1632AB0DA7670E3F3A1532F8DC2C8D36D286C1C0223A20E6BCF09904
Key Value
MD5B94C0471341A786C52100C671FA95ADE
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
PackageNamepython310-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-14D770A48B4DB8D46F1832A503EFF02FC030554EA
SHA-256FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34
Key Value
MD575742BEF3B1A868BA7AA6F88A03408F9
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
PackageNamepython3-torch
PackageRelease7.5
PackageVersion1.5.1
SHA-1605E2ECF86556BFE6F96850474A05FFDE3CE486C
SHA-2565E935B9BFE77A0FED74A99735456DFDB3E725DCB6BA0EA806D09DA708E8E1E89
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
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
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





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