class_docstr: The only difference from vanilla ResNet is that it has 'layer0' module
code: def encoder_layers(self):
      return [
          self.layer0,
          self.layer1,
          self.layer2,
          self.layer3,
          self.layer4,
      ]
  
imports: from typing import List
  import torch
  from torch import Tensor
  from .common import EncoderModule, _take, make_n_channel_input
  from ..backbone.senet import SENet, se_resnext50_32x4d, se_resnext101_32x4d, se_resnet50, se_resnet101, se_resnet152, senet154
label_desc: Use image node_id 2 for calling the SEResnetEncoder obj's underlying member method code with example usage: obj.encoder_layers() and returns: list