Result for 6F7242130ECB0EDD64598920FD03B3A126FFB9D2

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_text
FileSize30968
MD5EB0AD2834FF51ACC7CC58F0C04047099
SHA-16F7242130ECB0EDD64598920FD03B3A126FFB9D2
SHA-25673768F6A68594F6F5D0666F5A38EFCA21D55681DE20B3C0F543580F9ADCC7003
SSDEEP384:R6ot+ACIbFQYJVW2T7U65Q36T+JaTeZBm2NibO0m2GafdsofccFJzs:Iot/C+FRP8P3nQTmBXijKKDfX
TLSHT113D2B71AF61EEC6BD681567811932373633375C5E3A78BC232C99A186E426C88F34ED4
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
FileSize1488724
MD5C6C19419A076065D494AE252D7231930
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+git20180821.99bd997-8+b2
SHA-10455C2DAA83F708488398302C19768906B119E90
SHA-256573878476AB7B01C41CC8501CFC86D76529A72C0064C49D7D2879B3C52B4CF97