Result for 01C8732C657F7BE0D3EB84D05F34FEEF024E68A4

Query result

Key Value
FileName./usr/bin/caffe-gtest
FileSize8722020
MD5D7B2AA83E238CFAFEDD3149D9A65EFFA
SHA-101C8732C657F7BE0D3EB84D05F34FEEF024E68A4
SHA-256B571EAD5D77CD206E72C62F31606713362F2A60CBA74C0DFE457388E26C4C600
SSDEEP196608:XN65cXmdUFqF5Jiiqs4YqFlC4En798NRXgFYm/4ZZ4kHoLgSBXKkNkFzW0p3i9gO:XEcXmdUFqFaiqs4YqFlC4En798NRXgFK
TLSHT161960A2BEB62DC21ED530EF44D62ABF44000253290C7C7456781EFAD6CA69E19B8D7F6
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
FileSize1615424
MD5F590E8C725B51E26E41319514C4AF15B
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+b1
SHA-1C3019382D469729BF91C193747775BCAA2C0CAF3
SHA-256FBF4735B34E120C793C0C5B742694440AC60867F01098CE13DC7483490876359