fixed linting and docstrings

official/vision/beta/evaluation/panoptic_quality_evaluator.py

@@ -79,7 +79,7 @@ class PanopticQualityEvaluator:
         instead of "stuff." Default to `None`, and it means categories are not
         classified into these two categories.
       rescale_predictions: `bool`, whether to scale back prediction to original
-        image sizes. If True, y_true['image_info'] is used to rescale
+        image sizes. If True, groundtruths['image_info'] is used to rescale
         predictions.        
     """
     self._pq_metric_module = panoptic_quality.PanopticQuality(

official/vision/beta/projects/panoptic_maskrcnn/configs/panoptic_maskrcnn.py

@@ -174,8 +174,8 @@ def panoptic_fpn_coco() -> cfg.ExperimentConfig:
     is_thing.append(True if idx <= num_thing_categories else False)
 
   config = cfg.ExperimentConfig(
-    runtime=cfg.RuntimeConfig(
-      mixed_precision_dtype='bfloat16', enable_xla=True),
+      runtime=cfg.RuntimeConfig(
+          mixed_precision_dtype='bfloat16', enable_xla=True),
       task=PanopticMaskRCNNTask(
           init_checkpoint='gs://cloud-tpu-checkpoints/vision-2.0/resnet50_imagenet/ckpt-28080',  # pylint: disable=line-too-long
           init_checkpoint_modules=['backbone'],

official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py

@@ -131,7 +131,7 @@ class PasteMasks(tf.keras.layers.Layer):
 
   def __init__(self, output_size: List[int],
                grid_sampler, **kwargs):
-    """Generates panoptic segmentation masks.
+    """Resizes and pastes instance masks to match image size.
 
     Args:
       output_size: A `List` of integers that represent the height and width of