tensorflow - Serving the inception model v3 in Java using SavedModelBundle -


using org.tensorflow:tensorflow:1.3.0-rc0.

i have generated inception model checkpoints per tutorial https://tensorflow.github.io/serving/serving_inception:

inception_saved_model --checkpoint_dir=/root/xmod/inception-v3

this went ok , generated saved_model.pb , variables/ subdirectory data , moved content /tmp/inception-model directory. i'm trying use model converting https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/examples/labelimage.java loading model no errors:

savedmodelbundle modelbundle = savedmodelbundle.load("/tmp/inception-model", "serve");

now trying formulate query (similar https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/examples/labelimage.java#l112) i'm stuck trying figure out how use feed , fetch methods:

    private static float[] executeinceptiongraph(savedmodelbundle modelbundle, tensor image) throws exception {      tensor result = modelbundle.session().runner().feed(???).fetch(???).run().get(0);

any how write query appreciated.

you need feed input (here tensor image) associated name of node in graph, link posted seems tutorial uses "images" (see here https://github.com/tensorflow/serving/blob/master/tensorflow_serving/example/inception_client.py#l49, code python query server built in tutorial https://tensorflow.github.io/serving/serving_inception). fetch output node name too, looking @ sample of server response here https://tensorflow.github.io/serving/serving_inception can "classes" or "scores" depending 1 you'd have.

so 1 of 2 command should work:

tensor result = modelbundle.session().runner().feed("images", image).fetch("classes").run().get(0);

or

 tensor result = modelbundle.session().runner().feed("images", image).fetch("scores").run().get(0);

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