code: def forward(self, x, y):
      x = self.features(x)
      x = x.view(x.size(0), -1)
      x = self.classifier(x)
      return self.loss_fn(x, y)
  
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 2 for calling the AlexNet obj's underlying member method code with example usage: obj.forward(x, y) and returns: self