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https://issues.apache.org/jira/browse/MINIFICPP-301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16248979#comment-16248979
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ASF GitHub Bot commented on MINIFICPP-301:
------------------------------------------
GitHub user achristianson opened a pull request:
https://github.com/apache/nifi-minifi-cpp/pull/183
MINIFICPP-301 Added initial implementation of TFApplyGraph which appl…
…ies arbitrary TensorFlow graphs to tensor protocol bufferss in the data
flow
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This closes #183
----
commit e09f490e4a95cc4c6b868544428a66b50ad8ac92
Author: Andy I. Christianson <[email protected]>
Date: 2017-11-12T20:11:00Z
MINIFICPP-301 Added initial implementation of TFApplyGraph which applies
arbitrary TensorFlow graphs to tensor protocol bufferss in the data flow
----
> 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
>
> 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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