code: def change_input_channels(
      self, input_channels: int, mode="auto", **kwargs
  ):
      self.layer0.conv1 = make_n_channel_input(
          self.layer0.conv1, input_channels, mode
      )
      return self
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/encoders/squeezenet.py
imports: from collections import OrderedDict
  from torch import nn
  from torchvision.models import squeezenet1_1
  from .common import EncoderModule, make_n_channel_input
label_desc: Use image node_id 3 for calling the SqueezenetEncoder obj's underlying member method code with example usage: obj.change_input_channels(input_channels, mode) and returns: self