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 |
hashlookup:parent-total | 8 |
hashlookup:trust | 90 |
The searched file hash is included in 8 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 | 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 | 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 | 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 | 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 |