code: def __init__(self):
      super().__init__()
      self.net1 = torch.nn.Linear(10, 10)
      self.relu = torch.nn.ReLU()
      self.net2 = torch.nn.Linear(10, 5)
  
imports: import logging
  import os
  import unittest
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.optim
  from torch.nn.parallel import DistributedDataParallel
  from pytorch_metric_learning.losses import ContrastiveLoss, CrossBatchMemory
  from pytorch_metric_learning.miners import PairMarginMiner
  from pytorch_metric_learning.utils import distributed
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 1 to create a new ToyMpModel object from inherited base classes: torch.nn with example: obj = ToyMpModel()