| Key | Value |
|---|---|
| FileName | usr/share/doc/OpenImageDenoise/third-party-programs-oneDNN.txt |
| FileSize | 21633 |
| MD5 | E72E5507ED504C456567689496893C95 |
| SHA-1 | 26D5F6DF2C10C22810E0BB3A6ADE59C1B368E087 |
| SHA-256 | 24AEC11880AB2CDECFA1194CB601CA35D2D21BC74C69BC049C4D7BEFB4D5D52E |
| SSDEEP | 384:Kri7CtnwgeEtSrsCrsRm1DLJrspstGFirsCrsa16LzH3M9vlKM1zJlFvmNz5VrsR:KVnttAlRDLJFGFir16LzHc9TzJlFvAfW |
| TLSH | T16BA2C56F7F4407770AC2C2A2668768CAF11D903F7B272A14341DD1681B6BA2DC2FF5A5 |
| tar:gname | root |
| tar:uname | root |
| 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 | 609C22E93327B07FB5EE247E0EF54AEE |
| PackageArch | x86_64 |
| PackageDescription | one-API Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN: |
| PackageMaintainer | Fedora Project |
| PackageName | onednn |
| PackageRelease | 1.el8 |
| PackageVersion | 1.5 |
| SHA-1 | 8BF68CEECE2D29B15E61FA5AEB79CD69A1169E45 |
| SHA-256 | 92D086083239B0CB7077C32D825E7401DB29B491BB86F3D54C6E42315F378D16 |
| Key | Value |
|---|---|
| MD5 | F6601C550F872726144133514DDC0933 |
| PackageArch | aarch64 |
| PackageDescription | one-API Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN: |
| PackageMaintainer | Fedora Project |
| PackageName | onednn |
| PackageRelease | 1.el8 |
| PackageVersion | 1.5 |
| SHA-1 | 80FDF08CA8724E09B81065825DF4161EF639D406 |
| SHA-256 | 7BD48EC080BDEF700BDD826F013CFA6787AFD8F52AD79E0DFC6EC9C280CEBF6A |
| Key | Value |
|---|---|
| FileName | http://archlinux.mirror.root.lu//pool//community//openimagedenoise-1.2.4-1-x86_64.pkg.tar.zst |
| MD5 | 947DE494D04B242903DF72709FC35848 |
| SHA-1 | A2E77765A44174337DA951A3B0AC6864072F2B95 |
| SHA-256 | 7938E4A3DE807A1082CCEFF045712E0B9CB9C2BA064F35E1C464DD1B4C2E2C26 |
| SSDEEP | 786432:vq5GIGVx8vImC/0EWTzW/s9qISaQEkgqu01coe6c9/+/60AouJ:vqAB9mC/tkAIrQoV09e6cb00 |
| TLSH | T1D397333C8B87848E7F754D40489E095CB0F570C39B5B7A7624B37E4997B38E9A7CA218 |