Key | Value |
---|---|
MD5 | B94C0471341A786C52100C671FA95ADE |
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 |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python310-torch |
PackageRelease | 6.3 |
PackageVersion | 1.5.1 |
SHA-1 | 4D770A48B4DB8D46F1832A503EFF02FC030554EA |
SHA-256 | FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34 |
hashlookup:children-total | 2942 |
hashlookup:trust | 50 |
The searched file hash includes 2942 children files known and seen by metalookup. A sample is included below:
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/python3.10/site-packages/caffe2/experiments/python/__pycache__/SparseTransformer.cpython-310.pyc |
FileSize | 4441 |
MD5 | B44BCD4B483D3DD6FECE91413DE87603 |
SHA-1 | 0056FDECB8AFD4C07289DAFC8CA7370B52C70757 |
SHA-256 | 350C10080AE97193EAF42371DDA2503569587A8186D5134AB90BE40029EBA786 |
SSDEEP | 96:xvSvKm/aJ8GNmUs2aTwKGGD8YQPYUQ273g8PJd:kvKmSJ8lUBWPGGDrpqTPJd |
TLSH | T1B291FAD11A086E2BFCE7F27D041703148297A6F79684D146350EE7B4CF061DA1E25B99 |
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/python3.10/site-packages/torch/__pycache__/functional.cpython-310.pyc |
FileSize | 39064 |
MD5 | F3446B7032019ED288C3F40C3563CEBF |
SHA-1 | 00C0E20B6E91AD060B888FC67A4D7A75C963E9F3 |
SHA-256 | 884D0C63B6AF8833D0AB9F582851BBBF10C136A2CA0E5952C865350961212BB4 |
SSDEEP | 768:FVq0RWutuBCEaSTPSEgct/yYJkSsiIr5u7zqzuHa3sSsYgPsFZzmDoBXrwWykOK/:FVBRWOyCKSE/yYJkSsiIr5Ga3sSsYRfD |
TLSH | T1FC03079ABBC11236F217F3F14DCF51A96720C1630759A42AB0AC10642F81BB8A376FDD |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py |
FileSize | 11668 |
MD5 | 05A67E554B52ECEF4EE54A03E79D4CAB |
SHA-1 | 00C662F22F83AE2109C2D1788B46D52B36A14C58 |
SHA-256 | EF2CF0B4FF110E7B9E2B6F9F82457B73CD7BA114F2599A439A46C03A12DFB4B4 |
SSDEEP | 96:uhAh1I55rk8wjqsBdgJhnJy2qP1V1Ym9uJT5rhdJBrqZjoayJD1VgeuA:uy8hsLgJZJQuRdJejotD15uA |
TLSH | T1B232309694D0102453B3B5F70AC64F44225D2173AEC0B8167BACAA605F4D92FF3B5F7A |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/torch/nn/parameter.pyi |
FileSize | 153 |
MD5 | BDC068875E0C7494C16C23A05ADCA93F |
SHA-1 | 00DFFE2F08A549BCD88C3BEA22C3833107A4E013 |
SHA-256 | 87D222E82E7FD515C07A872647F70F2C3E67A3371A4E7869DED21C2C4EFC13EE |
SHA-512 | 7563E7756FD097B0BC4E9DDD0E7A685E98D0DB6BDABE8F665281606758118AB86746B6D95803FDC38320B1218BE942DB4616FCD143DAE18B5BC4599806C5E5E6 |
SSDEEP | 3:1L0B0KXdNLKmAawBmA6MLiEABLALWrtjW5QIRNLHvVblxnn:1LeLQmBdk1ACiY1RN1 |
TLSH | T1A9C02B6372F71279C081C1F16C6306B48E368453FF3E1C2410D053020AC6C148284094 |
insert-timestamp | 1727020052.6083763 |
mimetype | text/x-python |
source | snap:gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/operator_test/learning_rate_op_test.py |
FileSize | 7524 |
MD5 | 1A3BA983889F1F0DD57E5A9EA001E618 |
SHA-1 | 00EAB4295EAA2989283C190A50A3AE58B730C540 |
SHA-256 | 7B293860B3B6C2400F893EF1DD503819F403552584BC7F94675B13707F9C45F9 |
SSDEEP | 192:+2EpCjOsPLeWBXOs8TeojwOsBWH7Jj8dh76OSk2Rc68OSyPB:+2EpgO6LeWFOFTeswOtH7Jj8dt6OCN8I |
TLSH | T15FF1F0174403D428435362690C8B57C493287833EDC66EA6B9CC9611EFEB92973FDAF0 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/layers/gather_record.py |
FileSize | 3405 |
MD5 | 1DA2F801BD1583B8E7F9566B6718E413 |
SHA-1 | 00F8196668FD428140D7E7D38A2BB8D8054A053E |
SHA-256 | 7167B523933BD14D69AA15249AC1A5387616FFBA8023A150570719EEBC6A88CA |
SSDEEP | 96:QQAeTZxHA3lVtkJD6NWdlsWEfnXZXC3KTjbJ:QQJ1xg3lVt2D6b9H |
TLSH | T1A9615962620D5C61A30BDF7F0895B746067768234F1C25A9F4BD57C00F9AFA4A3F09E8 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/caffe2/python/onnx/tests/__pycache__/__init__.cpython-310.pyc |
FileSize | 322 |
MD5 | 0C2D9A2F07A9058FEB6A6452CE9A977E |
SHA-1 | 00FCDF6FA3B936A0D13C91FE0C06CA69D37300A9 |
SHA-256 | 7BAC0782F01934C6533E8ECBA9E80A284049F5FF2478B6329C15CE9565E47982 |
SSDEEP | 6:ZE0TulmSI88aebujiR3P11JW3OOO/HlQ9KTWgMrze1MocDv:60TulmSubujiv1J2OtQ9AWgIxBDv |
TLSH | T1B4E0E745735953BBF5A8F1F0C1344275C4F4B151F255110B368C039C4C017B00C139E4 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/torch/utils/tensorboard/__pycache__/_onnx_graph.cpython-310.opt-1.pyc |
FileSize | 1887 |
MD5 | DC6B811BC17BB688A48609BCF307A9B5 |
SHA-1 | 0104F23339A79564E744BF08AD7DD7F8EF29CE09 |
SHA-256 | 9766DFFF11B675DBDACD1D7FA40854C6C8315A90CA1D5AB7C17F3DCB7B453DCB |
SSDEEP | 48:5UpHwLIHWtLClMdWVk+gb1gZrHmUCR/1pAq7ikfW:euL3x0VbgbaHm5R/Mq7i/ |
TLSH | T1C64171C1C858E539FDA8F2F52A9A411A17B9C7CED6CAA8D6EE02C52E0C183453139C09 |