Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/lrn.cpython-38.pyc |
FileSize | 1985 |
MD5 | 0F9B054757AFD7CFDF5616D3318C73F1 |
SHA-1 | 000CDF13981BDC0B99EC177E0A79E2124AE2726D |
SHA-256 | 0E4A3969F7ADE3CFB9486031C0FD4207F11BEE6639B786DD1EB2E8315ACA169D |
SSDEEP | 48:eF110NFAGJocazf2IL9fYDCKT77hGJocTwHJ7TcOk:eFYJoc0f2O9fyTAJocTwHJ7gOk |
TLSH | T19341B796A543CA5DFFC4F4B2C1FC0007B95955F92B52252A3F08B3721C097E11A297C7 |
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 | 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 |