Andrew Christianson created MINIFICPP-301:
---------------------------------------------
Summary: 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
