Key | Value |
---|---|
MD5 | 58477028865FBC5CFF586C80B10047AF |
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 | lp152.2.98 |
PackageVersion | 1.8.1 |
SHA-1 | 6DF7EBA43B586B95199776B5F9004A59181F686C |
SHA-256 | B6FFB6FB78AAE389339AB0BECE909E22DDD0CC5A3FCA6BBA4D902F15D86BF72E |
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 | 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/test/case/node/__pycache__/cast.cpython-36.pyc |
FileSize | 2595 |
MD5 | 768F7A8535F15A20CE8FA2002CFAF547 |
SHA-1 | 006F08AE729DC9A61F0F4FC102A9912549B05C55 |
SHA-256 | 9122503B2E285B3C8FDC0AE04CB6E48D177061A211747D049589DBB3A8BE83AB |
SSDEEP | 48:xJJh17FDxYMJC0XthHtt6NSe2aUmTKlTH9up7xc5zB+otAaKLcHp3E+i:lNxDJHdh0H2a7T+TcVxc5UIKcOT |
TLSH | T15D51E7A44106B977F353F6FCE0E802D484947290B3C8FA52AF684A16BC063E2163275C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/report/__pycache__/coverage.cpython-36.opt-1.pyc |
FileSize | 7081 |
MD5 | A73726CFDD8C05F0E13A2417515A92C5 |
SHA-1 | 0076B546FB7A4A261E1D8B65916B27C69EF6FDFA |
SHA-256 | 3A4C737A1528827CD6CEF2646622C31B3F2334B9187C15750AFCD41776693482 |
SSDEEP | 192:O9eP3ALwHrD/qmxehUK6s6S57wIZvCrBTEI4:cevALyrD/QbN0rpEI4 |
TLSH | T126E1C782D9415F9FFC3EF3B8F54E039CA290E3BAD2CC9257541981179C5A2D40B3C5AA |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/nonmaxsuppression.cpython-36.pyc |
FileSize | 8218 |
MD5 | 3714E1308DF333F84D72D383182F3D91 |
SHA-1 | 00E09A8AAFAB778B75EEC4CE092D27A391C316D8 |
SHA-256 | D725F101259A0C73693680AAD29124EC7D1D461603AF62AFD470588368BE3C6E |
SSDEEP | 192:GUHOu9lFt9lnC97t9kD9Et9gK9n+t93L9nUt9tv0H9dEt9Se9SHt9z+490t9H/n:GUHOu9zt9lnC97t9kD9Et9gK9+t93L9k |
TLSH | T11602DD734980AE68F92DF17EC17B658175B8E4A43E16EED22EC08443BE059D31C54BDB |
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/case/node/__pycache__/maxunpool.cpython-36.pyc |
FileSize | 1922 |
MD5 | 6F1FCA863CFCED756FD74DD395AFD1E1 |
SHA-1 | 013F6427706BE4FC9431A65691C53EA5FAF6386C |
SHA-256 | 1A1D06D88DE2109C2BDFFB14486C10E3714C28633AA1A23656432C03F18FCA1F |
SSDEEP | 48:pD110GBgaHGvMw0BZ+qMDgNccKmQ8L17GlzOoMDYI:pnhgampu7i+cc7BL6zOoAP |
TLSH | T1924165D1900C1EABFD55F0F884B5025AFBA440DE0F712863FF05B68ADD185D4182295E |
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 |