Result for 09BFACE058E25C3501AD28A79A33966C33DE938D

Query result

Key Value
FileName./usr/bin/caffe-gtest
FileSize8697444
MD505725B8D5F63171A5B3E0FD024223B9D
SHA-109BFACE058E25C3501AD28A79A33966C33DE938D
SHA-256F4A13FA05CF2E2C75F274A36CF57E34C0D154CFF5FAD5BE6700EAEE9C48A4F36
SSDEEP196608:7GkZ5JUai5XC/7DrvTWdlonoy2CHGPbJryxwaO/nxyNfkbuabSnTswq7kRpoD/uK:7GcJUaUXC/7Dn6lonoy2CHGPbJryxwa0
TLSHT1D6962B2BEB22DC31ED530EF84D62ABF4800025325087C7456785EF9D6CA69E19B8D7F6
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
FileSize1612220
MD5803F122CF11682DD8A6384EEB52508C3
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-18FD83356630813B20E5111D71FF87B9616234867
SHA-256DF30A6BCFB53983917592CE64BED609AD5891CDA0A9C2185927DACEA4B5882FE