code: def forward(self, X, **kwargs):
      X = self.cnn(X)
      X = X.reshape(-1, 64 * 12 * 12)
      X = self.out(X)
      return X
  
imports: import argparse
  import time
  import numpy
  from sklearn.datasets import fetch_openml
  from sklearn.model_selection import train_test_split
  from sklearn.model_selection import StratifiedKFold
  from sklearn.metrics import accuracy_score
  from sklearn.utils import shuffle
  import torch
  from torch import nn
  from skorch.utils import to_device
  from skorch import NeuralNetClassifier
  from skorch.callbacks import EpochScoring
label_desc: Use image node_id 2 for calling the ClassifierModule obj's underlying member method code with example usage: obj.forward(X) and returns: X