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PiperOrigin-RevId: 753187418

Author: h-joo

tensorflow_examples/lite/model_maker/core/task/model_spec/object_detector_spec.py

@@ -374,7 +374,7 @@ def evaluate_tflite(self,
     progbar = tf.keras.utils.Progbar(steps)
     for i, (images, labels) in enumerate(dataset):
       # Get the output result after post-processing NMS op.
-      _, nms_scores, nms_classes, nms_boxes = lite_runner.run(images)
+      _, nms_scores, nms_classes, nms_boxes = lite_runner.run(images)  # pytype: disable=bad-unpacking
 
       # CLASS_OFFSET is used since label_id for `background` is 0 in label_map
       # while it's not actually included the model. We don't need to add the