minor bugs for weatherBench3DCNN model

video_prediction_tools/hparams/era5/weatherBench/model_hparams_template.json

+
+{
+    "batch_size": 4,
+    "lr": 0.001,
+    "max_epochs":20,
+    "context_frames":12,
+    "loss_fun":"mse",
+    "opt_var": "0",
+    "shuffle_on_val":true
+}
+
+
+

video_prediction_tools/model_modules/video_prediction/models/weatherBench3DCNN.py

@@ -109,7 +109,6 @@ class WeatherBenchModel(object):
         return output
 
 
-
 class PeriodicPadding2D(object):
     def __init__(self, x, pad_width):
 
@@ -118,6 +117,7 @@ class PeriodicPadding2D(object):
     def call(self, inputs, **kwargs):
         if self.pad_width == 0:
             return inputs
+
         inputs_padded = tf.concat(
             [inputs[:, :, -self.pad_width:, :], inputs, inputs[:, :, :self.pad_width, :]], axis=2)
 
@@ -126,6 +126,7 @@ class PeriodicPadding2D(object):
         return inputs_padded
 
 
+
 class PeriodicConv2D(object):
 
     def __init__(self, filters, kernel_size, conv_kwargs={}):