| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/dequantizelinear.cpython-38.opt-1.pyc |
| FileSize | 1111 |
| MD5 | 658A4DA0943FF63979ED44ACB89A2BDA |
| SHA-1 | 015B57F3C585D5372C4EA7BF9B5DDFA2F9FC3F30 |
| SHA-256 | 67C9AF6B27A5E8397904100EF8B5ADBE6C4838BACBA1183F1177686D450369CA |
| SSDEEP | 24:rFDz1uGv1UI/lBBKy3mkh2ca7qAWR8XhZgi6wm9v5lyaOE+M:hD1BdKkmkhPa+ATX0i6dNjuM |
| TLSH | T13A2135C1C484EAF6FE24F0F550AF075D5576442A5FC615425B88545A6C043E12920568 |
| 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 | 3D24FA6CD4AA40119C15188AEA7C80BA |
| PackageArch | i586 |
| 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 | 6.4 |
| PackageVersion | 1.6.0 |
| SHA-1 | 41A30FA8DD2137FFFCD5A7881601D57FDAAEDA3D |
| SHA-256 | 6A5FF53DBFAEA135330A29B505A75077864B70B89310C3ED041BE5D442843E57 |