parameters: (self, ellLayers)
docstring: Appends the ELL representation of the current layer to ellLayers.
docstring_summary: Appends the ELL representation of the current layer to ellLayers.
docstring_tokens: Appends the ELL representation of the current layer to ellLayers .
function: def process(self, ellLayers):
          """Appends the ELL representation of the current layer to ellLayers."""
  
          # Create the ell.neural.LayerParameters for the ELL layer
          layerParameters = ell.neural.LayerParameters(
              self.layer.ell_inputShape, self.layer.ell_inputPaddingParameters, self.layer.ell_outputShape,
              self.layer.ell_outputPaddingParameters, ell.nodes.PortType.smallReal)
  
          # Create the ELL activation layer
          ellLayers.append(ell.neural.ActivationLayer(
              layerParameters, ell.neural.ActivationType.relu))
function_tokens: def process ( self , ellLayers ) : # Create the ell.neural.LayerParameters for the ELL layer layerParameters = ell . neural . LayerParameters ( self . layer . ell_inputShape , self . layer . ell_inputPaddingParameters , self . layer . ell_outputShape , self . layer . ell_outputPaddingParameters , ell . nodes . PortType . smallReal ) # Create the ELL activation layer ellLayers . append ( ell . neural . ActivationLayer ( layerParameters , ell . neural . ActivationType . relu ) )