Result for 089D9541FC22FFAE9B072DD417EA3195250AF457

Query result

Key Value
FileName./usr/bin/convert_cifar_data
FileSize26792
MD58337F5E78C1E0C55D8CDF5D805CFF52E
SHA-1089D9541FC22FFAE9B072DD417EA3195250AF457
SHA-25686EFBECB0F5A0D395CEA6170DD9209D36A85922DB870324764D306A0EA14AFB6
SSDEEP384:YHSRd0GY4IUk5DAGq3apHeic3F3gcvgzfnDwIel:YyRdlh1KdgVQcgLnsI
TLSHT15FC2E855E54EBC3BC8CAB7BD369B0336E332AC5C971982F678088A815F91DDC4D196C2
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
FileSize1480176
MD584B0955F9AB24914699A21F590630A73
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-19C5BBCA4874E0CFC12185F6FF17CC0F7EDD48E65
SHA-256094A1B382DD4EEF4EED4B3759E0C31D051DA7D0356881E45C64E532F3EA203A9