Key | Value |
---|---|
MD5 | 6E36BE67158AA3712F2684FB52CD20B8 |
PackageArch | x86_64 |
PackageDescription | Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners. |
PackageName | python3-onnx |
PackageRelease | lp152.2.1 |
PackageVersion | 1.10.2 |
SHA-1 | A01FFF3BBCCD61C433C17DAF2634011FC3C7E7F1 |
SHA-256 | D0FAD037EA8F61D065F51B11B388F26D7756EBB49A81857B5E21A69508BCD9A6 |
hashlookup:children-total | 3173 |
hashlookup:trust | 50 |
The searched file hash includes 3173 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | snap-hashlookup-import/app/machine-learning/python-packages/onnx/backend/test/data/node/test_castlike_BFLOAT16_to_FLOAT_expanded/test_data_set_0/output_0.pb |
FileSize | 64 |
MD5 | 1B2A69BFC91439AA245BDEAD0923FD5D |
SHA-1 | 0003FC2DD2667F76C5A00DDCA69CE19A16D36E6D |
SHA-256 | 9F4D9C54C992B263BE0B722A800DD523AE50B7431BE2703BDF4F0D53F84AC7F9 |
SHA-512 | 603FF065FA924A9C74982135E6536E000FF341448971A6FB7C2ECE4757DE4C65129843C0C1F8CFE81FFCBBDEF5DEE6EC27FA8F12FCE44CA93B1EEBE0FC29CBDA |
SSDEEP | 3:0h+LKPRoldxll0allM/Alilalllan:0PCxluulM/1atan |
TLSH | T1DCA0023454800E0805023490E88B8DE954734510034239195472AA4B5DD70151D63632 |
insert-timestamp | 1721647803.3502078 |
mimetype | application/octet-stream |
source | snap:RE98ktTqRPHHtxUS9I7T7NQXPIxYHG4q_143 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/lrn.cpython-36.pyc |
FileSize | 2125 |
MD5 | 6A73057BC8AD3762DFC937963825477B |
SHA-1 | 001E6D867926665F54278FA55226B5AB75917A32 |
SHA-256 | 0EC6F238DC4A4A742CC45BEDEC42598BC37AB8ECADCB8192B69F14D0D1CA9019 |
SSDEEP | 24:gInuGv1UkiRfQTIao8fJ68HoqymL9gDCBsbIG8igy4nOo8fJ6e2OzGT0Xs8Pi5Cd:zF1104TfjbzPL9lBYn2OjBGzMMk |
TLSH | T14041C695F543CAAEFF54F0F5C0DC400785AD22EA9BA629166F0443223D813F10B21A8F |
Key | Value |
---|---|
FileName | snap-hashlookup-import/app/machine-learning/python-packages/onnx/backend/test/data/node/test_unique_not_sorted_without_axis/test_data_set_0/input_0.pb |
FileSize | 33 |
MD5 | 744756E3B1EEA26D2734BF9EA1062270 |
SHA-1 | 00249AEF2BFD0861B303F9731A71AE2B599CEA3E |
SHA-256 | 36CF0EC69194FE4F0FB0DF6612A387CAA57A529A5E0885DA9F0978DAED006F58 |
SHA-512 | 58242C9D6A342A868078152674FE1DAB1464994C9376C526480FC15470D239C1A1FC97247CBFF8513FDCE64B0BC3605AF261005A291B5B4A33EBBFD2D4B2ADA0 |
SSDEEP | 3:TknOlQotlXlln:onKQ49 |
TLSH | |
insert-timestamp | 1721647816.5803854 |
mimetype | application/octet-stream |
source | snap:RE98ktTqRPHHtxUS9I7T7NQXPIxYHG4q_143 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/app/machine-learning/python-packages/onnx/backend/test/data/node/test_pow/test_data_set_0/input_0.pb |
FileSize | 254 |
MD5 | 1236606A29D429E5853E78CF5A383D37 |
SHA-1 | 004A45FCBA63BB2681290081A128A54F31ADBB54 |
SHA-256 | 018FD53069CA24142BC3DF2DCFFA9815166EEA86EE5C2F9D190C898CAACA8CAA |
SHA-512 | D7F6A8DE3DA5E32FCDD77AFD266FCD4E677270E5F164EED514133529A43F579B92D16C474D8B24C69BCAB8A483BCC3CBB5E07250201BD0514258872F109F2447 |
SSDEEP | 3:0hGhVEtWlvvFl/lk9sl6cl/slqMlPsla0u1N2dl+ldGN1OVSlTnZ7n1TnRrntznR:0/WM9EtEd91MdslsNMVSf |
TLSH | T141D08053774897D1E1685D304DE33D1763474C7C51B5300C4F67031B15D4157550DC87 |
insert-timestamp | 1721647809.7144208 |
