class_docstr: The base class for a network layer.
      
class_docstr_tok: ["The","base","class","for","a","network","layer","."]
docstr: Tuple in which i'th element contains complete information about the link between i'th input layer
  and `self` (layer name, output idx)
docstr_tok: ["Tuple","in","which","i'th","element","contains","complete","information","about","the","link","between","i'th","input","layer","and","`","self","`","(","layer","name",",","output","idx",")"]
code: def input_links(self):
      """Tuple in which i'th element contains complete information about the link between i'th input layer
      and `self` (layer name, output idx)
      """
      return tuple(
          (
              self._internal.get_input_name(idx),
              self._internal.get_input_output_idx(idx),
          )
          for idx in range(self._internal.get_input_count())
      )
  
imports: import neoml.PythonWrapper
  import neoml.Random
label_desc: Use image node_id 6 for calling the Layer obj's underlying member method code with example usage: obj.input_links() and returns: tuple