Result for 8D3D69C9DE77F936240CB492A6E2EBF903992576

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_text
FileSize35136
MD549DCBA275ED87D4D50E412EAC64380F3
SHA-18D3D69C9DE77F936240CB492A6E2EBF903992576
SHA-256AF75B50541DA9622629B2E50DD260A7EC2EDA1ABDA76521E1B6379FB634E7BA4
SSDEEP384:U6OHoACIbFQJlGah1AaxbJCIOKa+Hq+fOVZ4LvCQVDpZBWVuWWxT:U6WdC+FYNhT5JCIha+Hq+0SCezB9
TLSHT14FF2B71776A88DBFC4448C3002C7933756327895D66249AB33C8EB392E41E949F7DFA9
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
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