Result for 2AE397E5ED579A28D94F6D7C5DDC2433F0E97900

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize23188
MD5E7C456E7981D79E39B2041C0C740341D
SHA-12AE397E5ED579A28D94F6D7C5DDC2433F0E97900
SHA-256E22C1E648886CD9B59FED5A72AE5072BEC052BA9BD0C0FFCAB01CD2B9620ECB4
SSDEEP384:8OjW3rmXAEJrmGFoCIfNptgxeGWG7uVQP+VipK2h2R2dO+jntPF+b0PgY6jZ2oYW:8OjYr+7wfntCeGWG7NP+VipK2h2R2dOj
TLSHT1CCA29713BF824FF7C8C3DE7029AF6311C1FE9D6EA49D5633B859C54426928841D67B48
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
FileSize1182804
MD566B687EBB154A10AE6C1420919AED222
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-1246B443182D2757C1FE8E16E6B81CD78043BD6B9
SHA-25607CCC0638ECB19F4EF58263D838E795D4519028AE4A1E00620ADCE82B9B43AE2