code: def test_senet_shape(self, net, net_args):
      input_data = torch.randn(2, 2, 64, 64, 64).to(device)
      expected_shape = (2, 2)
      net = net(**net_args).to(device)
      with eval_mode(net):
          result = net(input_data)
          self.assertEqual(result.shape, expected_shape)
  
imports: from __future__ import annotations
  import os
  import unittest
  from typing import TYPE_CHECKING
  from unittest import skipUnless
  import torch
  from parameterized import parameterized
  import monai.networks.nets.senet
  from monai.networks import eval_mode
  from monai.networks.nets import SENet, SENet154, SEResNet50, SEResNet101, SEResNet152, SEResNext50, SEResNext101
  from monai.utils import optional_import
  from tests.utils import test_is_quick, test_pretrained_networks, test_script_save, testing_data_config
label_desc: Use image node_id 1 for calling the TestSENET obj's underlying member method code with example usage: obj.test_senet_shape(net, net_args) without return types