code: def test_input_shapes(self, masks):
      out_boxes, _ = masks_to_boxes(masks)
      target_length = 1 if masks.dim() == 2 else masks.shape[0]
      assert len(out_boxes) == target_length
      assert out_boxes[0].shape == torch.Size((5, 4))
  
imports: import pytest
  import torch
  from torch import Tensor
  from anomalib.data.utils.boxes import boxes_to_anomaly_maps, boxes_to_masks, masks_to_boxes
label_desc: Use image node_id 2 for calling the TestMasksToBoxes obj's underlying member method code with example usage: obj.test_input_shapes(masks) without return types