code: def __init__(self):
      super().__init__()
      self.dense0 = nn.Linear(100, 2)
      self.nonlin = nn.LogSoftmax(dim=-1)
  
imports: import numpy
  import torch
  from accelerate import Accelerator
  from sklearn.datasets import make_classification
  from sklearn.metrics import accuracy_score
  from torch import nn
  from torch.distributed import TCPStore
  from skorch import NeuralNetClassifier
  from skorch.hf import AccelerateMixin
  from skorch.history import DistributedHistory
label_desc: Use image node_id 1 to create a new MyModule object from inherited base classes: torch.nn with example: obj = MyModule()