Key | Value |
---|---|
MD5 | 31DB9855E51EEBA03B3DB42448ED336D |
PackageArch | x86_64 |
PackageDescription | PyTorch 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 |
PackageName | python3-torch |
PackageRelease | lp153.7.7 |
PackageVersion | 1.5.1 |
SHA-1 | 29B93714AC929B47B92686AF7BE429B747ABB3F9 |
SHA-256 | 675A3BB0AB57AF6B4CF1F17F0B0F10158B734D9076AB5E2CE6A6136E1B7AA23F |
hashlookup:children-total | 2941 |
hashlookup:trust | 50 |
The searched file hash includes 2941 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/__pycache__/net_builder.cpython-36.pyc |
FileSize | 26888 |
MD5 | C3B976B775742F8129935E9315D302BE |
SHA-1 | 00137CDB0642C6610B3FB2DC2EFDB99CFD5F3573 |
SHA-256 | 005F11A02F0E8C082FFB15FE149915CBB97DB0D6B4DAF43AE49FF236B49EFC6F |
SSDEEP | 768:u1EqVeiM82We4pQJkoud1BH7llM1OrsNnZRc0WMWzz1:uxgI2We4aGouFbl7skHPzh |
TLSH | T1A7C295E68E4E0A66FD52F7B4D47E53E413364437A789C552300D822F1F072A86DB6AE8 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_lengths_range_fill.zip |
FileSize | 1054 |
MD5 | B18952A54544E3891CA3C0C55B6FAF63 |
SHA-1 | 0013F98D69EC28BEEA690CE752591BFF04FE186E |
SHA-256 | CE4CAF6E6189CA4A743D55103C275BFE86ECFED26359329A5BEDC0689EAD5042 |
SHA-512 | D02E207A7F1F406A8A671B2B9AFBA97D9CE118D5524B541265E5A5584D0D17582F554E4F7AEC9C5A90A127C8DF0D005D75C9CFA390DC4FA4C4C3C4ED3B98D9DD |
SSDEEP | 24:9ScktS8TXmN1X1yzWcDfrRz2ouFwa/BAN1X1yzWcDfrRUAlolNj4xdct8V:9OA1XYtz1CwIg1XYtztZV |
TLSH | T1311102D94B4D2A25CBCE06F0C9DE42118214849003143DED27E2E0703A3DECA7B31B2E |
insert-timestamp | 1727033030.7167118 |
mimetype | application/zip |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/distributions/__pycache__/pareto.cpython-36.pyc |
FileSize | 2466 |
MD5 | F0F2F88141C3589A8617D0887E77F20C |
SHA-1 | 002C88E26620B64ECF8072EDCD7DACC9F69D8738 |
SHA-256 | 1174E6A09E73FF6661B93D5A1EA795A09CE1AD668C6DF022122CE5A6680F2BCE |
SSDEEP | 48:OhJOBUsTXySLJYlXGd6OVkM5Y6gxYLe48bYHySDln0TUrybKeUQD:OhJOBpyS9ceg+aRbYHjiPca |
TLSH | T1685185886A425B79FDDDF2FAC19706203A748237B785802B3D2D815A9F0F2C15DF138A |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/mkl/mkl_elementwise_add_op_test.py |
FileSize | 1346 |
MD5 | F3F139680A9540106AB4345D33061204 |
SHA-1 | 005B8243B685B27245282B6769D3478C4E2D1485 |
SHA-256 | 158680832916CD4BE997E27695A68EE381D988378D62C7C92A67231AF9450ADC |
SSDEEP | 24:1R2Rod8lfStHxkXuelMMU+EZxLRGouN3RGoE5V8XMntOpVS:P6odukulMZLruNXEG8tOfS |
TLSH | T1AA211247C043269597A7F0E88E8E2264133F51573F80355ABDBC86784F5E82C9739EA8 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/nn/utils/__pycache__/convert_parameters.cpython-36.pyc |
FileSize | 2187 |
MD5 | 373A6982F53AD91316E25797CF0F76F3 |
SHA-1 | 0070F10F0F33F7EAA2B7831921DD448726D603E8 |
