code: def forward(self, X):
      X = self.dense0(X)
      X = self.nonlin(X)
      return X
  
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 2 for calling the MyModule obj's underlying member method code with example usage: obj.forward(X) and returns: X