Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/maxpool.cpython-36.pyc |
FileSize | 12195 |
MD5 | 628CB2723C3F93F9D0E8513313A18A50 |
SHA-1 | 014FB7F4DEABC577B9C255731B180038D003F41B |
SHA-256 | CDADF30FF8CCD1C48F444E1CDC73ABE6C12D06150D781FD9BE77074C6F2AA3BF |
SSDEEP | 192:Dv8/oco3iXgcXYTsRWwlHDrS8GcPuFlWsoFlsABFBWEF+VseQYSfqq5q9h2pEg7:g/oco3iwcXYTs7NGcPuFlWbFlsqFBWEz |
TLSH | T1F94245C311842C2FFD51F0FA56B90D638950925F2F52DAB37D4D8597EB0A0811B38B9E |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
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 | 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 |