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https://issues.apache.org/jira/browse/MINIFICPP-301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16251711#comment-16251711
]
ASF GitHub Bot commented on MINIFICPP-301:
------------------------------------------
Github user achristianson commented on a diff in the pull request:
https://github.com/apache/nifi-minifi-cpp/pull/183#discussion_r150893821
--- Diff: extensions/tensorflow/TFApplyGraph.h ---
@@ -0,0 +1,117 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef NIFI_MINIFI_CPP_TFAPPLYGRAPH_H
+#define NIFI_MINIFI_CPP_TFAPPLYGRAPH_H
+
+#include <atomic>
+
+#include <core/Resource.h>
+#include <core/Processor.h>
+#include <tensorflow/core/public/session.h>
+#include <concurrentqueue.h>
+
+namespace org {
+namespace apache {
+namespace nifi {
+namespace minifi {
+namespace processors {
+
+class TFApplyGraph : public core::Processor {
+ public:
+ explicit TFApplyGraph(const std::string &name, uuid_t uuid = nullptr)
+ : Processor(name, uuid),
+ logger_(logging::LoggerFactory<TFApplyGraph>::getLogger()) {
+ }
+
+ static void hello();
--- End diff --
Good catch. Will fix.
> 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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