8a49eb334598d6bea0cddf8078a49547775a423a,examples/securenn/network_b.py,PredictionClient,receive_output,#PredictionClient#Any#Any#,161

Before Change

            prediction = tf.argmax(likelihoods, axis=1)
            eq_values = tf.equal(prediction, tf.cast(y_true, tf.int64))
            acc = tf.reduce_mean(tf.cast(eq_values, tf.float32))
            op = tf.Print([], [y_true], summarize=self.BATCH_SIZE, message="EXPECT: ")
            op = tf.Print(op, [prediction], summarize=self.BATCH_SIZE, message="ACTUAL: ")
            op = tf.Print([op], [acc], summarize=self.BATCH_SIZE, message="Acuraccy: ")
            return op


model_trainer = ModelTrainer()

After Change

            prediction = tf.argmax(likelihoods, axis=1)
            eq_values = tf.equal(prediction, tf.cast(y_true, tf.int64))
            acc = tf.reduce_mean(tf.cast(eq_values, tf.float32))
            op=[]
            tf.print([], [y_true], summarize=self.BATCH_SIZE, message="EXPECT: ")
            op=op
            tf.print(op, [prediction], summarize=self.BATCH_SIZE, message="ACTUAL: ")
            op=[op]
            tf.print([op], [acc], summarize=self.BATCH_SIZE, message="Acuraccy: ")
            return op


model_trainer = ModelTrainer()

Instances