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  1. Apache NiFi MiNiFi C++
  2. MINIFICPP-301

Create processor to apply arbitrary Tensor Flow graphs to tensors

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Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 0.3.0
    • None

    Description

      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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              achristianson Andrew Christianson
              achristianson Andrew Christianson
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                Updated:
                Resolved: