diff --git a/odak/learn/perception/learned_perceptual_losses.py b/odak/learn/perception/learned_perceptual_losses.py
index 219897ba..d9391b44 100644
--- a/odak/learn/perception/learned_perceptual_losses.py
+++ b/odak/learn/perception/learned_perceptual_losses.py
@@ -22,7 +22,7 @@ def __init__(self, device = torch.device('cpu')):
             logging.warning(e)
 
 
-    def forward(self, predictions, targets, dim_order = 'CHW'):
+    def forward(self, predictions, targets, dim_order = 'BCHW'):
         """
         Parameters
         ----------
@@ -31,7 +31,7 @@ def forward(self, predictions, targets, dim_order = 'CHW'):
         targets    h  : torch.tensor
                         The ground truth images.
         dim_order     : str
-                        The dimension order of the input images. Defaults to 'CHW' (channels, height, width).
+                        The dimension order of the input images. Defaults to 'BCHW' (channels, height, width).
 
         Returns
         -------
@@ -42,7 +42,7 @@ def forward(self, predictions, targets, dim_order = 'CHW'):
             if len(predictions.shape) == 3:
                 predictions = predictions.unsqueeze(0)
                 targets = targets.unsqueeze(0)
-            l_ColorVideoVDP = self.cvvdp.loss(predictions, targets, dim_order = dim_order)
+            l_ColorVideoVDP = self.cvvdp.predict(predictions, targets, dim_order = dim_order)[0]
             return l_ColorVideoVDP
         except Exception as e:
             logging.warning('ColorVideoVDP failed to compute.')
@@ -68,7 +68,7 @@ def __init__(self, device = torch.device('cpu')):
             logging.warning(e)
 
 
-    def forward(self, predictions, targets, dim_order = 'CHW'):
+    def forward(self, predictions, targets, dim_order = 'BCHW'):
         """
         Parameters
         ----------
@@ -77,7 +77,7 @@ def forward(self, predictions, targets, dim_order = 'CHW'):
         targets       : torch.tensor
                         The ground truth images.
         dim_order     : str
-                        The dimension order of the input images. Defaults to 'CHW' (channels, height, width).
+                        The dimension order of the input images. Defaults to 'BCHW' (channels, height, width).
 
         Returns
         -------