code: def forward(self, x):
      return self.model(x)
  
imports: import os
  import torch
  import torch.nn
  import torch.optim
  from keras import layers
  import keras
  import numpy
  import torch.multiprocessing
  import torch.distributed
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import DataLoader, Dataset
  from torch.utils.data.distributed import DistributedSampler
label_desc: Use image node_id 2 for calling the MyModel obj's underlying member method code with example usage: obj.forward(x) and returns: self