Result for 29C500B3E9A41BE10F31C2C43E4820D2CC65229E

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_text
FileSize30968
MD5BEA54AB27721686588FE8266AF3AE545
SHA-129C500B3E9A41BE10F31C2C43E4820D2CC65229E
SHA-256F1575B3766AFA2EFEB2EF8F222A738F5E3AB60BBECC3E12FFFFD3282093B8D11
SSDEEP384:1c36e0WYgmNA9IbFNL6x3Bb8N1bQTzHK3zS6kKqetMh7cukqQqJhc:re8gmS9+FkxRwfbQ9etMex
TLSHT15AD2B61FF209D82BD98296741693536663337894D3B78BD332899A286F432CC5F38ED4
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