Result for 70D201710F3551F867AD274DF668D8DA12F6D122

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize26712
MD577177B1574E434D19FB2B43E94BC55D4
SHA-170D201710F3551F867AD274DF668D8DA12F6D122
SHA-256A40A5488119DD3CC8CF11D2013E433C47C4618F897254FD1948690233074399E
SSDEEP384:LoRwQcWq/V6Q05YJ7wHPraJo3QA/hjMGNoE:td9jqHzv/MGR
TLSHT108C2C74B66429E7FD4D05B7033CB52B1B2307C35E771416FB680A7362692A8CD716B87
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
FileSize2168380
MD5E30B08373BF3CBDA69A4412E6A933A5A
PackageDescriptionTools for fast, open framework for Deep Learning (CUDA) 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 with CUDA. . Issue this command at the root of caffe source tree for a unit test: $ caffe-gtest --gtest_shuffle
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamecaffe-tools-cuda
PackageSectioncontrib/science
PackageVersion1.0.0+git20180821.99bd997-2+b1
SHA-17FBADB9A36D042E3003E32D0AEF97567C148D742
SHA-25604EA22C807C048E71A9F8EC231C4CA5980B0EF8810673DF65436440490A41E9A