| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/sample/ops/__pycache__/__init__.cpython-36.pyc |
| FileSize | 1097 |
| MD5 | 1BEC741487A71947166FEA9A1C44FC8A |
| SHA-1 | 00B6D8FE578D11E61EDF72B5DC283E061A5096F0 |
| SHA-256 | FE2D0BCEB963719E6CD88EAEE8BE9FEFBC49280184CD1C476ED434CC5BC037A3 |
| SSDEEP | 24:LrjuGv1kW7n9BaEXCjTAQZzAU/u4GlUlJ2qO0RvoBV/jONlO:np1n9Ba7wOzJlJr0djIlO |
| TLSH | T19A1172C38146AE77FE98F0F2E10C0365CDFA23B1A7896603BA0C52AE4C080E01861A58 |
| 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 | 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 |