Change testcase that been affected by changing the output and input

format:

1. Change rpn_features_to_crop into a list
2. change rpn_box_predictor_features into a list

research/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py

@@ -484,8 +484,9 @@ class FasterRCNNMetaArchTest(
               'mask_predictions':
                   mask_predictions,
               'rpn_features_to_crop':
-                  rpn_features_to_crop
+                  [rpn_features_to_crop]
           }, true_image_shapes)
+      print("here")
       self.assertIn('detection_features', detections)
       return (detections['detection_boxes'], detections['detection_scores'],
               detections['detection_classes'], detections['num_detections'],

research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py

@@ -479,8 +479,8 @@ class FasterRCNNMetaArchTestBase(test_case.TestCase, parameterized.TestCase):
 
       preprocessed_inputs, true_image_shapes = model.preprocess(images)
       prediction_dict = model.predict(preprocessed_inputs, true_image_shapes)
-      return (prediction_dict['rpn_box_predictor_features'],
-              prediction_dict['rpn_features_to_crop'],
+      return (prediction_dict['rpn_box_predictor_features'][0],
+              prediction_dict['rpn_features_to_crop'][0],
               prediction_dict['image_shape'],
               prediction_dict['rpn_box_encodings'],
               prediction_dict['rpn_objectness_predictions_with_background'],
@@ -601,9 +601,9 @@ class FasterRCNNMetaArchTestBase(test_case.TestCase, parameterized.TestCase):
 
     def compare_results(results, expected_output_shapes):
       """Checks if the shape of the predictions are as expected."""
-      self.assertAllEqual(results[0].shape,
+      self.assertAllEqual(results[0][0].shape,
                           expected_output_shapes['rpn_box_predictor_features'])
-      self.assertAllEqual(results[1].shape,
+      self.assertAllEqual(results[1][0].shape,
                           expected_output_shapes['rpn_features_to_crop'])
       self.assertAllEqual(results[2].shape,
                           expected_output_shapes['image_shape'])
@@ -746,8 +746,8 @@ class FasterRCNNMetaArchTestBase(test_case.TestCase, parameterized.TestCase):
               result_tensor_dict['anchors'],
               result_tensor_dict['rpn_box_encodings'],
               result_tensor_dict['rpn_objectness_predictions_with_background'],
-              result_tensor_dict['rpn_features_to_crop'],
-              result_tensor_dict['rpn_box_predictor_features'],
+              result_tensor_dict['rpn_features_to_crop'][0],
+              result_tensor_dict['rpn_box_predictor_features'][0],
               result_tensor_dict['final_anchors'],
              )