code: def to_layers(self):
      layers = [
          *self.features,
          lambda x: x.view(x.size(0), -1),
          self.classifier,
      ]
      return layers
  
imports: import pytest
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  import deepspeed
  import deepspeed.comm
  import deepspeed.runtime.utils
  from deepspeed.runtime.utils import required_torch_version
  from deepspeed.accelerator import get_accelerator
  from deepspeed.runtime.pipe.module import PipelineModule, LayerSpec
label_desc: Use image node_id 1 for calling the AlexNetPipe obj's underlying member method code with example usage: obj.to_layers() and returns: layers