mimetype | application/octet-stream |
source | snap:RE98ktTqRPHHtxUS9I7T7NQXPIxYHG4q_143 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/sample/ops/__pycache__/__init__.cpython-36.pyc |
FileSize | 1097 |
MD5 | 1BEC741487A71947166FEA9A1C44FC8A |
SHA-1 | 00B6D8FE578D11E61EDF72B5DC283E061A5096F0 |
SHA-256 | FE2D0BCEB963719E6CD88EAEE8BE9FEFBC49280184CD1C476ED434CC5BC037A3 |
SSDEEP | 24:LrjuGv1kW7n9BaEXCjTAQZzAU/u4GlUlJ2qO0RvoBV/jONlO:np1n9Ba7wOzJlJr0djIlO |
TLSH | T19A1172C38146AE77FE98F0F2E10C0365CDFA23B1A7896603BA0C52AE4C080E01861A58 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/runner/item.py |
FileSize | 572 |
MD5 | 92CEC2E641DE031BAAB5FCE5C55980F1 |
SHA-1 | 00EACB342291B91EDE681857C4FAD995E9E3E0B7 |
SHA-256 | 2497084BD0D43E64DEB49A515F9564C4C3576123132BF748F52F8918A9B39D02 |
SSDEEP | 12:5O+cmKjCRjKPjPBjYa4JiEYB1eSTyZg/pa2etX1ADqaTH3L26ZSiZb:5OiK2Rod8lFqrt/pa2eXADJn26ciZb |
TLSH | T12BF081038822735596BED4E5549A503543BFD214DF0C3C7878DCE1E88B9A1554B5AC4C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/data/node/test_tan_example/model.onnx |
FileSize | 87 |
MD5 | 9E4F287C0ED66271FD53BDB80FC4DA27 |
SHA-1 | 0100A9052740D8D2732DE346B73147533265A52A |
SHA-256 | ABE8800BB5A6BB436087FB185E020ECF721D4E4DC88349433D80C2242597B6B5 |
SSDEEP | 3:upkZAthd3VmZBUu3Mptm0VNtkptmnmn:uq+7dhDm8tkDmnmn |
TLSH | T175B012CA0A1204014B32C01FC8110633900DC551448CF7C51385C44D4D82CA14886344 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/softsign.cpython-36.pyc |
FileSize | 1166 |
MD5 | C0C6A54B50A074CE749878D6ADBAD80A |
SHA-1 | 0123105E4A5F3B99746D38B7B76A8F4CF4BB55D8 |
SHA-256 | 01FDAD51FE717C8AA3E396B4F58B605C2F1D81DFA7930D0B83E2211876F506D3 |
SSDEEP | 24:hFDz1uGv1UYocDVZZJeZKMHml7hZvmJIhCBjNn5+GNcZlaOY+YI:XD1BocH+K6mlyBjN5NcfaOYI |
TLSH | T1F92142D1C28B9FB2FE48F0B9C0DE4118D4B571BD53D0BC073B80463B1C0A2E61A60E4A |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/data/node/test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric/model.onnx |
FileSize | 302 |
MD5 | 0AD533C6FF7A857F1FF64083D5549DC5 |
SHA-1 | 014EDF7A379642528128DB6ACC1C04C3AA5A2513 |
SHA-256 | 9861C3304354C916B89D3505211D11EB1842794206600BFC668A0C02888BFF76 |
SSDEEP | 6:ipHjhk/J0MuPMKYi7JvNcQZW6K4ijAV9LqGMwkl4EI6Y883t8kl44:i5herYL97BmR6HV9LqfTI6Y883t1v |
TLSH | T106E07D9BE0304C09273733BCEEB5269CAA61C30C80A50A700604D4258801F46919C3DA |
Key | Value |
---|---|
FileName | snap-hashlookup-import/app/machine-learning/python-packages/onnx/backend/test/data/pytorch-converted/test_AvgPool3d_stride/model.onnx |
FileSize | 196 |
MD5 | C35533FBAF16988482DDAE450CCBF859 |
SHA-1 | 015CFE60A9DA4E71A8B2F2B6D13545E27C764893 |
SHA-256 | 8B80276BBF2F4E3E031BFEEF5A8F5342AA7CAD1D52B0C250CCD3ED119B6771D6 |
SHA-512 | 3EECBD63E9A613DD0519D1F7B55B566685D4EE5BC8BCBD835C744379EA280A250B8E9B1162D6B203DB703BECD798374472D6EC308BFF8B6D4744CB96080ECBD8 |
SSDEEP | 6:ui2RKXfhEUiMJWWeRg1JRU99u4LPAvb6kcAvr:ui2qEfRy0Sb69Kr |
TLSH | T122D01213048914D8EB092014F49659984543E00D15CD87E155CAEF07BC44D4D4A845D9 |
insert-timestamp | 1721647789.7102919 |
mimetype | application/octet-stream |
source | snap:RE98ktTqRPHHtxUS9I7T7NQXPIxYHG4q_143 |