Result for 527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE

Query result

Key	Value
MD5	4968FBDE3FAADCE4D785DB8019E3BA23
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	python38-onnx
PackageRelease	1.10
PackageVersion	1.8.1
SHA-1	527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE
SHA-256	B161199B6B4B874CC5564379D12DE2FC460B2F57BF6BD0300BC4B381C8D56112
hashlookup:children-total	2994
hashlookup:trust	50

Network graph view

Children (Total: 2994)

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	./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/flatten.cpython-38.pyc
FileSize	2117
MD5	3A36089F1AF45CBD6F72CCBE42B1A943
SHA-1	002CB101F90C5A3E9F0F56A6AB941F1F54E540AA
SHA-256	3AA95B2B78FAB5F66F624397FD8484FB0E41BF829416DA4B5F4E0ED647FEFB4D
SSDEEP	48:4D1JEAPflpA3ZldkyXoi5PbzYrGBiB3S1DBYI:4LEqtqpjX5xzYciBijP
TLSH	T1C24154D3944B9E62FF6BF4FAC4FA01C2846195D913C27B12AA6412591F5D2A44521A0F

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/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/size.cpython-38.pyc
FileSize	1166
MD5	B0125F18195C92C555A0796B6E3E2958
SHA-1	0062F897A34948250D46C1A10BE948B42E81D876
SHA-256	4B65EA65BDD3C54CA334F39471213C3A0EF4E9008ADE752415EBE9AD006A42F6
SSDEEP	24:92FDz1uGv1UIygxA9avxMVA1hZ4c6/xut1AwmcY/W6n5WsUlKJaOYIYI:wD1ByqZeEcdLdfX5WsWKAYYI
TLSH	T1A92142C2C5429F77FF28F0F6C4EE4114D1B190AD97D15D063B85663A2C082EA1C60B49

Key	Value
FileName	./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/gather.cpython-38.pyc
FileSize	2293
MD5	49DD194427BE2B578E83460FC9DDBFF6
SHA-1	00C576BCDE321AF2A317F206B80A1232FC4E3FEB
SHA-256	BE206F94304FFCCFF99886A9A8324500573E386263BBACEE12A440983FBDECB9
SSDEEP	48:YSD19RCRxXLSLldz1HdW8ACLsMu/ljcDDR9zxYI:YSfRK9Lc/1HdW8ACLsMAYDR9tP
TLSH	T1A64187F38449095FFDABF2BD44DB43906370C0AF87405529EF2596EF5C4A1E6C830665

Key	Value
FileName	./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/maxpool.cpython-38.pyc
FileSize	10988
MD5	E698D868D36A44166A50B796C5559946
SHA-1	00F3C85E7AE53A605F356398255551B5CC6605D5
SHA-256	38C916D809A0F5AED15F7A5665087EE203C7AE03026B5F48C4C1CB8C03850C86
SSDEEP	192:P/86wbL0d2+9JfB1pg/5DPc+BwTJ0KAa3sADL51DyFl6INtBH7hAWe87:M6wbL0d/9JfBotxBwd9AacAR1DKl6eBB
TLSH	T14A3253C344452D1FFC93F0F726B50D53AA50D15A1F9299B2BE0E86ABEB4E5C20A3464F

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/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/neg.cpython-38.pyc
FileSize	1113
MD5	5A05531D8FE1F98F48EB2F77B276C9DF
SHA-1	01059703A99392549FB6E3DEAC84A03D89F29926
SHA-256	51AE4A58793E42C88FA91585662FB048FDE9B5774DE63895F385DA281EBF6B3A
SSDEEP	24:RmFDz1uGv1UIGCthq6MvOml0hZ6EOJiSt1Awm8/Wcn5KKoK/BlKJaOYIYI:UD1BP2OmaphdcN5pfKAYYI
TLSH	T1792132C2C5438FAAFF28F0F6C4EE0119C6B1A1AD13C16D533B84672A1C082E62970A4C

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