code: def forward(self, x):
      if ~self.mode:
          return x * x + self.param[0] * x + self.param[1]
      else:
          return (
              10 * x * x * x
              + self.param[0] * x * x
              + self.param[1] * x
              + self.param[2]
          )
  
file_path: horovod/examples/adasum/adasum_small_model.py
imports: import torch
  import random
  import horovod.torch
  import numpy
  import argparse
  import os
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x) and returns: unknown, unknown