Key | Value |
---|---|
MD5 | D160CFA982AFCBB8386D394FEE259BE9 |
PackageArch | i586 |
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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python39-onnx |
PackageRelease | 1.10 |
PackageVersion | 1.8.1 |
SHA-1 | E6BED547591AA5C28934DD98D22181D1FAAA8E0E |
SHA-256 | F0E852D80C999ED1E371815C8A05F0CB94D5794C1FEC293195C31CE521F5CB0C |
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/lib/python3.9/site-packages/onnx/backend/test/case/model/__pycache__/expand.cpython-39.pyc |
FileSize | 2108 |
MD5 | 6011D0440FABDC2548A7DE7F55BFDFA8 |
SHA-1 | 00963942DC936CEA2C681CC1FBB3BFBF1CD493DE |
SHA-256 | 1659169CCB8FD9718F3B659F1592B13D81DFED16603710717519DAD328C6AF22 |
SSDEEP | 48:qY1GMjLOYg18DIQv0l1Fj7kQYCQQ27svJ51:qL0rDIRZDO7aJT |
TLSH | T1004173BCDA1ACF7FFE28F1F68899829B45B9C0CA5BC5200299B08B471D552F5333450C |
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 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/app/machine-learning/python-packages/onnx/backend/test/data/node/test_scatter_with_axis/model.onnx |
FileSize | 199 |
MD5 | 1848210776A05751E8F7C5A8705889EC |
SHA-1 | 01602490EEDAED1C47366D487CB4E7247769C76D |
SHA-256 | 98278975EB8059E4367087D4D78678024E2F9E52B3D429951F870B4AC167D497 |
SHA-512 | C5C141F57D8BF404678B2208018929B06F35B1C655F6D757AD7AAABD9C54928907317879190984071ADAD64D475F74FD30BD2C97053C7F57CC8EF5273D823695 |
SSDEEP | 3:E9vyTXBBjwzRB9uS9zX6z2WwiL4d/G/TN7D0/GlQVB4XptS/GoV3rv4d/Gs3n:E9vyNr+exwi8Y717lQV0ptNoV374Ys3 |
TLSH | T19CD022B3D020A80E072F10182892B7987412F41908C64B908108C7370D62DB4F8EE333 |
insert-timestamp | 1721647811.0299919 |
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_reduce_sum_square_negative_axes_keepdims_random_expanded/test_data_set_0/output_0.pb |
FileSize | 43 |
MD5 | FC666F6BDA36D47375D022C6C615F46D |
SHA-1 | 017EC79D5C208495B80277B2AC4605AA8525D707 |
SHA-256 | 4FEB9DD68CA76CFAD4EA4F286D40EF62AC50A02B2AD0DF92FFC4892B1B61B819 |
SHA-512 | 953283E3F750F17C939295FC042700063639B9D5845ED26E37E5F3C9DB4A6B68479034AA50F1BA65940C48811EBBA6B121EBF6549D68BE414276FA63B5DFB427 |
SSDEEP | 3:0kflfsanjunlPnn:0kVJnj4Pnn |
TLSH | |
insert-timestamp | 1721647814.033244 |
mimetype | application/octet-stream |
source | snap:RE98ktTqRPHHtxUS9I7T7NQXPIxYHG4q_143 |