class_docstr: Implementation of a ModLeNet model
  
  :param img_size (int): Dimension of input image
  :param hidden_size (int): Hidden layer dimension
  :param num_classes (int): Number of classes for classification
  :param in_channels (int): Number of channels in input specimens
code: def forward(self, x):
      x = self.cnn(x)
      x = x.view(x.size(0), -1)
      x = self.fc(x)
      return x
  
file_path: KD_Lib/KD_Lib/models/lenet.py
imports: import torch.nn
label_desc: Use image node_id 2 for calling the ModLeNet obj's underlying member method code with example usage: obj.forward(x) and returns: x