code: def forward(self, x, y):
      hidden = x
      hidden = self.linear(hidden)
      return self.cross_entropy_loss(hidden, y)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/small_model_debugging/test_model.py
imports: import os
  import json
  import argparse
  import torch
  import deepspeed
  from torch.utils.data.distributed import DistributedSampler
  import deepspeed.comm
label_desc: Use image node_id 2 for calling the SimpleModel obj's underlying member method code with example usage: obj.forward(x, y) and returns: self