Result for 0D19E80C86E24605364FD528756E178376D645CF

Query result

Key Value
FileName./usr/bin/convert_cifar_data
FileSize22096
MD58022812BFA84F750088D4CE56D5ECF24
SHA-10D19E80C86E24605364FD528756E178376D645CF
SHA-2564828BB110F94ADF598BDAA4356CEB2466D9810035A06B1FEA7CCD822B5716094
SSDEEP384:u8Shq3rhaD4Zeb2cSkRZCepZAJ0qb4D7EcosFowShE1:uDhq3rTbQw1bcOsi
TLSHT1E5A29483AD439F3BCCC03B3C316B071AA7608DF9D6DE5306D95C6918AFE59984DA6B40
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
FileSize1402440
MD52AB1C46EC0D80F4D9D3B9F80B99565C6
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-159B40F5C667890C03FBD1D61A40A6B202D88E763
SHA-25690617B88B3B54FA5C85611ADD31013CB26F4E4636299CFDA5C49373A6F5AC1BE