code: def get_encoder_parameters(cls):
      basic_dict = {
          "spatial_dims": 2,
          "in_channels": 3,
          "pretrained": False,
      }
      param_dict_list = [basic_dict]
      for key in basic_dict:
          cur_dict = basic_dict.copy()
          del cur_dict[key]
          param_dict_list.append(cur_dict)
      return param_dict_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 1 for calling the DummyEncoder obj's underlying member method code with example usage: obj.get_encoder_parameters(cls) and returns: param_dict_list