Key | Value |
---|---|
MD5 | 0D124E1D096043BE9A73FDB6576BC608 |
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 | lp153.2.78 |
PackageVersion | 1.8.1 |
SHA-1 | CF1717814C8C1495A3BF5B49BBCF2AB8B1B36218 |
SHA-256 | AAE2D7A08EF1A705F010B32FF3A2865FBC644F0ABE66BA83D2EB088EF2F0A207 |
hashlookup:children-total | 2994 |
hashlookup:trust | 50 |
The searched file hash includes 2994 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__/cast.cpython-36.pyc |
FileSize | 2595 |
MD5 | 752EF4A8A66CB15989EB8EC9BF39C153 |
SHA-1 | 001801F875B8ABCAB6363C58CE9D825B3F029D81 |
SHA-256 | 39D50889609BB6CEB9D3E0AD42085EA1FEF7D7B208DF77E9C835627934EFF180 |
SSDEEP | 48:xJJh17FDxYMJC0XthHtt6NSe2aUmTKlTH9up7xc5oB+otAaKLcHp3E+i:lNxDJHdh0H2a7T+TcVxc5JIKcOT |
TLSH | T13051E7A44106B977F353F6FCE0E9029484947290B3C8FA52AF684A16BC063E2163275C |
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 | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/__pycache__/utils.cpython-36.pyc |
FileSize | 1068 |
MD5 | B8A85BE1446637AFF417CA876657C498 |
SHA-1 | 002E97B6AD28C94A510F54EF03CDDB0F0C84F40C |
SHA-256 | 4442ECED9AB7B293347F06B813723F768EA8EE5670E7D48CAD24359704BD1C4C |
SSDEEP | 24:SW+T6sQNuGtF75yHVwSGlUp9O0RvoBatIyag5c2i62msfkln:NIn02ag5c292Ls |
TLSH | T1571132B206164ED7FE4DE5F0EC25407ACCF6639687D46943760C26F74E022A79670EA4 |
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/test/case/node/__pycache__/reducemin.cpython-36.pyc |
FileSize | 3584 |
MD5 | 4DA69919252BFB6C63B9C40B953FE080 |
SHA-1 | 005FC48ADE80E5C0371C937C4BD339C13D53A86D |
SHA-256 | E47868CABDB77B893C834F656C5BA297A62CFF51430313D34768030736FDFF1F |
SSDEEP | 48:dD19jPiNfbP4UvFkTABGkgPAcff/1dJbLja6cSUjLBSfvPCcuc5dDJbLh5kS9PgI:d/eNL1F4Ucff9bnS1yCcucNbzhBP |
TLSH | T1AA712289D8018F3AFE56F87BC1ED0181EF69D51F1BC658376B80A18BAF463541F29329 |
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-1.8.1-py3.6.egg-info/PKG-INFO |
FileSize | 282 |
MD5 | 4B3128EE968D4604F54BE9E6CEAD9F0B |
SHA-1 | 0108E5263200046004023A68DE9B03A57C38D3E7 |
SHA-256 | 8936B0243C15E2A6549A422BDB407A39B7F7E10354C72B8D6CF7F0399108B4DF |
SSDEEP | 6:Ty2SrBHfbqV1CAkOWXqDtDRO2sL5vvNegmYwNiVUiQKQv4b24MZ6j83n:DCB/bu1rkVT2sLvevYrHQXQa4Mg43n |
TLSH | T14CD0EB88301050A21BD212532A9982F08E51AB04FCAA6CBD02900F2402A3DF022CA0B6 |
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 |