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https://issues.apache.org/jira/browse/MINIFICPP-301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16251504#comment-16251504
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ASF GitHub Bot commented on MINIFICPP-301:
------------------------------------------
Github user minifirocks commented on a diff in the pull request:
https://github.com/apache/nifi-minifi-cpp/pull/183#discussion_r150858096
--- Diff: CMakeLists.txt ---
@@ -155,6 +155,13 @@ if (ENABLE_USB_CAMERA)
createExtension(USB-CAMERA-EXTENSIONS "USB CAMERA EXTENSIONS" "This
enables USB camera support" "extensions/usb-camera"
"${TEST_DIR}/usb-camera-tests" "TRUE" "thirdparty/libuvc-0.0.6")
endif()
+## TensorFlow extensions
+## Disabled by default because TF can be complex/environment-specific to
build
+option(ENABLE_TENSORFLOW "Disables the TensorFlow extensions." OFF)
+if (ENABLE_TENSORFLOW)
+ createExtension(TENSORFLOW-EXTENSIONS "TENSORFLOW EXTENSIONS" "This
enables TensorFlow support" "extensions/tensorflow"
"${TEST_DIR}/tensorflow-tests")
--- End diff --
does TF provide source built as third party library. in case we want to
build for other target like ARM, etc
> 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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