Result for 919691C02A81BF0C56A1B5C0DBD0710EF7B7543E

Query result

Key Value
FileName./usr/bin/caffe-gtest
FileSize8865380
MD52672BF99D6B4800338A11721C9710F92
SHA-1919691C02A81BF0C56A1B5C0DBD0710EF7B7543E
SHA-256066850F4F1161D1BB9D97D59AEA2E0461E6DEAE0BEB68D225364A06DBCDCEB13
SSDEEP196608:C3H5vydIMU5mBKGDzkkRACswbWNUi69vus0Q8wrZBxYh+roeZ+m7uHdmbdgoKstL:C3H5vydIM6+KGDzkkRACswbWNL69vusf
TLSHT10B962A2BE760DC31ED230DF49E62A3F0400425329097C7956781EFAD6CA69D29B8D7F6
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize1645360
MD590EE77B357FEE8D0CBB34276484807A8
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-108075917C3DBF8A2286BC43BB8AA564794965DBE
SHA-2568CF34C6C5C2D46E4651EE52AFE0A893B1430607E231255DCF5CD098BEB1134E0