Key | Value |
---|---|
MD5 | 03B3DE1C8DD9B1C60845B06DEA6E0543 |
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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python39-onnx |
PackageRelease | 1.10 |
PackageVersion | 1.8.1 |
SHA-1 | 69284B69A2A5BF779B7816D37C888F763316D699 |
SHA-256 | 99CE7A471821D4A9D58333AD13D0ECB3ABE44D21F23ED73FCDBA8A3746B6F02F |
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/python3.9/site-packages/onnx/backend/test/case/node/__pycache__/clip.cpython-39.pyc |
FileSize | 3137 |
MD5 | F40EFCD84D82410ECE0F065A38B7FD14 |
SHA-1 | 006DE5AE2160B746022AFA8D8BA31B03D52F9E12 |
SHA-256 | 207A22DF36F078BCD4F5AFE596ABD49A06665C09D8A86E731128C996B81690AA |
SSDEEP | 96:bLau8l1QJ9Eh0UzxSzknJsxTzO6S8kckbpIYQVP:3dVJK0UzxSAJsxe6SHckRQ9 |
TLSH | T1415144C5A896DF65FE03F1F550E64A204250C4288BC7B82B79C0639EBD5419F3DC0719 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/onnx/backend/test/case/node/__pycache__/reducesum.cpython-39.pyc |
FileSize | 4163 |
MD5 | CBD9B3D6BF6384FF11462D352E7150F5 |
SHA-1 | 009D83F6A102998356CF4DD32AA1E869FD50E787 |
SHA-256 | 77CC8721E8BCF78CFE3D71DC03668758A93970BA3378CB7857419A07E7F5B4DF |
SSDEEP | 96:gejlUtRsdHSIGO5kQKPPT4kr0qEOZS9iOHuqhP:g2l6sdHSIn5CT43qEgbOHHx |
TLSH | T11F81858D84209E3FFE02F9BE52FF01D59E72D52E17635927A6C0622AAD091652F7920C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/onnx/backend/test/case/model/__pycache__/__init__.cpython-39.pyc |
FileSize | 1978 |
MD5 | 087E17B65BC6868DD7A5D48C7CA5E5A5 |
SHA-1 | 00BE9E07079E955CAAE0371024BD4EBF7623956D |
SHA-256 | 8ED341BDB3081E621C3BAB77EC12DF0BD8BC3E5BFC364BC1B54F8A55841E39C7 |
SSDEEP | 48:wAl/s1bcKLVF8bcrpx9rqa15XPnPCgC8FbR2CQ2xyRqzz:Rl/u8b0xhnzXPPCgC8FbQxuBz |
TLSH | T1A34175D0811F4E28FFEAF5F4E0198331C1F582335B9C78C25A2851296F1ABF178A559E |
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 |