Example
public static void main( String[] args ) throws IOException
{
// good idea to print the version number, 1.2.0 as of this writing
System.out.println(TensorFlow.version());
final int NUM_PREDICTIONS = 1;
// load the model Bundle
try (SavedModelBundle b = SavedModelBundle.load("/tmp/model", "serve")) {
// create the session from the Bundle
Session sess = b.session();
// create an input Tensor, value = 2.0f
Tensor x = Tensor.create(
new long[] {NUM_PREDICTIONS},
FloatBuffer.wrap( new float[] {2.0f} )
);
// run the model and get the result, 4.0f.
float[] y = sess.runner()
.feed("x", x)
.fetch("y")
.run()
.get(0)
.copyTo(new float[NUM_PREDICTIONS]);
// print out the result.
System.out.println(y[0]);
}
}
