How to input data and recive returned results after loading the categorization model

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
25/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
java, scala, tensorflow
Domain
machine-learning

Research direction

Start with the tensorflow-core-platform 0.4.1 dependency and the Scala code using SavedModelBundle, session, runner, feed, and fetch. Check the TensorFlow Java API for the supported way to construct the input tensor and retrieve the returned result; done means the loading, input, and output flow is documented for this example.

Written by the indexing model from the issue text.

Description

dependency:

            <groupId>org.tensorflow</groupId>
            <artifactId>tensorflow-core-platform</artifactId>
            <version>0.4.1</version>
        </dependency>

code:

import org.{tensorflow=>tf}
val result = tf.SavedModelBundle
      .load("D:\\model\\categorization","serve")
      .session()
      .runner()
      .feed("serving_default_inputs:0", tf.create(List("....", "....")))
      .fetch("StatefulPartitionedCall:0")
      .run()
      .get(0);

However, no any create method found within tf, why ??

Dominant language
Java
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Forks
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