Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/lrn.cpython-36.pyc |
FileSize | 2125 |
MD5 | 6A73057BC8AD3762DFC937963825477B |
SHA-1 | 001E6D867926665F54278FA55226B5AB75917A32 |
SHA-256 | 0EC6F238DC4A4A742CC45BEDEC42598BC37AB8ECADCB8192B69F14D0D1CA9019 |
SSDEEP | 24:gInuGv1UkiRfQTIao8fJ68HoqymL9gDCBsbIG8igy4nOo8fJ6e2OzGT0Xs8Pi5Cd:zF1104TfjbzPL9lBYn2OjBGzMMk |
TLSH | T14041C695F543CAAEFF54F0F5C0DC400785AD22EA9BA629166F0443223D813F10B21A8F |
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 |