code: def test_shape(self, input_param, input_shape, expected_shape):
      net = SwinUNETR(**input_param)
      with eval_mode(net):
          result = net(torch.randn(input_shape))
          self.assertEqual(result.shape, expected_shape)
  
file_path: MONAI/tests/test_swin_unetr.py
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  from unittest import skipUnless
  import torch
  from parameterized import parameterized
  from monai.apps import download_url
  from monai.networks import eval_mode
  from monai.networks.nets.swin_unetr import PatchMerging, PatchMergingV2, SwinUNETR, filter_swinunetr
  from monai.networks.utils import copy_model_state
  from monai.utils import optional_import
  from tests.utils import assert_allclose, pytorch_after, skip_if_downloading_fails, skip_if_no_cuda, skip_if_quick, testing_data_config
label_desc: Use image node_id 1 for calling the TestSWINUNETR obj's underlying member method code with example usage: obj.test_shape(input_param, input_shape, expected_shape) without return types