tiny comments

official/vision/beta/projects/yolo/modeling/layers/detection_generator.py

@@ -272,7 +272,7 @@ class YoloLayer(tf.keras.Model):
 
   @property
   def losses(self):
-    """ Generates a dictionary of losses to apply to each path 
+    """Generates a dictionary of losses to apply to each path 
     
     Done in the detection generator because all parameters are the same 
     across both loss and detection generator

official/vision/beta/projects/yolo/ops/box_ops.py

@@ -324,4 +324,4 @@ def aggregated_comparitive_iou(boxes1, boxes2=None, iou_type=0, beta=0.6):
     _, iou = compute_ciou(boxes1, boxes2, yxyx=True)
   else:
     iou = compute_iou(boxes1, boxes2, yxyx=True)
-  return iou
\ No newline at end of file
+  return iou

official/vision/beta/projects/yolo/ops/math_ops.py

@@ -58,4 +58,4 @@ def divide_no_nan(a, b):
   Returns:
     a `Tensor` representing a divided by b, with all nan values removed.
   """
-  return a / (b + 1e-9)
\ No newline at end of file
+  return a / (b + 1e-9)