Result for 96EAD8F0809E316E88B464ACA27D935BC1FF7C92

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_binary
FileSize35136
MD515605AFD7F279444DF367B730946A10A
SHA-196EAD8F0809E316E88B464ACA27D935BC1FF7C92
SHA-2569B4C170BBD6EEB4F3E5DD58A12E0AC47531952E159149C1F0CC9BD71BCE08E78
SSDEEP384:aif8ACIbFQJNnGkh15D5JCoO6a+3q+POVMo7igVjpJ1WNqWWx:aCRC+F4PhjlJCoxa+3q+xiiOD1h
TLSHT165F2B71776A88DBFC4448C3042C7933766327895D6624D9B33C8EB392E01A949F7DFA9
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
FileSize1623612
MD507D8F682A54C5CD4D7A329907D93275F
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-1043FDEDD2C4E20A6E638DC77C0DE58CA6965BF29
SHA-256670F8B30A5A6630897B2A21B381A6245D739320FB1BCEF4C789910F82F03116A