code: def test_different_shape(self):
      with skip_if_downloading_fails():
          loss = PerceptualLoss(spatial_dims=2, network_type="squeeze")
      tensor = torch.randn(2, 1, 64, 64)
      target = torch.randn(2, 1, 32, 32)
      with self.assertRaises(ValueError):
          loss(tensor, target)
  
file_path: MONAI/tests/test_perceptual_loss.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.losses import PerceptualLoss
  from monai.utils import optional_import
  from tests.utils import SkipIfBeforePyTorchVersion, skip_if_downloading_fails, skip_if_quick
label_desc: Use image node_id 3 for calling the TestPerceptualLoss obj's underlying member method code with example usage: obj.test_different_shape() without return types