Key | Value |
---|---|
MD5 | 4C50A30448D3F8BBEE4EFA9177C613E2 |
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 | python3-torch |
PackageRelease | bp155.2.12 |
PackageVersion | 1.4.0 |
SHA-1 | E7B4652B6A9ECFBD7169128F74D54753516F250C |
SHA-256 | 4DA3ED90E600D8B9F07971264647ED085BCDE487DF329D8700EFD492F7CBE3DE |
hashlookup:children-total | 2788 |
hashlookup:trust | 50 |
The searched file hash includes 2788 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/nn/modules/module.py |
FileSize | 46324 |
MD5 | B2A8C9D9CD6A9B88C8734457EA525CCB |
SHA-1 | 0012A02A638A7A1209AB637ABB598470F9652179 |
SHA-256 | 882B6784312DF7F7A4D64A3C391C4FAC3966C45918A1AE1985F164309EC3D2EF |
SSDEEP | 768:zwIUzbgzCHKjnTkhSgj9jUlxItRPuBvbMS:0IUzbg2HKjnTkhvpUgnuxT |
TLSH | T16D2395136AA56A26820B68F9BCEAE0115B8598D7720810747CFC86F01F85D79D2FDFDC |
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/lib/libcaffe2_observers.so |
FileSize | 104528 |
MD5 | C05659C2D887FDED5CE337F49C532495 |
SHA-1 | 0029CA9B0AEB7B038ED0228C467E401D06C27936 |
SHA-256 | 4DD954A9D345EEDD4EC6DE02563549A6CF9727D213D6391A1ED31F38623C13A1 |
SSDEEP | 1536:NdZb+v1+kucXzBA013hnVb58LygpoIKNawW:TZba1BucjB7FBELQIKNTW |
TLSH | T1B7A33907F59648BEC0D9F73852E71227D730BC28963537AE6A84EB3A1E55F205B2E350 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/python/operator_test/batch_bucketize_op_test.py |
FileSize | 3874 |
MD5 | CCDBD3FDB49AEC4609246FCD28695683 |
SHA-1 | 004F83EFD0932D290A3907735DC828DA05DB7C43 |
SHA-256 | E1F05256BB9E88C5A120C1B61AE425AFF0B03D22BF909DE6DADF78D6B9B25CE9 |
SSDEEP | 96:21tnoQSasEqnNZDgTlOpshesjkySAilnnQS6F4bVOOshtn:LQX9qNZUTlOpsksjkySDnQTF4bEOshtn |
TLSH | T12B81003948825E6C867BD07D88E27FA6432947772F0818B734AC57605F6A52C83B96FC |
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/caffe2/python/operator_test/__pycache__/jsd_ops_test.cpython-36.pyc |
FileSize | 1904 |
MD5 | B370650ADFD6B2ECA650335DD4B0E507 |
SHA-1 | 007FC1CB8EA721771D5EB3883BE61F4D568CA1E1 |
SHA-256 | 6899A1E6982F6DC8E4EFBC008040A8F36688161A8383628F41112D86405E9105 |
SSDEEP | 48:8LOE1PfBnVGm/Y39/hdormOZ46kowvFcS:QOSfGm/Y378mOZ46nwmS |
TLSH | T1E64142C98B4B6B5AFE68F1F8C0E601501134C6B36740528B1F74A2F63F89BC04D49AAA |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/quantization/__pycache__/fuse_modules.cpython-36.pyc |
FileSize | 6189 |
MD5 | 2ECBEFB83B107CB60DE8CC0A4C44EE53 |
SHA-1 | 0090BF5BA54131A94E8B5B9CC7EF91BC8AF20242 |
SHA-256 | A394C7C95F9DE369D5E6E46D1C6A81F6A12E893D691FE94590CD6741A077D176 |
SSDEEP | 96:QH4tXhhEpoJ3ArK61hqitb/2JjoJ3CwTEG0H7QUGVtX9IFGYHkJfDZIFlBZqv1pA:Zt0K6zTP0H7QBVx9wGYH4IZqnVkkbXsR |
TLSH | T1DDD1B58329F13B63EAABB1F2F08F51944FA4D1AB5A915620343ED1E02F46534A6F265C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/torch/nn/modules/__pycache__/sparse.cpython-36.opt-1.pyc |
FileSize | 15212 |
MD5 | AFCC14F8F5D4A3712C0A033C157E3C7C |
SHA-1 | 009A6D09CED537BF7812E1DB62B98167F5091A86 |
SHA-256 | 9012E4777293B1E8CA772FD9687C1121299122FF1CF2CD3526A3B6FC71408769 |
SSDEEP | 384:zzv0X8UCpAa4IP5oPX3JtHPB6Hj95to/HdTO29:zz5FCPX3JpPG9Lo/dB9 |
TLSH | T1A662D77A3694B57EFA0BF1F65D5E82C89729501B0B7290C0393E10A81F45491AB7BFCE |
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 | ./usr/lib64/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so |
FileSize | 5840 |
MD5 | 14B3155B0ACF2DCB360EE7E592E6E7DA |
SHA-1 | 00CB5B49A4CA0205594E729110976F4B77696877 |
SHA-256 | 0B520CCBB051C91376811D5F2CE1AEB79F1C10FD06690715B6F58B8761C14DBF |
SSDEEP | 24:RkwkUPsfXWPtmBWBihfhlNzdzLtO59dIaNWFLU6Gdw0RUHSKitIubBbbbsYEpGzM:R0GPtmBWBiVJzdXbF4bi0eyd1bo5Fv |
TLSH | T111C1F086DF60D8BFE53C423C987B033872B0A8DC071207273648A7712DD27982BA59CB |