Result for 2036C7BA276B5CA8D0B2F83601149E3EA4D389CF

Query result

Key Value
FileName./usr/bin/caffe-gtest
FileSize7661244
MD52605A2228A316BDD1DC4CBD26E5BAE54
SHA-12036C7BA276B5CA8D0B2F83601149E3EA4D389CF
SHA-256448BF07685138B2DCA36CFE9716F47A82E57044331DD902ED677A716ACE2DD30
SSDEEP49152:NOvWZ52/HZMS8AEmEYzBmLtIs4R7HAjCTZZSRC3TmZs5:wvYAPZCL7WHyRi
TLSHT1B676C6A7E680CD11DE801FF8FD7943A8A10316B290D5E7004651EB6D7FDB8EB42BD2A5
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
FileSize1425604
MD56CA227A0A63FFAAEF7B51A5BCE8E512F
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+b1
SHA-1C96E47C0FA7D8F6CB704AD18F82CEC5D714357B1
SHA-256187980E6DCC1B8A4BAF0F14CAB26380B5D79E59F227B10FDDFC20017081AD27C