code: def create_model(pretrained=False, **kwargs):
      """Constructs a CNN model.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained
      """
      model = LSGAN_MLP(**kwargs)
  
      return model
  
file_path: singa/examples/gan/model/lsgan_mlp.py
imports: from singa import layer
  from singa import model
  from singa import autograd
label_desc: Use image node_id 1 for calling a global function with example usage: create_model(pretrained) and returns: model