fix some cf issues

modules/deeplearning/unet_l1b_l2.py

@@ -13,7 +13,7 @@ import h5py
 
 LOG_DEVICE_PLACEMENT = False
 
-PROC_BATCH_SIZE = 10
+PROC_BATCH_SIZE = 2
 PROC_BATCH_BUFFER_SIZE = 50000
 
 NumClasses = 2
@@ -188,7 +188,7 @@ class UNET:
 
         self.inputs.append(self.X_img)
         # self.inputs.append(tf.keras.Input(shape=(None, None, 5)))
-        self.inputs.append(tf.keras.Input(shape=(None, None, 6)))
+        self.inputs.append(tf.keras.Input(shape=(None, None, self.n_chans)))
 
         self.DISK_CACHE = False
 
@@ -861,7 +861,7 @@ class UNET:
         train_label_files.sort()
         valid_label_files.sort()
 
-        self.setup_pipeline(train_data_files, train_label_files, valid_data_files, valid_label_files)
+        self.setup_pipeline(train_data_files, train_label_files, valid_data_files, valid_label_files, 50000)
         self.build_model()
         self.build_training()
         self.build_evaluation()