Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/onnx/backend/test/case/node/__pycache__/clip.cpython-39.pyc |
FileSize | 3137 |
MD5 | F40EFCD84D82410ECE0F065A38B7FD14 |
SHA-1 | 006DE5AE2160B746022AFA8D8BA31B03D52F9E12 |
SHA-256 | 207A22DF36F078BCD4F5AFE596ABD49A06665C09D8A86E731128C996B81690AA |
SSDEEP | 96:bLau8l1QJ9Eh0UzxSzknJsxTzO6S8kckbpIYQVP:3dVJK0UzxSAJsxe6SHckRQ9 |
TLSH | T1415144C5A896DF65FE03F1F550E64A204250C4288BC7B82B79C0639EBD5419F3DC0719 |
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 | 03B3DE1C8DD9B1C60845B06DEA6E0543 |
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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python39-onnx |
PackageRelease | 1.10 |
PackageVersion | 1.8.1 |
SHA-1 | 69284B69A2A5BF779B7816D37C888F763316D699 |
SHA-256 | 99CE7A471821D4A9D58333AD13D0ECB3ABE44D21F23ED73FCDBA8A3746B6F02F |