[jira] [Resolved] (MINIFICPP-301) Create processor to apply arbitrary Tensor Flow graphs to tensors

["Aldrin Piri (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MINIFICPP-301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aldrin Piri resolved MINIFICPP-301.
-----------------------------------
    Resolution: Fixed

> Create processor to apply arbitrary Tensor Flow graphs to tensors
> -----------------------------------------------------------------
>
>                 Key: MINIFICPP-301
>                 URL: https://issues.apache.org/jira/browse/MINIFICPP-301
>             Project: NiFi MiNiFi C++
>          Issue Type: Improvement
>            Reporter: Andrew Christianson
>            Assignee: Andrew Christianson
>             Fix For: 0.3.0
>
>
> In many cases, it may be desirable to interpret/preprocess raw signal inputs on the edge, where MiNiFI runs, before sending semantic interpretations upstream.
> Tensor Flow is a data flow system for processing tensors, and many graphs exist or could be created which are well-suited to interpret signal inputs. It would therefore be useful to have a processor in MiNiFi - C++ which takes tensors (serialized as binary protocol buffers), feeds them into an input node on a supplied graph, reads tensors from an output node, and finally writes those output tensors as flow files containing binary protocol buffers.
> While there are many additional convenience utilities which would be helpful, such as converting various standard sensor types into tensors, the initial scope of this feature is a processor which processes arbitrary tensors through arbitrary graphs.



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