Result for 28C708E3BAE4F3E54AC8E787B0BD5D495B6C9A05

Query result

Key Value
FileName./usr/bin/caffe-gtest
FileSize8546672
MD5C4E74EC43B5CB40BD65A515C74A17EAF
SHA-128C708E3BAE4F3E54AC8E787B0BD5D495B6C9A05
SHA-256BF878A1FB5D12B53D5995887C6D95FEE89F25F38F357E725B933718CBE89C897
SSDEEP49152:1dFE4VCOCj8Y6ihHrGm37O/VvH/zzuK/BRrL+R4ARAlyx:1dFESCZjn6ihHrB37O9vHfuaBR
TLSHT1DF86186BF68DFC01EE47BEBC8D6603798093249150A4C7902761EB6DADD39C1D6BD2B0
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize1480176
MD584B0955F9AB24914699A21F590630A73
PackageDescriptionTools for fast, open framework for Deep Learning (CPU_ONLY) Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley AI Research Lab (BAIR) and community contributors. . It contains caffe executables, configured as CPU_ONLY. . Issue this command at the root of caffe source tree for a unit test: $ caffe-gtest --gtest_shuffle --gtest_filter="-*GPU*"
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamecaffe
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-7+b1
SHA-19C5BBCA4874E0CFC12185F6FF17CC0F7EDD48E65
SHA-256094A1B382DD4EEF4EED4B3759E0C31D051DA7D0356881E45C64E532F3EA203A9