code: def XResNet101Encoder(**kwargs):
      return XResNet(4, [3, 4, 23, 3], **kwargs)
  
imports: from collections import OrderedDict
  from typing import List, Union
  import torch
  from torch import nn
  from pytorch_toolbelt.modules import ACT_RELU, instantiate_activation_block, ChannelSpatialGate2d
  from pytorch_toolbelt.modules.encoders import EncoderModule, make_n_channel_input
label_desc: Use image node_id 5 for calling a global function with example usage: XResNet101Encoder() and returns: XResNet