SHA-256 | 9EC7B0B28C19039A456F8EBCC6595E748646B2DD35592BABD21D4224FE3A8629 |
SSDEEP | 48:SoPvzGXjlh6G4vm8mpS23ghv6YoHWXaj/9bnyzC:SGCXZXluiJWKRbye |
TLSH | T1A6412264361067BAE81B77B17E4D4023530A51FB7A891192368D0B253F8FCB4FB38B58 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/testing/_internal/__pycache__/common_methods_invocations.cpython-36.opt-1.pyc |
FileSize | 44174 |
MD5 | 8C8044DB841EA871B300DFE6EE9B6B3D |
SHA-1 | 009D20700D358C978EDD7DCBDC4B6163C1F126F3 |
SHA-256 | C3722210D1B3717CDE9C5036CFECDA2E043C1A06EA16744BA912E60DB1575326 |
SSDEEP | 768:vHDhd8QOHQq61BhZuL3P5nag/0ZjT5F+99dmfZqXxX80N3M95hVoq/kDBmJHnxRT:vDhlOw3GLh/0Zj1FGmfZcx5N3M9iqdCU |
TLSH | T15D135528F4014AF7FA5AF7B414D99FD02B5D692EF76EA2E7D004A0E9082511B2D7C0DE |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/distributed/optim/__pycache__/optimizer.cpython-36.opt-1.pyc |
FileSize | 5400 |
MD5 | E4AB3B56E47C6F58C10FDEF9AFBCDEDB |
SHA-1 | 00A29E55CD4DF0A3DBF505EDFBD0DFECD34957B6 |
SHA-256 | 0EEA36C81D661B7E48D2F5779B761BB7997781C2A09C93B939F38BB1CC089F73 |
SSDEEP | 96:p9KkmWSN9qAWe3M/j+Sajic4LwS6P2JcIHLkn8jUfeZHlshGMX:L/mWSNdWBb+SaWc4Lw2Jcwo8gfeZHKV |
TLSH | T1E6B184658DE2AB3AFD49FAF1282F51202300D127779D213238BED1A81F9E7D493B424D |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/operator_test/__pycache__/piecewise_linear_transform_test.cpython-36.opt-1.pyc |
FileSize | 6796 |
MD5 | 78970533B558FB5F48ACCC2A9E4F1629 |
SHA-1 | 00B54C5B1F5E97C782E673E2570EFFCA72119363 |
SHA-256 | FA5F72D7A28CD5D9496C48E3D426862EFE6E1C91956DFEF1E5A3B967E7268F7D |
SSDEEP | 96:T2WzNqNdoPfIshCV9L7Oq7+CjBPrKWhRt25L7fnJHalwgjrKbH/UG6nX1HXu6N5z:qcNqboo0CV9fOqrjZftCLevPnbz |
TLSH | T197E1815CBE839F78F17FFAF8C2EA0B44216494013A9628CF9198D91B2CD07C61B76658 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/layers/__pycache__/reservoir_sampling.cpython-36.opt-1.pyc |
FileSize | 2166 |
MD5 | EDECBD10D5BB9F419D7E590A54F65BDE |
SHA-1 | 00BCEE5B77D7DD477178EB9E6D317B19F26BAF45 |
SHA-256 | 31D612BF4AF2066E1F5F8CDCB888A6893101745910B6E99D88D4B88E555A8115 |
SSDEEP | 48:u1N1RUgjbtPmxaxr3MA3V0mU0+tqjMdtzvTAwUWLd4uhuw:m1mkPmAxr3Dl0mU5tlIvi5hn |
TLSH | T10141B5C0D0018662FC0CF2B6586803D286E5312D63B62123FF98C3EBDC89ED81B7884D |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/distributions/__pycache__/poisson.cpython-36.opt-1.pyc |
FileSize | 2673 |
MD5 | 3617D3CE165A16DC1B6648B3EB97EC14 |
SHA-1 | 00BD81B9F79D1BD7F11D940C7A3D25DA9D97EFC8 |
SHA-256 | 59B5756041254A886F059B6274CA5D59E44DC76BE0F3D1756188E0ABFEE3AA1A |
SSDEEP | 48:qzeONyq14sq/ISO/KJElYOYAg+Y91CIpF3e6LBNw+kWOFc/i/t00975sPXIk7Y01:qzeONhCsSISPnr+0tp9/FEWOFxd5GPX5 |
TLSH | T1B25122C58E812B2EFE98F3F98067A1522B76976373C44237795C867A1F0F1A10D26B48 |