docstr: Get the summary of the model.
  
  The summary is textual and includes information about:
  The layers and their order in the model.
  The output shape of each layer.
  
  Returns
  -------
  summary : NoneType
      the summary of the model
docstr_tok: ["Get","the","summary","of","the","model",".","The","summary","is","textual","and","includes","information","about",":","The","layers","and","their","order","in","the","model",".","The","output","shape","of","each","layer",".","Returns","--","--","--","-","summary",":","NoneType","the","summary","of","the","model"]
code: def summary(self):
      """Get the summary of the model.
  
      The summary is textual and includes information about:
      The layers and their order in the model.
      The output shape of each layer.
  
      Returns
      -------
      summary : NoneType
          the summary of the model
      """
      return self.model.summary()
  
file_path: dipy/dipy/nn/cnn_1d_denoising.py
imports: from dipy.utils.optpkg import optional_package
  import numpy
label_desc: Use image node_id 3 for calling the Cnn1DDenoiser obj's underlying member method code with example usage: obj.summary() and returns: self