parameters: (self, conversion_parameters: typing.Mapping[str, typing.Any])
return_statement: return ell.neural.BiasLayer(layer_parameters, bias)
docstring: Derived classes override to return the appropriate ELL node
docstring_summary: Derived classes override to return the appropriate ELL node
docstring_tokens: Derived classes override to return the appropriate ELL node
function: def convert(self, conversion_parameters: typing.Mapping[str, typing.Any]):
          """
          Derived classes override to return the appropriate ELL node
          """
          layer_parameters = self.get_layer_parameters(conversion_parameters)
          bias = self.get_ell_vector(
              self.importer_node.weights["bias"][0], conversion_parameters)
  
          return ell.neural.BiasLayer(layer_parameters, bias)
function_tokens: def convert ( self , conversion_parameters : typing . Mapping [ str , typing . Any ] ) : layer_parameters = self . get_layer_parameters ( conversion_parameters ) bias = self . get_ell_vector ( self . importer_node . weights [ "bias" ] [ 0 ] , conversion_parameters ) return ell . neural . BiasLayer ( layer_parameters , bias )