Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/softsign.cpython-36.pyc |
FileSize | 1166 |
MD5 | C0C6A54B50A074CE749878D6ADBAD80A |
SHA-1 | 0123105E4A5F3B99746D38B7B76A8F4CF4BB55D8 |
SHA-256 | 01FDAD51FE717C8AA3E396B4F58B605C2F1D81DFA7930D0B83E2211876F506D3 |
SSDEEP | 24:hFDz1uGv1UYocDVZZJeZKMHml7hZvmJIhCBjNn5+GNcZlaOY+YI:XD1BocH+K6mlyBjN5NcfaOYI |
TLSH | T1F92142D1C28B9FB2FE48F0B9C0DE4118D4B571BD53D0BC073B80463B1C0A2E61A60E4A |
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 |