code: def forward(self, x, y):
      hidden_dim = self.linear1(x)
      output, _, _ = self.moe_1(hidden_dim)
      output = self.linear2(output)
      output, _, _ = self.moe_2(output)
      output = self.linear3(output)
      hidden_dim = hidden_dim + output
      sentence_embed = hidden_dim.mean(1)
      return self.cross_entropy_loss(sentence_embed, y)
  
imports: import os
  import json
  import argparse
  import torch
  from collections import OrderedDict
  from deepspeed.pipe import PipelineModule, LayerSpec
  from deepspeed.moe.layer import MoE
  from deepspeed.accelerator import get_accelerator
  import deepspeed.comm
label_desc: Use image node_id 2 for calling the SimpleMoEModel obj's underlying member method code with example usage: obj.forward(x, y) and returns: self