| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/averagepool.cpython-38.opt-1.pyc |
| FileSize | 10164 |
| MD5 | A927856633AF9BF569DE1065E25754FF |
| SHA-1 | 01836336056F4A93923E706E5FC41A7604A877AB |
| SHA-256 | CF0475FBFC448C32BC2CD2DEF8183D89D01B694609F7BC349F5540863058EE57 |
| SSDEEP | 192:xks89aOSqrYiBB3BdKDPjj+ohThpqAlyA2j+DhEVSj4v7El6zn2BaZPE7:Ss89aOSw73BC2ohloAlyAI+DWVJol6C1 |
| TLSH | T19C22208744493F5EFD13F0B336E10D126F94C65B974598B2BA1CA7AFDB092C2093469A |
| 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 | 3D24FA6CD4AA40119C15188AEA7C80BA |
| 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. |
| PackageName | python3-onnx |
| PackageRelease | 6.4 |
| PackageVersion | 1.6.0 |
| SHA-1 | 41A30FA8DD2137FFFCD5A7881601D57FDAAEDA3D |
| SHA-256 | 6A5FF53DBFAEA135330A29B505A75077864B70B89310C3ED041BE5D442843E57 |