Result for 37BDA1F21F24194D8BB37AC2193770F42268DB4D

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize26160
MD5A6B37522A9EE534E313DCB596E76A645
SHA-137BDA1F21F24194D8BB37AC2193770F42268DB4D
SHA-25675F3A0D6C21B51C3FD1EEA095A7AD655C76CE1FD2F180E797EC136198D83B777
SSDEEP384:WMEVl/vEZRpggTjNltlCFbJiL4CZgiYNz+d53xqjbGfKz/uQuUA:pEVcfTRlHCFbJiUDaWnGyzxb
TLSHT1D8C2C35BBB93D835E4D31BF03443B335A9307C31C2C7C28BB249AA9895A55D4B406F6B
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
FileSize1595376
MD53AE398742DDC4BFB17BAFB4F2C9588F2
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-tools-cpu
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-5+b1
SHA-1F88D900FAC687A927D99569298E6D0AFC0482DC8
SHA-256E1C688867D578EF649FC3F6D7E6638C9AE545DA68FB05A22E9969F41C3C7ADA5