code: def make_error_case():
      error_dummy_backbones = DummyEncoder.get_encoder_names()
      error_resnet_backbones = ResNetEncoder.get_encoder_names()
      error_backbones = error_dummy_backbones + error_resnet_backbones
      error_param_list = []
      for backbone in error_backbones:
          error_param_list.append(
              [
                  {
                      "in_channels": 3,
                      "out_channels": 2,
                      "backbone": backbone,
                      "pretrained": True,
                      "spatial_dims": 3,
                  }
              ]
          )
      return error_param_list
  
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.blocks.encoder import BaseEncoder
  from monai.networks.nets import FLEXUNET_BACKBONE, EfficientNetBNFeatures, FlexibleUNet, FlexUNetEncoderRegister, ResNet, ResNetBlock, ResNetBottleneck
  from monai.utils import optional_import
  from tests.utils import skip_if_downloading_fails, skip_if_quick
label_desc: Use image node_id 4 for calling a global function with example usage: make_error_case() and returns: error_param_list