Result for 014EDF7A379642528128DB6ACC1C04C3AA5A2513

Query result

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
hashlookup:parent-total	14
hashlookup:trust	100

Network graph view

Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D94ADCD2FFACF30F3294D77E21B45729
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	2.83
PackageVersion	1.8.1
SHA-1	442E09E88FF7C4220EFF6E1B7E3A5218FDAA0496
SHA-256	ECE8556CD8081B282ABCC5F3C3FDBE3E4B068400AA379DAA92B201DDEB68CFC2

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

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

Key	Value
MD5	6E36BE67158AA3712F2684FB52CD20B8
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	lp152.2.1
PackageVersion	1.10.2
SHA-1	A01FFF3BBCCD61C433C17DAF2634011FC3C7E7F1
SHA-256	D0FAD037EA8F61D065F51B11B388F26D7756EBB49A81857B5E21A69508BCD9A6

Key	Value
MD5	86FB1BE86E57C54AF6262D4E7D2AF4C9
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	2.113
PackageVersion	1.8.1
SHA-1	37EBC54D3C428044AB8218D8E67B5CD65AF1D240
SHA-256	5B7D2783BC22F5AA80D060CAF404F287BFCFA68287A1FE2AD038EBEC6B6FD2DE

Key	Value
MD5	35AAFE7A0DCCFA7F8F6189B6B3C876D2
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	2.1
PackageVersion	1.10.2
SHA-1	5B52B103DBA99AEA718AB167AF1B3A638FD50D31
SHA-256	9FBB7BE8FD2AE4C6B0C241618F5046004A19BC300F502B170490169CF557A63C

Key	Value
MD5	0CA85AE87E18D94227EA973C9F0D6452
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	python38-onnx
PackageRelease	1.10
PackageVersion	1.8.1
SHA-1	B4210447C90A63D1226DAC2E0BC4319F3AF32597
SHA-256	BC9E2C3AC9397B67C8F9F6A296BB473DF05482A46BC8707F9C1F2A989295AE7B

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

Key	Value
MD5	2FCC58271FB5C75978E99C3704734741
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	lp151.2.2
PackageVersion	1.8.1
SHA-1	DB687F8D565AB6FAF20492A66727D25A834C0227
SHA-256	12C643A5484FEFB70D4D5CC3B066B5F23F171D531C4F2856C6665C1D368B8E07

Key	Value
MD5	F4DB61069325128BF8993C0AB9F9DC5A
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	2.1
PackageVersion	1.10.2
SHA-1	E1358A820546230F211718D71186D299F0197F67
SHA-256	EE9245F49E62C236009035881A7BCEF9B5A2B44C2898ABC3D924468D2FC6A7D5

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

Key	Value
MD5	13C61005D2778FD8E7078F1BE6D0F65D
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	lp153.2.1
PackageVersion	1.10.2
SHA-1	6CB7F8CBC680CC5BF6E9673DA994D5D31AC86063
SHA-256	9E402DCB2EC071A33D845F10971962D537A558D770ADB8A3A018F4827E2BBC94

Key	Value
MD5	65D0610FCB63F5A1E53C27C537F70195
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	2.1
PackageVersion	1.10.2
SHA-1	5D56DED06D1897BDA8F6E939FBF3F243BE3E98F2
SHA-256	7DF1A4E72F93EAE68458CB14D38745888090A23E3EDB4EE7E9E3956A12EC3374

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