self code-review to clean up

research/object_detection/core/losses.py

@@ -225,7 +225,7 @@ class WeightedGIOULocalizationLoss(Loss):
 
     Args:
       prediction_tensor: A float tensor of shape [batch_size, num_anchors, 4]
-        representing the predicted boxes in the form
+        representing the decoded predicted boxes
       target_tensor: A float tensor of shape [batch_size, num_anchors, 4]
         representing the decoded target boxes
       weights: a float tensor of shape [batch_size, num_anchors]

research/object_detection/core/losses_test.py

@@ -28,7 +28,6 @@ from object_detection.core import box_list
 from object_detection.core import losses
 from object_detection.core import matcher
 from object_detection.utils import test_case
-from object_detection.utils import ops
 
 
 class WeightedL2LocalizationLossTest(test_case.TestCase):