Result for 044263498D49D54411D57A715D2F927BB8D7DBEA

Query result

Key Value
FileName./usr/bin/caffe
FileSize71320
MD507F8AD8FDA24A7E4BFDBF23946C807D2
SHA-1044263498D49D54411D57A715D2F927BB8D7DBEA
SHA-256BC4E09B5E6BAB388F8E8E2E219A13C9BA6A72AB48E14F91666F262167FFC1A2D
SSDEEP1536:3jAfN5lPG/p8p5vsLVLF0wvuc5zjfxz5qgdZHv2aHUyBbByY4P:3jAfN5lPG/p8p5vsLWazNzg6ZHv2aHUb
TLSHT1EF631953AE47EE63DCC729F1305B6BE544735CC28B544A1AD14CC87C8FA1BEC952ABA0
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
FileSize1401296
MD54400BB422DBA327EAAED850ABFEFF1B4
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+b2
SHA-14E2792CD4C968F2CD4EFA816515306026EBD9D3D
SHA-256EFBDAD129F286FC72AA5762191CFDDA7470857AEC4F210766277433024ED00AE