Result for 02BE88DF2275F80209F276CEE9E825A6AECE37EE

Query result

Key Value
CRC32ADBD0C2A
FileNameSpatialUpSamplingBilinear.lua
FileSize4384
MD5438563C6ACAD2338F59CBD028661E3E0
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Health & Fitness', 'Language': 'Unknown', 'MfgCode': '85621', 'OpSystemCode': '817', 'ProductCode': '210257', 'ProductName': 'Sleep Cycle: Sleep analysis & Smart alarm clock', 'ProductVersion': '3.3.0.3575-rel.'}
RDS:package_id210257
SHA-102BE88DF2275F80209F276CEE9E825A6AECE37EE
SHA-2565424EBD1BF70F6F0C85ECE00111C77C6C1E61D9B175392DAA3E0BEF29045805B
SSDEEP48:NAJw5YMkWN6jy3onV/Kbflz2Q8b5z519lKpoEp6pyJJBX7Xk/PX2XJ75Kej7fLnI:NuwstVSbZ2xnGeKFzrtYZP8FlZPU
SpecialCode
TLSHT12591AE276B25C574825F8FBAE5E7684FB94A40321A6B1911B0BD0C102F1A1F86B71FFD
dbnsrl_android
insert-timestamp1648996112.7994678
sourceRDS_2022.03.1_android.db
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize429016
MD57ABC85C2F999D67D2216968FADE716E7
PackageDescriptionNeural Network Package for Torch Framework This package provides an easy and modular way to build and train simple or complex neural networks using Torch Framework: . * Modules are the bricks used to build neural networks. Each are themselves neural networks, but can be combined with other networks using containers to create complex neural networks: . + Module: abstract class inherited by all modules. + Containers: container classes. + Transfer functions: non-linear functions. + Simple layers: simple network layer like `Linear`. + Table layers: layers for manipulating `table`s. + Convolution layers: several kinds of convolutions. . * Criterions compute a gradient according to a given loss function given an input and a target: . + Criterions: a list of all criterions. + `MSECriterion`: the Mean Squared Error criterion used for regression; + `ClassNLLCriterion`: the Negative Log Likelihood criterion used for classification. . * Additional documentation: . + Overview of the package essentials including modules, containers and training. + Training: how to train a neural network using optim. + Testing: how to test your modules. + Experimental Modules: a package containing experimental modules and criteria. . This package is a core part of the Torch Framework.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelua-torch-nn
PackageSectioninterpreters
PackageVersion0~20171002-g8726825+dfsg-4
SHA-125E605E23EE82554F485491EC3A814845BF18E2F
SHA-256D22F4C12746CA1AF8975A053AB4D326B3A71F8AED37AEBB9C51DA728DD80D2B7