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 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
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 |