| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/averagepool.cpython-36.pyc |
| FileSize | 11351 |
| MD5 | 7A4E4524CD20BDF183047ADBB3AF1EAD |
| SHA-1 | 007763295B5B0E83ADD1DD8D1C375BC8AF533A5D |
| SHA-256 | 1D5A1587D07327E7E9B4E9124A6A51C371969F9CA4F76E1EEABC1B263BE5E7B7 |
| SSDEEP | 192:iUpM9Ss93FLYVdwHZpDhfp/iPwP3FlC9FlApzFB9mrtFIvCFbH0F+VsecPKP6U7:vpM9193FfHZR/iPwP3FlC9FlApzFB9m7 |
| TLSH | T12C32744755846E2FFD22F0F632E40D234B84925BAB15CA73BD2C569FDB092C20A2476D |
| 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 | 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 |