Init

bookmark_border تنظيم صفحاتك في مجموعات يمكنك حفظ المحتوى وتصنيفه حسب إعداداتك المفضّلة.

try (Graph g = new Graph()) {
   Variable<TInt32> x = tf.variable(tf.constant(10));  // initAdd is called implicitly
   Variable<TInt32> y = tf.variable(tf.constant(20));  // idem
   Add<TInt32> z = tf.math.add(x, y);

   try (Session s = new Session(g)) {
     s.run(tf.init());  // initialize all variables

     try (TInt32 t = (TInt32)s.runner().fetch(z).run().get(0)) {
       assertEquals(30, t.data().getInt());
     
   }
 }
 }

// Building the model
 try (Graph g = new Graph()) {
   Variable<TInt32> x = tf.variable(tf.constant(10));  // initAdd is called implicitly
   Variable<TInt32> y = tf.variable(tf.constant(20));  // idem
   Add<TInt32> z = tf.withName("z").math.add(x, y);

   tf.init();  // add variables initializers to the graph, as Init.DEFAULT_NAME
   // ...exporting graph as a saved model...
 

 ...

 // Running the model
 try (SavedModelBundle model = SavedModelBundle.load("/path/to/model", "train")) {
   model.session().run(Init.DEFAULT_NAME);

   try (TInt32 t = (TInt32)s.runner().fetch("z").run().get(0)) {
     assertEquals(30, t.data().getInt());
   }
 }
 }