minor

modules/deeplearning/icing_cnn.py

@@ -805,6 +805,7 @@ class IcingIntensityNN:
 
                         with self.writer_train.as_default():
                             tf.summary.scalar('loss_trn', loss.numpy(), step=step)
+                            tf.summary.scalar('learning_rate', self.optimizer._decayed_lr('float32').numpy(), step=step)
                             tf.summary.scalar('num_train_steps', step, step=step)
                             tf.summary.scalar('num_epochs', epoch, step=step)