code: def change_input_channels(
      self, input_channels: int, mode="auto", **kwargs
  ):
      self.stem.conv_bn_relu_1.conv = make_n_channel_input(
          self.stem.conv_bn_relu_1.conv, input_channels, mode
      )
  
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 4 for calling the XResNet obj's underlying member method code with example usage: obj.change_input_channels(input_channels, mode) without return types