code: def test_shape(self, input_param, input_shape, target_shape):
      with skip_if_downloading_fails():
          loss = PerceptualLoss(**input_param)
      result = loss(torch.randn(input_shape), torch.randn(target_shape))
      self.assertEqual(result.shape, torch.Size([]))
  
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 1 for calling the TestPerceptualLoss obj's underlying member method code with example usage: obj.test_shape(input_param, input_shape, target_shape) without return types