| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/runner/item.py |
| FileSize | 572 |
| MD5 | 92CEC2E641DE031BAAB5FCE5C55980F1 |
| SHA-1 | 00EACB342291B91EDE681857C4FAD995E9E3E0B7 |
| SHA-256 | 2497084BD0D43E64DEB49A515F9564C4C3576123132BF748F52F8918A9B39D02 |
| SSDEEP | 12:5O+cmKjCRjKPjPBjYa4JiEYB1eSTyZg/pa2etX1ADqaTH3L26ZSiZb:5OiK2Rod8lFqrt/pa2eXADJn26ciZb |
| TLSH | T12BF081038822735596BED4E5549A503543BFD214DF0C3C7878DCE1E88B9A1554B5AC4C |
| hashlookup:parent-total | 5 |
| hashlookup:trust | 75 |
The searched file hash is included in 5 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 |
| Key | Value |
|---|---|
| MD5 | 35AAFE7A0DCCFA7F8F6189B6B3C876D2 |
| 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 | 2.1 |
| PackageVersion | 1.10.2 |
| SHA-1 | 5B52B103DBA99AEA718AB167AF1B3A638FD50D31 |
| SHA-256 | 9FBB7BE8FD2AE4C6B0C241618F5046004A19BC300F502B170490169CF557A63C |
| Key | Value |
|---|---|
| MD5 | F4DB61069325128BF8993C0AB9F9DC5A |
| 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 | 2.1 |
| PackageVersion | 1.10.2 |
| SHA-1 | E1358A820546230F211718D71186D299F0197F67 |
| SHA-256 | EE9245F49E62C236009035881A7BCEF9B5A2B44C2898ABC3D924468D2FC6A7D5 |
| Key | Value |
|---|---|
| MD5 | 13C61005D2778FD8E7078F1BE6D0F65D |
| 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 | lp153.2.1 |
| PackageVersion | 1.10.2 |
| SHA-1 | 6CB7F8CBC680CC5BF6E9673DA994D5D31AC86063 |
| SHA-256 | 9E402DCB2EC071A33D845F10971962D537A558D770ADB8A3A018F4827E2BBC94 |
| Key | Value |
|---|---|
| MD5 | 65D0610FCB63F5A1E53C27C537F70195 |
| 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 | 2.1 |
| PackageVersion | 1.10.2 |
| SHA-1 | 5D56DED06D1897BDA8F6E939FBF3F243BE3E98F2 |
| SHA-256 | 7DF1A4E72F93EAE68458CB14D38745888090A23E3EDB4EE7E9E3956A12EC3374 |