Result for 2B1B2017AB9EBC74747456D8C492DDD37D7F9E30

Query result

Key Value
FileName./usr/bin/upgrade_solver_proto_text
FileSize34392
MD514CB194C88FC69B6314F7B3E44E71106
SHA-12B1B2017AB9EBC74747456D8C492DDD37D7F9E30
SHA-25686A29F87A1A26AA38C221705AC05BFAFF16708144DB2ABB217F969C7044AED5C
SSDEEP384:K3qnpRs5KAXyFQixycoggTjNltcP+ZVtPohcoIGyCuOdCi1n+QKAcne2+wAlZiI3:KvbXyFcFfTRlKPCVcIGFdPmalZj7
TLSHT15BF20A17B754C8B7D09385741243A3BA46323A51E123DAD3B7CDEB6C65212C8DF397A8
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
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