snapshot...

modules/deeplearning/cnn_cld_frac_mod_res.py

@@ -603,6 +603,7 @@ class SRCNN:
         self.test_accuracy(labels, pred)
 
     # @tf.function(input_signature=[tf.TensorSpec(None, tf.float32), tf.TensorSpec(None, tf.float32)])
+    # decorator commented out because pred.numpy(): pred not evaluated yet.
     def predict(self, inputs, labels):
         labels = tf.squeeze(labels)
         pred = self.model([inputs], training=False)