Result for 1E5A4C123F3DB5EE2B5D06A09B1B88C95C26E2E5

Query result

Key Value
FileName./usr/bin/convert_cifar_data
FileSize30888
MD5238472814E9ECCBC13007F7F4B8C9508
SHA-11E5A4C123F3DB5EE2B5D06A09B1B88C95C26E2E5
SHA-25626E65D69C9FB675C5FC6AC9E2313666D48F489B3B5B5F93A675F7C6A9BCC29ED
SSDEEP384:TSTW9aY4IU950Lqx1fl6oY5zEi2Uwyltl/6:uTWKf1f8pEFn
TLSHT1D7D2194EFA4F9E37DDD767B512A70266B31B7E28D6F1C6D2781842009BC19CE8E26344
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
FileSize1488724
MD5C6C19419A076065D494AE252D7231930
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+b2
SHA-10455C2DAA83F708488398302C19768906B119E90
SHA-256573878476AB7B01C41CC8501CFC86D76529A72C0064C49D7D2879B3C52B4CF97